Relevant bibliographies by topics / The Power of Prompts

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'The Power of Prompts'

Author: Grafiati
Published: 29 July 2024
Last updated: 19 July 2025

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Journal articles on the topic "The Power of Prompts"

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Wei, Jing, Sungdong Kim, Hyunhoon Jung, and Young-Ho Kim. "Leveraging Large Language Models to Power Chatbots for Collecting User Self-Reported Data." Proceedings of the ACM on Human-Computer Interaction 8, CSCW1 (2024): 1–35. http://dx.doi.org/10.1145/3637364.

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Large language models (LLMs) provide a new way to build chatbots by accepting natural language prompts. Yet, it is unclear how to design prompts to power chatbots to carry on naturalistic conversations while pursuing a given goal such as collecting self-report data from users. We explore what design factors of prompts can help steer chatbots to talk naturally and collect data reliably. To this aim, we formulated four prompt designs with different structures and personas. Through an online study (N = 48) where participants conversed with chatbots driven by different designs of prompts, we assessed how prompt designs and conversation topics affected the conversation flows and users' perceptions of chatbots. Our chatbots covered 79% of the desired information slots during conversations, and the designs of prompts and topics significantly influenced the conversation flows and the data collection performance. We discuss the opportunities and challenges of building chatbots with LLMs.
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Liang, Jenny T., Melissa Lin, Nikitha Rao, and Brad A. Myers. "Prompts Are Programs Too! Understanding How Developers Build Software Containing Prompts." Proceedings of the ACM on Software Engineering 2, FSE (2025): 1591–614. https://doi.org/10.1145/3729342.

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Generative pre-trained models power intelligent software features used by millions of users controlled by developer-written natural language prompts. Despite the impact of prompt-powered software, little is known about its development process and its relationship to programming. In this work, we argue that some prompts are programs and that the development of prompts is a distinct phenomenon in programming known as “prompt programming”. We develop an understanding of prompt programming using Straussian grounded theory through interviews with 20 developers engaged in prompt development across a variety of contexts, models, domains, and prompt structures. We contribute 15 observations to form a preliminary understanding of current prompt programming practices. For example, rather than building mental models of code, prompt programmers develop mental models of the foundation model (FM)’s behavior on the prompt by interacting with the FM. While prior research shows that experts have well-formed mental models, we find that prompt programmers who have developed dozens of prompts still struggle to develop reliable mental models. Our observations show that prompt programming differs from traditional software development, motivating the creation of prompt programming tools and providing implications for software engineering stakeholders.
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Kędzia, Paweł, Maciej Piasecki, Ewa Rudnicka, and Konrad Przybycień. "Automatic Prompt System in the Process of Mapping plWordNet on Princeton WordNet." Cognitive Studies | Études cognitives, no. 13 (June 21, 2015): 123–41. http://dx.doi.org/10.11649/cs.2013.008.

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Automatic Prompt System in the Process of Mapping plWordNet on Princeton WordNetThe paper offers a critical evaluation of the power and usefulness of an automatic prompt system based on the extended Relaxation Labelling algorithm in the process of (manual) mapping plWordNet on Princeton WordNet. To this end the results of manual mapping – that is inter-lingual relations between plWN and PWN synsets – are juxtaposed with the automatic prompts that were generated for the source language synsets to be mapped. We check the number and type of inter-lingual relations introduced on the basis of automatic prompts and the distance of the respective prompt synsets from the actual target language synsets.
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YAO, Yiyang, Zexing DU, Guoqing ZHOU, and Qing WANG. "Multi-spectral fusion power equipment fault recognition based on prompt learning." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 43, no. 2 (2025): 410–17. https://doi.org/10.1051/jnwpu/20254320410.

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To address the issue of weak fault recognition ability of power equipment in single-spectrum images, a multi-spectral fusion recognition method based on prompt learning is proposed. A multi-spectral imaging system is used to capture images of normal and faulty power equipment, collecting multi-spectral data including visible light, infrared, and ultraviolet. The collected dataset is annotated with text labels for training the large model. The generalization ability of the large model in power equipment fault recognition is verified, and the original large model is tested on the collected dataset for device type and fault recognition. Trainable prompts based on infrared and ultraviolet images are designed for parameter updates. Throughout the training process, the parameters of the pre-trained large model remain fixed, and only the designed lightweight prompts are updated, significantly reducing the number of training parameters and alleviating the model's dependence on large-scale datasets. The proposed method is compared with several existing methods, and the results demonstrate that this approach can greatly improve the accuracy of power equipment fault recognition, achieving an accuracy of 90.14%. Ablation experiments and visual results further validate the effectiveness of the method. Additionally, the proposed method optimizes only a small number of trainable parameters, ensuring its efficiency.
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Sharma, Shantanu, and Naveed Afzal. "Revolutionizing Lead Qualification: The Power of LLMs Over Traditional Methods." International Journal of Artificial Intelligence & Applications 16, no. 2 (2025): 25–36. https://doi.org/10.5121/ijaia.2025.16204.

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This paper examines the potential of Large Language Models (LLMs) in revolutionizing lead qualification processes within sales and marketing. We critically analyze the limitations of traditional methods, such as dynamic branching and decision trees, during the lead qualification phase. To address these challenges, we propose a novel approach leveraging LLMs. Two methodologies are presented: a single-phase approach using one comprehensive prompt and a multi-phase approach employing discrete prompts for different stages of lead qualification. The paper highlights the advantages, limitations, and potential business implementation of these LLM-driven approaches, along with ethical considerations, demonstrating their flexibility, maintenance requirements, and accuracy in lead qualification.
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AIRCC. "Revolutionizing Lead Qualification: The Power of LLMs Over Traditional Methods." International Journal of Artificial Intelligence & Applications (IJAIA) 16, no. 2 (2025): 25–36. https://doi.org/10.5121/ijaia.2025.16204.

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This paper examines the potential of Large Language Models (LLMs) in revolutionizing lead qual- ification processes within sales and marketing. We critically analyze the limitations of traditional methods, such as dynamic branching and decision trees, during the lead qualification phase. To addressthese challenges, we propose a novel approach leveraging LLMs. Two methodologies are presented: a single-phase approach using one comprehensive prompt and a multi-phase approach employing discrete prompts for different stages of lead qualification. The paper highlights the advantages, limitations, and potential business implementation of these LLM-driven approaches, along with ethical considerations, demonstrating theirflexibility, maintenance requirements, and accuracy in lead qualification.
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I. Nezer, Ahmed, Bashar AlEsawi, and Wisam Makki Salim. "Prompt Engineering: Unleashing the Power of Large Language Models to Defend Against Social Engineering Attacks." Iraqi Journal For Computer Science and Mathematics 5, no. 3 (2024): 404–16. http://dx.doi.org/10.52866/ijcsm.2024.05.03.024.

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Prompt Engineering is an emerging area of study that pertains to the act of conceptualizing, perfecting, and executing prompts that guide an AI model to an intended purpose. The AI model is an LLM, which they are the “hit” of our time and probably the controversial type of AI. They are capable of executing several tasks using natural language processing algorithms. Due to their ease of use and fast development, they are becoming highly dependent. We found that to interact correctly with these models and gain the best performance, several techniques should be taken into consideration. Moreover, there are additional methods or tips to write a good prompt.
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Wang, Fengxiang, Wanrong Huang, Shaowu Yang, Qi Fan, and Long Lan. "Learning to Learn Better Visual Prompts." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 6 (2024): 5354–63. http://dx.doi.org/10.1609/aaai.v38i6.28343.

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Prompt tuning provides a low-cost way of adapting vision-language models (VLMs) for various downstream vision tasks without requiring updating the huge pre-trained parameters. Dispensing with the conventional manual crafting of prompts, the recent prompt tuning method of Context Optimization (CoOp) introduces adaptable vectors as text prompts. Nevertheless, several previous works point out that the CoOp-based approaches are easy to overfit to the base classes and hard to generalize to novel classes. In this paper, we reckon that the prompt tuning works well only in the base classes because of the limited capacity of the adaptable vectors. The scale of the pre-trained model is hundreds times the scale of the adaptable vector, thus the learned vector has a very limited ability to absorb the knowledge of novel classes. To minimize this excessive overfitting of textual knowledge on the base class, we view prompt tuning as learning to learn (LoL) and learn the prompt in the way of meta-learning, the training manner of dividing the base classes into many different subclasses could fully exert the limited capacity of prompt tuning and thus transfer it power to recognize the novel classes. To be specific, we initially perform fine-tuning on the base class based on the CoOp method for pre-trained CLIP. Subsequently, predicated on the fine-tuned CLIP model, we carry out further fine-tuning in an N-way K-shot manner from the perspective of meta-learning on the base classes. We finally apply the learned textual vector and VLM for unseen classes.Extensive experiments on benchmark datasets validate the efficacy of our meta-learning-informed prompt tuning, affirming its role as a robust optimization strategy for VLMs.
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Zhang, Chenrui, Lin Liu, Chuyuan Wang, et al. "PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 17 (2024): 19525–32. http://dx.doi.org/10.1609/aaai.v38i17.29924.

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As an effective tool for eliciting the power of Large Language Models (LLMs), prompting has recently demonstrated unprecedented abilities across a variety of complex tasks. To further improve the performance, prompt ensemble has attracted substantial interest for tackling the hallucination and instability of LLMs. However, existing methods usually adopt a two-stage paradigm, which requires a pre-prepared set of prompts with substantial manual effort, and is unable to perform directed optimization for different weak learners. In this paper, we propose a simple, universal, and automatic method named PREFER (Prompt Ensemble learning via Feedback-Reflect-Refine) to address the stated limitations. Specifically, given the fact that weak learners are supposed to focus on hard examples during boosting, PREFER builds a feedback mechanism for reflecting on the inadequacies of existing weak learners. Based on this, the LLM is required to automatically synthesize new prompts for iterative refinement. Moreover, to enhance stability of the prompt effect evaluation, we propose a novel prompt bagging method involving forward and backward thinking, which is superior to majority voting and is beneficial for both feedback and weight calculation in boosting. Extensive experiments demonstrate that our PREFER achieves state-of-the-art performance in multiple types of tasks by a significant margin. We have made our code publicly available.
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Hou, Shiyu, Tianfei Zhou, Shuai Zhang, Ye Yuan, and Guoren Wang. "Prompt Tuning In a Compact Attribute Space." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 4 (2025): 3518–26. https://doi.org/10.1609/aaai.v39i4.32365.

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Prompt tuning (PT) has emerged as a key to unlocking the power of visual-language models like CLIP for various downstream tasks. Predominant approaches learn a small set of task-relevant soft prompts by solving an image-class matching problem. Nevertheless, by optimizing merely with respect to class names, they face challenges in learning high performant prompts capable of capturing fine-grained, diverse characteristics of each class, and tends to overfit potentially biased distribution of base classes. In this work, we propose PTinCAS to tackle prompt tuning in a compact attribute space, driven by the premise that attributes offer detailed class interpretations and can facilitate transfer across related categories. Particularly, PTinCAS is grounded in two innovative designs. First, we create a compact attribute space by properly prompting large language models to generate factual descriptions about categories, which are subsequently clustered to form a concise attribute vocabulary. Second, we leverage attributes as a source of supervision in PT to transfer the inherent common sense knowledge in attributes to soft prompts. An object-aware visual prompting mechanism is developed to effortlessly highlight intended regions in the original image, which guides the model towards learning visual attributes associated with object regions rather than the background. We show that PTinCAS not only improves few-shot generalizability compared to existing PT methods, but also provides some level of inherent explainability that helps us understand why a class name is determined based on the attributes activated in an image.
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Dissertations / Theses on the topic "The Power of Prompts"

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Salequzzaman, Md. "Can tidal power promote sustainable integrated coastal development in Bangladesh?" Thesis, Salequzzaman, Md. (2004) Can tidal power promote sustainable integrated coastal development in Bangladesh? PhD thesis, Murdoch University, 2004. https://researchrepository.murdoch.edu.au/id/eprint/286/.

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Tidal power is a clean renewable energy. Furthermore, electricity is acknowledged as a key need for development. However, until recently, due to high capital costs and extensive environmental concerns, few tidal power plants are operative around the world. These problems are now being mitigated by the application of appropriate, modern practices and technologies. In particular the use of small scale technologies, innovative financing and the involvement of local communities creates the potential for tidal power to be a tool in coastal development. This thesis examines the appropriateness of tidal power in the rural coastal community of Bangladesh, where electricity demand is a major development problem. Coastal Bangladesh is highly vulnerable to natural disasters, especially from cyclones, tidal surges and the effects of global warming on sea-level rise. Consequently, most of this coastal area has been protected by embankments and sluice gates, which can accommodate the normal tidal head rise and fall. The potential of tidal power to use this infrastructure, together with its associated problems and mitigation measures, have been analysed by comparing existing and potential tidal power technologies around the world, including a proposed Kimberley tidal power project in Western Australia. The research has identified that a significant amount of power could be produced from the tidal range of coastal Bangladesh by using the simple low-cost technology of tidal wheels in the tidal embankment sluice gates. The electricity produced could be utilised by various coastal interests, such as agriculture, shrimp aquaculture and other resource producing activities. However, the real benefits of this technology are that it can be applied in a way that simultaneously enables the development of local infrastructure and the improvement in living conditions of the local people by creating income generation and employment opportunities in these coastal communities. The thesis puts forward a community based co-management model as a means of effectively integrating tidal power in coastal area management in Bangladesh.
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Salequzzaman, Md. "Can tidal power promote sustainable integrated coastal development in Bangladesh? /." Access via Murdoch University Digital Theses Project, 2004. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20040428.151218.

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au, Salek@central murdoch edu, and M. D. Salequzzaman. "Can Tidal Power Promote Sustainable Integrated Coastal Development in Bangladesh?" Murdoch University, 2004. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20040428.151218.

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Tidal power is a clean renewable energy. Furthermore, electricity is acknowledged as a key need for development. However, until recently, due to high capital costs and extensive environmental concerns, few tidal power plants are operative around the world. These problems are now being mitigated by the application of appropriate, modern practices and technologies. In particular the use of small scale technologies, innovative financing and the involvement of local communities creates the potential for tidal power to be a tool in coastal development. This thesis examines the appropriateness of tidal power in the rural coastal community of Bangladesh, where electricity demand is a major development problem. Coastal Bangladesh is highly vulnerable to natural disasters, especially from cyclones, tidal surges and the effects of global warming on sea-level rise. Consequently, most of this coastal area has been protected by embankments and sluice gates, which can accommodate the normal tidal head rise and fall. The potential of tidal power to use this infrastructure, together with its associated problems and mitigation measures, have been analysed by comparing existing and potential tidal power technologies around the world, including a proposed Kimberley tidal power project in Western Australia. The research has identified that a significant amount of power could be produced from the tidal range of coastal Bangladesh by using the simple low-cost technology of tidal wheels in the tidal embankment sluice gates. The electricity produced could be utilised by various coastal interests, such as agriculture, shrimp aquaculture and other resource producing activities. However, the real benefits of this technology are that it can be applied in a way that simultaneously enables the development of local infrastructure and the improvement in living conditions of the local people by creating income generation and employment opportunities in these coastal communities. The thesis puts forward a community based co-management model as a means of effectively integrating tidal power in coastal area management in Bangladesh.
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Salequzzaman, M. D. "Can tidal power promote sustainable integrated coastal development in Bangladesh?" Salequzzaman, M.D. (2004) Can tidal power promote sustainable integrated coastal development in Bangladesh? PhD thesis, Murdoch University, 2004. http://researchrepository.murdoch.edu.au/286/.

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Tidal power is a clean renewable energy. Furthermore, electricity is acknowledged as a key need for development. However, until recently, due to high capital costs and extensive environmental concerns, few tidal power plants are operative around the world. These problems are now being mitigated by the application of appropriate, modern practices and technologies. In particular the use of small scale technologies, innovative financing and the involvement of local communities creates the potential for tidal power to be a tool in coastal development. This thesis examines the appropriateness of tidal power in the rural coastal community of Bangladesh, where electricity demand is a major development problem. Coastal Bangladesh is highly vulnerable to natural disasters, especially from cyclones, tidal surges and the effects of global warming on sea-level rise. Consequently, most of this coastal area has been protected by embankments and sluice gates, which can accommodate the normal tidal head rise and fall. The potential of tidal power to use this infrastructure, together with its associated problems and mitigation measures, have been analysed by comparing existing and potential tidal power technologies around the world, including a proposed Kimberley tidal power project in Western Australia. The research has identified that a significant amount of power could be produced from the tidal range of coastal Bangladesh by using the simple low-cost technology of tidal wheels in the tidal embankment sluice gates. The electricity produced could be utilised by various coastal interests, such as agriculture, shrimp aquaculture and other resource producing activities. However, the real benefits of this technology are that it can be applied in a way that simultaneously enables the development of local infrastructure and the improvement in living conditions of the local people by creating income generation and employment opportunities in these coastal communities. The thesis puts forward a community based co-management model as a means of effectively integrating tidal power in coastal area management in Bangladesh.
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Salequzzaman, Md. "Can tidal power promote sustainable integrated coastal development in Bangladesh?" Connect to this title online, 2003. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20040428.151218.

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Saleminik, Motahareh. "Power of Napping`Designing a Tool to Promote Napping Behavior’." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1595848274679832.

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Thornton, Katherine C. (Katherine Claire). "Minimum carbon tax level needed to prompt a widespread shift to nuclear power." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/41687.

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Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Nuclear Science and Engineering, 2007.<br>Includes bibliographical references (leaves 45-50).<br>Carbon dioxide is suspected to be a major contributor to global warming. In the United States, nearly 70% of electricity is produced using coal or natural gas, both of which emit carbon dioxide into the environment. Nuclear power, which does not emit any carbon dioxide, produces 17% of the electricity consumed in the United States. In order to persuade utilities to switch from coal or natural gas to nuclear power and thus reduce carbon dioxide emissions, a carbon tax should be implemented. Depending on the cost of construction for new nuclear plants and the level of savings that will incentivize utilities to switch, the carbon tax needed to promote nuclear power will range between $20/tC and $200/tC. The full range of carbon tax scenarios are developed in this thesis, with the most likely carbon tax being $1 10/tC. This cost assumes a $1800/kw capital construction cost and a 10% risk perception premium on the bus bar cost of power to address the financial and industry community's somewhat negative perception of nuclear investments. From a policy perspective, this carbon tax will be more effective in causing utilities to move to nuclear power than a cap and trade policy. From a utility standpoint, switching to nuclear power under a carbon tax is less expensive than implementing a program of carbon capture and sequestration.<br>by Katherine C. Thornton.<br>S.B.
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Schwartz, David. "Harnessing Power: Exploring Citizen's Use of Networked Technologies to Promote Police Accountability." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/35338.

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In this examination of citizen surveillance, I engage with Foucaultian and Deleuzian conceptualizations of surveillance, power, resistance, control, and desire, to explore the motivation(s) of community members who film and disseminate footage of the police. Methodologically, I conducted semi-structured interviews with community stakeholders to study the latent thematic ideas embedded in their responses. These themes represent the underlying motivational factors a citizen surveiller may have when filming the police. In my analysis of these themes, I explore: citizen surveillers’ logic for resisting power; citizen surveillers’ understandings of power; and, citizen surveillers’ reported approaches to both passive and active forms of resistance. Subsequently, there appears to be an underlying desire for power and a resistance to power when filming the police. However, given the exploratory nature of this study, there is a need to continue investigating the theoretical and under substantiated claims about citizen surveillance and its association with race, gender and socio-economic status.
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DeCanio, Samuel. "On the Autonomy of the Democratic State: How Mass Democracy Promotes State Power." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1218519180.

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Bakhtiari, Babak. "The Challenges of Feed-in Tariff Law as a Policy Instrument to Promote Wind Power in Iran." Thesis, Mittuniversitetet, Avdelningen för ekoteknik och hållbart byggande, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-23068.

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This study was carried out with the aim of finding out the challenges towards Feed-in Tariff law instrument in order to promote renewable energy in Iran. The targets of the study were chosen among authorities and investors in the field of wind energy. Wind power was selected as the case study because of its more popularity among investors. Qualitative research design was used to conduct the study and semi-structured interviews served as the method. Although there were a few studies done with the focus on renewable energy challenges in Iran, however, none of them focused on the challenges through Feed-in Tariff law. The results show that the law's long administrative process, lack of communication between authorities and investors, and rather low remuneration rate are the barriers to promote renewable energy in Iran. Furthermore, lack of financial assistance and imposed political and economical sanctions against Iran play an important role in this regard.
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Books on the topic "The Power of Prompts"

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Geva-May, Iris. What prompts health care policy change?: On health care policy and political power contests : a comparative study : Israel and Canada. Hebrew University of Jerusalem, Halbert Centre for Canadian Studies, 1999.

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Geva-May, Iris. What prompts health care policy change?: On health care policy and political power contests : a comparative study : Israel and Canada. Hebrew University of Jerusalem, Halbert Centre for Canadian Studies, 1999.

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Geva-May, Iris. What prompts health care policy change?: On health care policy and political power contests : a comparative study : Israel and Canada. Hebrew University of Jerusalem, Halbert Centre for Canadian Studies, 1999.

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Parikh, Pooja Seth. Harnessing consumer power: Using certification systems to promote good governance. Environmental Law Institute, 2003.

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Dave, Greely, ed. Online broadcasting power: Create and promote radio stations on the Internet. Muska & Lipman, 2000.

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Winrock International (Organization : Kathmandu, Nepal) and National Workshop on Sharing Hydropower Royalty (2005 : Kathmandu, Nepal), eds. Reorienting the distribution and use of hydropower royalty to promote equity and justice: Proceedings of a National Workshop on Sharing Hydropower Royalty. Winrock International, 2006.

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Beals, Melba. Expose yourself: Using the power of public relations to promote your business and yourself. Chronicle Books, 1990.

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Jones, Susan Smith. The healing power of naturefoods: 50 revitalizing superfoods & lifestyle choices to promote vibrant health. Hay House, 2007.

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White, Peter. Pictures & power: A youth work project to promote children's rights and develop individuals' awareness and skills. Youth Work Press, 1995.

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White, Peter. Pictures & power: A youth work project to promote children's rights and develop individuals' awareness and skills. Youth Work Press, 1995.

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Book chapters on the topic "The Power of Prompts"

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Johnston, Lynda, and Robyn Longhurst. "32. Interviews." In Critical Physical Geography: Interdisciplinary Approaches to Nature, Power and Politics. Open Book Publishers, 2025. https://doi.org/10.11647/obp.0418.32.

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Interviews are one of the most used qualitative research methods for geographers. The interviewer asks questions in order to gather information, opinions and / or beliefs from interviewees. Interviewing requires careful preparation a list of predetermined questions, themes and conversation prompts.
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Kozak, Kathryn J. "Theorizing on Social Justice and Power." In Helping to Promote Social Justice. Routledge, 2021. http://dx.doi.org/10.4324/9781003055587-5.

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Woodville, Louisa. "Mary Tudor: Royal Castilian Images Promote Tudor Legitimacy and Power." In Queenship and Power. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-35688-9_5.

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Toosi, Fereshteh. "Oil Ancestors: Relating to Petroleum as Kin." In To the Last Drop - Affective Economies of Extraction and Sentimentality. transcript Verlag, 2023. http://dx.doi.org/10.14361/9783839464106-015.

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In this essay, artist Fereshteh Toosi discusses their multimodal project Oil Ancestors which addresses the intricate relationship humans have with petroleum. Through the artworks described in this essay, the author proposes a paradigm shift in perceiving non-living entities such as petroleum as kin. Drawing from non-Western contemplative practices and Indigenous philosophies that honor intergenerational welfare, Oil Ancestors prompts sentimental reflection about petrocultures and reverence for the extensive temporal processes shaping substances like petroleum. Oil Ancestors employs the power of arts and culture to foster affective connections to geological history and the far-reaching repercussions of extraction.
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Poudineh, Rahmatallah, Craig Brown, and Benjamin Foley. "Current Support Policies to Promote Offshore Wind Power." In Economics of Offshore Wind Power. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66420-0_5.

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Fewsmith, Joseph, and Nancy Hearst. "The Opinion That Henceforth We Should Not Promote New Rich Peasants Is Incorrect 1." In Mao's Road to Power. Routledge, 2023. http://dx.doi.org/10.4324/9781315719436-104.

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Wilcox, Alison. "Prompts." In Descriptosaurus Personal Writing. Routledge, 2021. http://dx.doi.org/10.4324/9781003215653-7.

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Herold-Blasius, Raja. "Prompts." In Essener Beiträge zur Mathematikdidaktik. Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-32292-2_4.

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Bertolino, Nadia. "Practicing Care Through Architecture: Participatory Research as a Tool to Subvert Power Structures." In Springer Series in Design and Innovation. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-71959-2_22.

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AbstractThe paper raises questions about the extent to which architectural research can function as a tool for challenging power dynamics and facilitating a critique of capitalism. This aligns with the assertion by Meiksins Wood that such a critique of capitalism “requires a constantly renewed critique of the analytic instruments designed to understand it” [1]. In the final chapter of “Critique of Architecture,” Spencer, in an interview with Kosec, asserts that architecture serves as the central and foundational arena for education, surveillance, and discipline [2]. Within this context, the paper seeks to explore this question by offering a critical examination of the recent participatory research project “Architectures of Care”. This project involved the mapping of social and environmental care practices within three self-organized communities in Italy, Turkey, and the UK. The paper will particularly focus on the challenges associated with conducting research through participatory methods, wherein participants become co-researchers. Additionally, it will address the controversial role of the “neutral researcher” within this framework. The “Architectures of Care” project provides valuable insights that contribute to the discussion of whether architecture can foster caring environments. Furthermore, it prompts reflection on the significance of involving self-organized communities in our research agenda. These communities are perceived as non-commodified agents that have the potential to challenge prevailing power structures, establish networks of care, and facilitate radical forms of social emancipation [3].
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Broadfoot, Patricia, Alison Oldfield, Rosamund Sutherland, and Sue Timmis. "Seeds of Change: The Potential of the Digital Revolution to Promote Enabling Assessment." In The Enabling Power of Assessment. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-5902-2_23.

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Conference papers on the topic "The Power of Prompts"

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Sant, Aleix, Carlos Escolano, Audrey Mash, Francesca De Luca Fornaciari, and Maite Melero. "The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs." In Proceedings of the 5th Workshop on Gender Bias in Natural Language Processing (GeBNLP). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.gebnlp-1.7.

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Hossain, Akram, Murad Hasan, Rabab Abdelfattah, Deja Scott, Kareem Abdelfatah, and Ahmed Sherif. "Evaluating Prompt Engineering for Generalized Power Line Segmentation." In SoutheastCon 2025. IEEE, 2025. https://doi.org/10.1109/southeastcon56624.2025.10971697.

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Kale, Atharva, Tanay Yaduka, Tauhid Shaikh, et al. "Unveiling the Power of AI Prompt Engineering: A Comprehensive Exploration." In 2024 10th International Conference on Electrical Energy Systems (ICEES). IEEE, 2024. https://doi.org/10.1109/icees61253.2024.10776884.

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Melamed, Rimon, Lucas Hurley McCabe, Tanay Wakhare, Yejin Kim, H. Howie Huang, and Enric Boix-Adserà. "Prompts have evil twins." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.4.

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Kanada, Yasusi. "Emergent Text-to-Image Generation Using Short Neologism Prompts and Negative Prompts." In 2024 Nicograph International (NicoInt). IEEE, 2024. http://dx.doi.org/10.1109/nicoint62634.2024.00027.

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Mehta, Anokhi, Luyao Niu, Dinuka Sahabandu, June Lukuyu, and Radha Poovendran. "A Principled Incentive Mechanism to Promote Economic Viability of Mini-Grids." In 2024 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2024. http://dx.doi.org/10.1109/pesgm51994.2024.10689025.

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Gao, Tianci. "Enhancing Robotic Adaptability: Integrating Unsupervised Trajectory Segmentation and Conditional ProMPs for Dynamic Learning Environments." In 2024 International Ural Conference on Electrical Power Engineering (UralCon). IEEE, 2024. http://dx.doi.org/10.1109/uralcon62137.2024.10718891.

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Chang, Xin, Dunyou Liang, Feng Peng, and Guoyu Zhang. "A New Prediction Paradigm for Nonprofessionals: Prompt-based Zero-code Wind Power Prediction." In 2024 6th International Conference on Power and Energy Technology (ICPET). IEEE, 2024. https://doi.org/10.1109/icpet62369.2024.10940181.

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Alrosan, Omar, Vipin Pandey, Fei Teng, and Charalambos Konstantinou. "Pricing Policy to Promote Demand Flexibility with Renewable Energy Resources in Jordan." In 2024 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2024. http://dx.doi.org/10.1109/pesgm51994.2024.10688430.

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Hsieh, Cho-Jui, Si Si, Felix Yu, and Inderjit Dhillon. "Automatic Engineering of Long Prompts." In Findings of the Association for Computational Linguistics ACL 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.findings-acl.634.

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Reports on the topic "The Power of Prompts"

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Milkman, Katherine, John Beshears, James Choi, David Laibson, and Brigitte Madrian. Following Through on Good Intentions: The Power of Planning Prompts. National Bureau of Economic Research, 2012. http://dx.doi.org/10.3386/w17995.

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Millán, Jaime. The Second Generation of Power Exchanges: Lessons for Latin America. Inter-American Development Bank, 1999. http://dx.doi.org/10.18235/0006812.

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Almost two decades after the beginning of the Chilean and English experiments in power sector reform and privatization, many other countries have adopted or are in the process of adopting a model that promotes competition in the wholesale power market that is based partly on the pioneering efforts of those two countries. Some countries which adopted the English model but whose systems are dominated by hydroelectric power found themselves constrained by a structure that did not apply to their particular situations. And now, England and Chile are themselves radically revising their power trading arrangements. This paper attempts to answer the questions: Does this mean that their systems failed and that the countries that adopted them should go on the alert and adjust their models?; Or does it mean that the experiment failed and that the opponents of reform and those who maintained that it was impossible to mount a competitive model in the wholesale electricity market were right? This paper looks at the structure of the power markets (first-generation and second-generation reforms) in Chile, England/Wales, Argentina, Norway, Colombia, Australia, the United States and Spain.
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Milkman, Katherine, John Beshears, James Choi, David Laibson, and Brigitte Madrian. Using Implementation Intentions Prompts to Enhance Influenza Vaccination Rates. National Bureau of Economic Research, 2011. http://dx.doi.org/10.3386/w17183.

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Hossain, Naomi, John Agbonifo, Martin Atela, et al. Demanding Power: Do Protests Empower Citizens to Hold Governments Accountable over Energy? Institute of Development Studies (IDS), 2021. http://dx.doi.org/10.19088/ids.2021.056.

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Energy protests are becoming increasingly common and significant around the world. While in the global North concerns tend to centre around climate issues, in the global South the concerns are more often with affordable energy. Both types of protests, however, have one issue in common: the undemocratic nature of energy policymaking. This paper draws together findings from research conducted in three countries, Mozambique, Nigeria, and Pakistan to ask how and under which conditions do struggles over energy access in fragile and conflict affected settings empower the powerless to hold public authorities to account? In exploring this theme, the study examines what factors support protests developing into significant episodes of contention within fragile settings, and whether these energy struggles promote citizen empowerment and institutional accountability.
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Arif, Sirojuddin, Risa Wardatun Nihayah, Niken Rarasati, Shintia Revina, and Syaikhu Usman. Of Power and Learning: DistrictHeads, Bureaucracy, and EducationPolicies in Indonesia’s Decentralised Political System. Research on Improving Systems of Education (RISE), 2022. http://dx.doi.org/10.35489/bsg-rise-wp_2022/111.

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This paper examines the politics of education policies in a decentralised political system. Under what conditions does decentralisation promote learning-enhancing policies? Despite the numerous works that have been written on decentralisation and education, little is known about how politics influenced local education policies. To address this problem, this paper looks at the linkages between local politics, bureaucratic capacity, and the development of learning-enhancing policies in Indonesia’s decentralised political system. More specifically, it assesses how regional variation in the discretionary power of district heads over employment decisions in the state bureaucracy explains the variation in local education policies in four districts in Indonesia. The primary data were collected through in-depth interviews with political leaders, bureaucrats, district education councils, school principals, teachers, teacher organisations, parents, non-government and community-based organisations, journalists, academicians, and other relevant informants. Using Mill’s method of difference, the comparative analysis presented in this paper demonstrates that institutional constraints on the discretionary power of the district head over employment decisions in the state bureaucracy do matter for the development of learning-enhancing policies. Such constraints can pave the way for the development of the bureaucratic capacity required for governments to pursue learning-enhancing policies. Absent constraints on the discretionary power of district heads over employment decisions in the state bureaucracy, the extent to which districts implement learning-enhancing policies will depend on district heads’ commitment to student learning.
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Cassoni, Adriana, Gabriela Fachola, and Gastón J. Labadie. The Economic Effects of Unions in Latin America: Their Impact on Wages and the Economic Performance of Firms in Uruguay. Inter-American Development Bank, 2002. http://dx.doi.org/10.18235/0011250.

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This study examines the impact of unionization and the level of centralization in bargaining, at the level of the industry or the firm, on wages and on the economic performance of firms within the manufacturing sector in Uruguay, using a panel of establishments for the period 1988 to 1995. The main findings suggest that unionization increases wages and employment and promotes investment due to firms substituting labor by capital. Unions tend to organize in those plants with highest rates of profits, but promote increases in productivity and prevent profitability increases. Given the negative effect of unionization at the industry level on the rate of growth of profitability of firms, results also suggest that unions tended to organize and to be stronger in those sectors in which extra rents were higher due to monopoly power.
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Fan, Xiaoyuan, Sinan G. Aksoy, Qiuhua Huang, et al. Coordination of Transmission, Distribution and Communication Systems for Prompt Power System Recovery after Disasters:Report – Grid and Communication Interdependency Review and Characterization of Typical Communication Systems. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1526728.

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Ayele, Seife, Wei Shen, Tadesse Kuma Worako, Lucy H. Baker, and Samson Hadush. Renewable Energy Procurement in Ethiopia: Overcoming Obstacles in Procurement from Independent Power Producers. Institute of Development Studies (IDS), 2021. http://dx.doi.org/10.19088/ids.2021.064.

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Developing countries are increasingly using auctions for the procurement of utility-scale renewable electricity, due to the potential for attracting private investment. However, auction design and implementation can face serious obstacles due to complex context-specific factors. In 2017, Ethiopia launched its Public–Private Partnership (PPP) policy and procurement framework to promote infrastructure development, including electricity generation. Since 2018, it has organised renewable energy auctions to procure new capacity from independent power producers (IPPs). However, the new framework faces numerous challenges. Using a literature review and primary data from more than 70 interviews and from stakeholder consultations, this study explores the political economy challenges and opportunities facing IPP project preparation, decision-making, coordination and implementation, and risks to investors. To date, Ethiopia has held two rounds of tenders to procure 1,000 megawatts (MW) of electricity from eight projects; the first tender for two solar photovoltaic (PV) projects led to the signing of Power Purchase Agreements (PPAs) and was hailed as one of the cheapest tariff rates in sub-Saharan Africa, at US$2.526 cents/kilowatt hour (kWh) over 25 years. However, none of the projects have yet become operational. This study also finds fault lines impeding the implementation of IPP projects, including the risk of foreign currency availability and convertibility of Ethiopian birr to expatriate profits. It proposes measures to overcome these obstacles and mitigate risks, to put Ethiopia on course to achieve universal access to electricity by 2030.
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Lopez, David, Mariana Weiss, José Francisco Pessanha, Karla Arias, Livia Gouvea, and Michelle Carvalho Metanias Hallack. The Effects of the Energy Transition on Power Sector Employment in Latin America. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0004715.

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The present study analyzes the relation between energy transition and the job creation potential in Latin America. It capitalizes on companies' characteristics to infer potential hiring process drivers in forthcoming years. The analysis is based on an econometric model on cross-sectional data to explain the dependent variable "potential hiring rate" depending on the firm's size (based on the number of clients), area of activity or technology, employees' level of education, and the existence of labor policies. The data came from 338 companies interviewed, including generation, transmission, distribution, energy transition services, oil and gas, and construction companies in six Latin American Countries (Bolivia, Chile, Costa Rica, Mexico, Panama, and Uruguay). The econometric study focused on 135 companies that declared hiring new employees in the next year concerning the time they were interviewed. The results show that the smaller energy companies with a larger participation of a qualified workforce will tend to have a higher expected hiring rate in the forthcoming year, implying an inverse relationship between a firm's size and potential hiring rate. The model findings convey that as the workforce is compounded with more qualified employees, the higher the expansion of the company's labor force will be, particularly in renewable generation companies. There is an additional aspect worth considering about the factors behind the company's potential hiring rate, and it is the question of job quality. The results suggest that firms hiring more are those with a lower number of policies in place. It can be explained by the fact that more traditional companies tend to have better-established policies, such as hydrocarbon and utilities. These are not the companies with the highest increase in the workforce. This takeaway raises a discussion about whether a change in the job's quality is associated with the energy transition or if it is just associated with new entrants that will become traditional in the following years. Moreover, it also helps to explain some of the political economies of the labor market that may play a role in the energy transition process. Therefore, one of the present study's main takeaways is the need to analyze deeper and promote job quality in smaller energy companies.
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Akinyi Kay, Monica, Salim Kombo, and Tiffany Xiangtong Liang. Civic engagement in Uganda: Outlining our gender-specific findings. Busara, 2025. https://doi.org/10.62372/knrr1483.

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At Busara, we have been working with different Civil Society Organizations (CSOs) in Kenya, Uganda, and Tanzania since 2015 to understand how communities engage with centers of non-political power(namely religious leaders/organizations, advocacy groups, and community based organizations). Through this engagement, we were looking to learn what drives civic engagement and how CSOs and activist groups can leverage behavioral knowledge to promote increased civic engagement and participation.
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