Gotowa bibliografia na temat „Natuaral language processing”

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Artykuły w czasopismach na temat "Natuaral language processing"

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Zhang, Kun, Jiali Zeng, Fandong Meng, et al. "Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 17 (2024): 19560–68. http://dx.doi.org/10.1609/aaai.v38i17.29928.

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Large language models (LLMs) have recently demonstrated remarkable performance across various Natual Language Processing tasks. In the field of multi-hop reasoning, the Chain-of-thought (CoT) prompt method has emerged as a paradigm, using curated stepwise reasoning demonstrations to enhance LLM's ability to reason and produce coherent rational pathways. To ensure the accuracy, reliability, and traceability of the generated answers, many studies have incorporated information retrieval (IR) to provide LLMs with external knowledge. However, existing CoT with IR methods decomposes questions into s
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Rozprawy doktorskie na temat "Natuaral language processing"

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Malik, Muhammad Imran. "BEWARE: A methodical approach to develop BEnign and MalWARE datasets." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2024. https://ro.ecu.edu.au/theses/2790.

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Cyber-Physical Systems (CPSes) are continually advancing in many Critical Infrastructure (CI) sectors, such as energy, healthcare, the military, and telecommunication. These systems are persistently targeted by nation-sponsored cyber criminal groups, who continuously refine their techniques and attack methods. Malicious software (malware) attacks are the most common of these tactics and can have severe consequences, as observed in the Stuxnet, BlackEnergy, Industroyer, and Triton attacks. A dataset consisting of validated benign and malware samples is a fundamental ingredient in developing sol
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Fröjd, Sofia. "Measuring the information content of Riksbank meeting minutes." Thesis, Umeå universitet, Institutionen för fysik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-158151.

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As the amount of information available on the internet has increased sharply in the last years, methods for measuring and comparing text-based information is gaining popularity on financial markets. Text mining and natural language processing has become an important tool for classifying large collections of texts or documents. One field of applications is topic modelling of the minutes from central banks' monetary policy meetings, which tend to be about topics such as"inflation", "economic growth" and "rates". The central bank of Sweden is the Riksbank, which hold 6 annual monetary policy meet
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Silvestre, Cerdà Joan Albert. "Different Contributions to Cost-Effective Transcription and Translation of Video Lectures." Doctoral thesis, Universitat Politècnica de València, 2016. http://hdl.handle.net/10251/62194.

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[EN] In recent years, on-line multimedia repositories have experiencied a strong growth that have made them consolidated as essential knowledge assets, especially in the area of education, where large repositories of video lectures have been built in order to complement or even replace traditional teaching methods. However, most of these video lectures are neither transcribed nor translated due to a lack of cost-effective solutions to do so in a way that gives accurate enough results. Solutions of this kind are clearly necessary in order to make these lectures accessible to speakers of differ
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Streszczenia konferencji na temat "Natuaral language processing"

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Li, Wentao. "Research on Transformer for Natual Language Processing." In 2022 2nd International Conference on Algorithms, High Performance Computing and Artificial Intelligence (AHPCAI). IEEE, 2022. http://dx.doi.org/10.1109/ahpcai57455.2022.10087672.

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