arXiv:2507.11687v1 Announce Type: cross Abstract: Large Language Models, though successful in code generation, struggle with code quality analysis because they...
Read moreDetailsView a PDF of the paper titled Protecting Copyrighted Material with Unique Identifiers in Large Language Model Training, by Shuai...
Read moreDetailsarXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals...
Read moreDetailsView a PDF of the paper titled Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools, by...
Read moreDetailsAuthors:Maiya Goloburda, Nurkhan Laiyk, Diana Turmakhan, Yuxia Wang, Mukhammed Togmanov, Jonibek Mansurov, Askhat Sametov, Nurdaulet Mukhituly, Minghan Wang, Daniil Orel,...
Read moreDetailsarXiv:2507.08013v1 Announce Type: new Abstract: Recent advances in natural language processing (NLP) have been driven bypretrained language models like BERT,...
Read moreDetailsarXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals...
Read moreDetailsarXiv:2507.07188v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly used as proxies for human subjects in social science...
Read moreDetailsAuthors:Maciej Besta, Lorenzo Paleari, Jia Hao Andrea Jiang, Robert Gerstenberger, You Wu, Jón Gunnar Hannesson, Patrick Iff, Ales Kubicek, Piotr...
Read moreDetailsarXiv:2507.06968v1 Announce Type: cross Abstract: Instruction tuning has become a foundation for unlocking the capabilities of large-scale pretrained models and...
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