Increasing LLM Coding Capabilities through Diverse Synthetic Coding Tasks
Amal Abed, Ivan Lukic, Jörg K. H. Franke, Frank Hutter
机构
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University of Freiburg(弗赖堡大学)
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ELLIS Institute Tübingen(图宾根ELLIS研究所)
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Open-Sci Collective(开放科学集体)
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LAION
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Prior Labs(Prior实验室)
专题命中
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:LLM(title);large language model(abstract);language model(abstract);分类 cs.AI、cs.LG
CommentsPresented at the 39th Conference on Neural Information Processing Systems (NeurIPS 2025) Workshop: The 4th Deep Learning for Code Workshop (DL4C)
机构
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State Key Laboratory of Novel Software Technology, Nanjing University, China(新型软件技术国家重点实验室,南京大学,中国)
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Department of Computer Science, ETH Zurich, Switzerland(苏黎世联邦理工学院计算机科学系,瑞士)
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School of Intelligence Science and Technology, Nanjing University, China(智能科学与技术学院,南京大学,中国)
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School of Artifical Intelligence, Nanjing University, China(人工智能学院,南京大学,中国)
专题命中
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:LLM(title);large language model(abstract);language model(abstract);分类 cs.AI、cs.LG
机构
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Washington University in St. Louis(华盛顿大学圣路易斯分校)
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University of Illinois at Urbana-Champaign(伊利诺伊大学厄巴纳-香槟分校)
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Purdue University(普渡大学)
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University of Notre Dame(诺特丹大学)
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:LLM(title);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI
Investigating the interaction of linguistic and mathematical reasoning in language models using multilingual number puzzles
Antara Raaghavi Bhattacharya, Isabel Papadimitriou, Kathryn Davidson, David Alvarez-Melis
机构
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School of Engineering and Applied Sciences, Harvard University(哈佛大学工程与应用科学学院)
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Department of Linguistics, Harvard University(哈佛大学语言学系)
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Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University(哈佛大学凯普纳自然与人工智能研究 institute)
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:language model(title,abstract);large language model(abstract);分类 cs.CL、cs.AI
CWM: An Open-Weights LLM for Research on Code Generation with World Models
FAIR CodeGen team, Jade Copet, Quentin Carbonneaux, Gal Cohen, Jonas Gehring, Jacob Kahn, Jannik Kossen, Felix Kreuk, Emily McMilin, Michel Meyer, Yuxiang Wei, David Zhang, Kunhao Zheng, Jordi Armengol-Estapé, Pedram Bashiri, Maximilian Beck, Pierre Chambon, Abhishek Charnalia, Chris Cummins, Juliette Decugis, Zacharias V. Fisches, François Fleuret, Fabian Gloeckle, Alex Gu, Michael Hassid, Daniel Haziza, Badr Youbi Idrissi, Christian Keller, Rahul Kindi, Hugh Leather, Gallil Maimon, Aram Markosyan, Francisco Massa, Pierre-Emmanuel Mazaré, Vegard Mella, Naila Murray, Keyur Muzumdar, Peter O'Hearn, Matteo Pagliardini, Dmitrii Pedchenko, Tal Remez, Volker Seeker, Marco Selvi, Oren Sultan, Sida Wang, Luca Wehrstedt, Ori Yoran, Lingming Zhang, Taco Cohen, Yossi Adi, Gabriel Synnaeve
Improving LLM Reasoning through Interpretable Role-Playing Steering
Anyi Wang, Dong Shu, Yifan Wang, Yunpu Ma, Mengnan Du
机构
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Center for Information and Language Processing, LMU Munich(信息与语言处理中心,慕尼黑大学)
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Northwestern University(西北大学)
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Munich Center for Machine Learning (MCML)(慕尼黑机器学习中心(MCML))
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New Jersey Institute of Technology(新泽西理工学院)
专题命中
推理与问题求解
:LLM(title);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI