Large Language Models Imitate Logical Reasoning, but at what Cost?
Lachlan McGinness, Peter Baumgartner
机构
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Australian National University(澳大利亚国立大学)
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Data61|CSIRO
专题命中
推理与问题求解
:large language model(title,abstract);language model(title,abstract);prompting(abstract);分类 cs.AI
CommentsThis work has been accepted as a main track paper for publication in the proceedings of the Australasian Joint Conference on Artificial Intelligence 2025 held in Canberra, Australia
Metacognitive Reuse: Turning Recurring LLM Reasoning Into Concise Behaviors
Aniket Didolkar, Nicolas Ballas, Sanjeev Arora, Anirudh Goyal
机构
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Meta
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Mila-Quebec AI Institute, University of Montreal(魁北克AI研究所,蒙特利尔大学)
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Princeton University(普林斯顿大学)
;
Mila--Quebec AI Institute, Université de Montréal(魁北克AI研究所,蒙特利尔大学)
专题命中
推理与问题求解
:LLM(title,abstract);large language model(abstract);language model(abstract);SFT(abstract)
Empowering LLMs with Parameterized Skills for Adversarial Long-Horizon Planning
Sijia Cui, Shuai Xu, Aiyao He, Yanna Wang, Bo Xu
机构
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1 Institute of Automation, Chinese Academy of Sciences, Beijing, China
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2 School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
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3 Nanjing Artificial Intelligence Research of IA, Nanjing, China
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4 University of Chinese Academy of Sciences,Nanjing, Nanjing, China
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5 Nanjing University of Information Science \& Technology, Nanjing, China
专题命中
推理与问题求解
:LLM(abstract);large language model(abstract);language model(abstract);分类 cs.CL