Results 251 to 260 of about 692,148 (292)

Legal Reasoning

2006
Legal reasoning has several aspects. On the one hand it is necessary to determine which rules can play a role in legal arguments, which rules are legal rules. The formal sources of law, such as legislation, treaties and case law, play a central role in this connection.
openaire   +3 more sources

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

arXiv.org
Recent advancements in reasoning with large language models (RLLMs), such as OpenAI-O1 and DeepSeek-R1, have demonstrated their impressive capabilities in complex domains like mathematics and coding.
Qiguang Chen, Libo Qin, Jinhao Liu, Dengyun Peng, Jiannan Guan, Peng Wang, Mengkang Hu, Yuhang Zhou, Te Gao, Wangxiang Che   +9 more
semanticscholar   +1 more source

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

Robotics
Recent generations of frontier language models have introduced Large Reasoning Models (LRMs) that generate detailed thinking processes before providing answers.
P. Shojaee, Iman Mirzadeh, Keivan Alizadeh-Vahid, Maxwell Horton, Samy Bengio, Mehrdad Farajtabar   +5 more
semanticscholar   +1 more source

LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL

arXiv.org
Enhancing reasoning in Large Multimodal Models (LMMs) faces unique challenges from the complex interplay between visual perception and logical reasoning, particularly in compact 3B-parameter architectures where architectural constraints limit reasoning ...
Yi Peng, Gongrui Zhang, Miaosen Zhang, Zhiyuan You, Jie Liu, Qipeng Zhu, Kai Yang, Xingzhong Xu, Xin Geng, Xu Yang   +9 more
semanticscholar   +1 more source

Reasons for Reasons

2023
Abstract Suppose Bob says, “I want to have reasons for what I do.” The skeptic replies, “But why do you want to have reasons?” Bob responds, “It’s just a brute fact about me. I want to have reasons for what I do.” The skeptic pounces: “But then you’re unreasonable.
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Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs

arXiv.org
Recent advancements in long chain-of-thought (CoT) reasoning, particularly through the Group Relative Policy Optimization algorithm used by DeepSeek-R1, have led to significant interest in the potential of Reinforcement Learning with Verifiable Rewards ...
Xumeng Wen, Zihan Liu, Shun Zheng, Zhijian Xu, Shengyu Ye, Zhirong Wu, Xiao Liang, Yang Wang, Junjie Li, Ziming Miao, Jiang Bian, Mao Yang   +11 more
semanticscholar   +1 more source

Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset

arXiv.org
Recent advancements in Large Multimodal Models (LMMs) have shown promising results in mathematical reasoning within visual contexts, with models approaching human-level performance on existing benchmarks such as MathVista. However, we observe significant
Ke Wang, Junting Pan, Weikang Shi, Zimu Lu, Mingjie Zhan, Hongsheng Li   +5 more
semanticscholar   +1 more source

Reason and Reasons

2001
Abstract Grice begins this chapter by discussing to what extent the notion of variable rationality can be derived from that of flat rationality, and thus from the concept of a rational being alone. He then draws a distinction between ‘explanatory’ (motivating) and ‘justificatory’ (normative) reasons, as well as ‘personal’ reasons that ...
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Giving reasons and given reasons

2021
Abstract Derek Parfit, as a leader of the ‘reasons-first’ movement, says that the concept of a reason is fundamental and indefinable. But his concept of a reason differs from most philosophers’. Most philosophers take a reason to be a fact, whereas Parfit says that reasons are given by facts, not that they are facts.
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Reason and Reasoning

2001
Abstract Grice deals with the nature of practical and non‐practical (‘alethic’) reasoning, particularly what may be called imperfect reasoning. It consists of ‘misreasoning’ (the misapplication of good principles of reasoning), ‘incomplete reasoning’ (formally invalid but nonetheless correct inferences due to a missing premise that is ...
openaire   +1 more source