Results 231 to 240 of about 692,148 (292)
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LIMO: Less is More for Reasoning
arXiv.orgWe challenge the prevailing assumption that complex reasoning in large language models (LLMs) necessitates massive training data. We demonstrate that sophisticated mathematical reasoning can emerge with only a few examples.
Yixin Ye +5 more
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IS REASONABLE DOUBT REASONABLE?
Legal Theory, 2003It is difficult, if not impossible, to so define the term “reasonable doubt” as to satisfy a subtle and metaphysical mind, bent on the detection of some point, however attenuated, upon which to hang a criticism. —Supreme Court of VirginiaMcCue v. Commonwealth, 103 Va.
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Search-o1: Agentic Search-Enhanced Large Reasoning Models
Conference on Empirical Methods in Natural Language ProcessingLarge reasoning models (LRMs) like OpenAI-o1 have demonstrated impressive long stepwise reasoning capabilities through large-scale reinforcement learning.
Xiaoxi Li +7 more
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Reasoning with Exploration: An Entropy Perspective
AAAI Conference on Artificial IntelligenceBalancing exploration and exploitation is a central goal in reinforcement learning (RL). Despite recent advances in enhancing language model (LM) reasoning, most methods lean toward exploitation, and increasingly encounter performance plateaus.
Daixuan Cheng +6 more
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Philotheos, 2018
This article is published as Vuckovic, M. (2018). Reason’s Reasons: First Principles in the Second-Century Pagan Apologetic. Philotheos, 18(2), 208-232. https://doi.org/10.5840/philotheos201818216. ; The 2-c debate between the Greek Apologists and the pagan Graeco-Roman tradition is multifaceted and complex.
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This article is published as Vuckovic, M. (2018). Reason’s Reasons: First Principles in the Second-Century Pagan Apologetic. Philotheos, 18(2), 208-232. https://doi.org/10.5840/philotheos201818216. ; The 2-c debate between the Greek Apologists and the pagan Graeco-Roman tradition is multifaceted and complex.
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WIREs Cognitive Science, 1999
AbstractThis article begins with an account of logic, and of how logicians formulate formal rules of inference for the sentential calculus, which hinges on analogs of negation and the connectivesif, or, andand. It considers the various ways in which computer scientists have written programs to prove the validity of inferences in this and other domains.
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AbstractThis article begins with an account of logic, and of how logicians formulate formal rules of inference for the sentential calculus, which hinges on analogs of negation and the connectivesif, or, andand. It considers the various ways in which computer scientists have written programs to prove the validity of inferences in this and other domains.
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Contemporary Psychology: A Journal of Reviews, 1996
Several varieties of metareasoning are discussed. The prototypical case is argument analysis, namely the interpretation and/or evaluation of arguments. A second special case is self-reflective argumentation. A third case is methodological reflection, namely the formulation, interpretation, evaluation, and application of methodological principles; these
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Several varieties of metareasoning are discussed. The prototypical case is argument analysis, namely the interpretation and/or evaluation of arguments. A second special case is self-reflective argumentation. A third case is methodological reflection, namely the formulation, interpretation, evaluation, and application of methodological principles; these
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O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning
arXiv.orgRecently, long-thought reasoning LLMs, such as OpenAI's O1, adopt extended reasoning processes similar to how humans ponder over complex problems. This reasoning paradigm significantly enhances the model's problem-solving abilities and has achieved ...
Haotian Luo +8 more
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Reasons, practical reason, and practical reasoning
Ratio, 2004AbstractThe concepts of reasons as supporting elements, of practical reason as a capacity, and of practical reasoning as a process are central in the theory of action. This paper provides a brief account of each. Several kinds of reason for action are distinguished.
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Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning
arXiv.orgChain-of-thought reasoning has significantly improved the performance of Large Language Models (LLMs) across various domains. However, this reasoning process has been confined exclusively to textual space, limiting its effectiveness in visually intensive
Alex Su +4 more
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