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JustLogic: A Comprehensive Benchmark for Evaluating Deductive Reasoning in Large Language Models
arXiv.orgLogical reasoning is a critical component of Large Language Models (LLMs), and substantial research efforts in recent years have aimed to enhance their deductive reasoning capabilities.
Michael Chen, Xikun Zhang, Dacheng Tao
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Strategic Deductive Reasoning in Large Language Models: A Dual-Agent Approach
2024 IEEE 6th International Conference on Power, Intelligent Computing and Systems (ICPICS)This study explores the enhancement of deductive reasoning capabilities in Large Language Models (LLMs) through a strategic dual-agent framework. In this framework, one agent acts as a questioner and another as an answerer, with both employing advanced ...
Siyue Li +4 more
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Audio Entailment: Assessing Deductive Reasoning for Audio Understanding
AAAI Conference on Artificial IntelligenceRecent literature uses language to build foundation models for audio. These Audio-Language Models (ALMs) are trained on a vast number of audio-text pairs and show remarkable performance in tasks including Text-to-Audio Retrieval, Captioning, and Question
Soham Deshmukh +6 more
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Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs
arXiv.orgReasoning encompasses two typical types: deductive reasoning and inductive reasoning. Despite extensive research into the reasoning capabilities of Large Language Models (LLMs), most studies have failed to rigorously differentiate between inductive and ...
Kewei Cheng +11 more
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Knowledge of Logical Generality and the Possibility of Deductive Reasoning
Inference and Consciousness, 2019I address a type of circularity threat that arises for the view that we employ general basic logical principles in deductive reasoning. This type of threat has been used to argue that whatever knowing such principles is, it cannot be a fully cognitive or
Corine Besson
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Deductive Beam Search: Decoding Deducible Rationale for Chain-of-Thought Reasoning
arXiv.orgRecent advancements have significantly augmented the reasoning capabilities of Large Language Models (LLMs) through various methodologies, especially chain-of-thought (CoT) reasoning.
Tinghui Zhu, Kai Zhang, Jian Xie, Yu Su
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The Role of Deductive and Inductive Reasoning in Large Language Models
Annual Meeting of the Association for Computational LinguisticsLarge Language Models (LLMs) have demonstrated impressive capabilities in reasoning tasks, yet their reliance on static prompt structures and limited adaptability to complex scenarios remains a significant challenge.
Chengkun Cai +7 more
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2007
The notion of rule concerning symbolic transformations bereft of any normative aspect is a common fundamental ingredient both of the presentation of any logical system and of the standard classical cognitive theory of the processing of mental representations.
GIARETTA, PIERDANIELE, CHERUBINI P.
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The notion of rule concerning symbolic transformations bereft of any normative aspect is a common fundamental ingredient both of the presentation of any logical system and of the standard classical cognitive theory of the processing of mental representations.
GIARETTA, PIERDANIELE, CHERUBINI P.
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Deductive and Deontic Reasoning
2018This chapter offers a concise and elementary introduction to fundamental concepts in deductive and deontic reasoning.
Rotolo, Antonino, Sartor, Giovanni
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Anatomy of deductive reasoning
Trends in Cognitive Sciences, 2007Much of cognitive research on deductive reasoning has been preoccupied with advocating for or against visuospatial (mental model theory) or linguistic/syntactic (mental logic theory) models of logical reasoning. Neuroimaging studies bear on this issue by pointing to both language-based and visuospatial systems being engaged during logical reasoning ...
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