Copertina

The Role of Deductive and Inductive Reasoning in Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Cai, Chengkun, Zhao, Xu, Liu, Haoliang, Jiang, Zhongyu, Zhang, Tianfang, Wu, Zongkai, Hwang, Jenq-Neng, Li, Lei
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence Computation and Language Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Bayesian Optimization for Controlled Image Editing via LLMs
di: Cai, Chengkun, et al.
Pubblicazione: (2025)

$T^2$ of Thoughts: Temperature Tree Elicits Reasoning in Large Language Models
di: Cai, Chengkun, et al.
Pubblicazione: (2024)

Human Motion Instruction Tuning
di: Li, Lei, et al.
Pubblicazione: (2024)

Causal Reasoning Elicits Controllable 3D Scene Generation
di: Chen, Shen, et al.
Pubblicazione: (2025)

Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models
di: Abdaljalil, Samir, et al.
Pubblicazione: (2025)

Investigating the Robustness of Deductive Reasoning with Large Language Models
di: Hoppe, Fabian, et al.
Pubblicazione: (2025)

Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues
di: Ou, Jiao, et al.
Pubblicazione: (2024)

Modeling LLM Agent Reviewer Dynamics in Elo-Ranked Review System
di: Huang, Hsiang-Wei, et al.
Pubblicazione: (2026)

Graph Canvas for Controllable 3D Scene Generation
di: Liu, Libin, et al.
Pubblicazione: (2024)

Inductive Linguistic Reasoning with Large Language Models
di: Ramji, Raghav, et al.
Pubblicazione: (2024)

A Survey of Inductive Reasoning for Large Language Models
di: Chen, Kedi, et al.
Pubblicazione: (2025)

Hypothesis Testing Prompting Improves Deductive Reasoning in Large Language Models
di: Li, Yitian, et al.
Pubblicazione: (2024)

Comparing Inferential Strategies of Humans and Large Language Models in Deductive Reasoning
di: Mondorf, Philipp, et al.
Pubblicazione: (2024)

Language Models as Inductive Reasoners
di: Yang, Zonglin, et al.
Pubblicazione: (2022)

On the Role of Model Prior in Real-World Inductive Reasoning
di: Liu, Zhuo, et al.
Pubblicazione: (2024)

E2CAR: An Efficient 2D-CNN Framework for Real-Time EEG Artifact Removal on Edge Devices
di: Liu, Haoliang, et al.
Pubblicazione: (2026)

ItD: Large Language Models Can Teach Themselves Induction through Deduction
di: Sun, Wangtao, et al.
Pubblicazione: (2024)

Toward Mechanistic Explanation of Deductive Reasoning in Language Models
di: Maltoni, Davide, et al.
Pubblicazione: (2025)

ScalingGaussian: Enhancing 3D Content Creation with Generative Gaussian Splatting
di: Chen, Shen, et al.
Pubblicazione: (2024)

MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models
di: Li, Jiachun, et al.
Pubblicazione: (2024)

Knowledge Reasoning Language Model: Unifying Knowledge and Language for Inductive Knowledge Graph Reasoning
di: Zhuo, Xingrui, et al.
Pubblicazione: (2025)

Exploring the Reversal Curse and Other Deductive Logical Reasoning in BERT and GPT-Based Large Language Models
di: Wu, Da, et al.
Pubblicazione: (2023)

Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs
di: Cheng, Kewei, et al.
Pubblicazione: (2024)

Hypothesis Search: Inductive Reasoning with Language Models
di: Wang, Ruocheng, et al.
Pubblicazione: (2023)

IDEA: Enhancing the Rule Learning Ability of Large Language Model Agent through Induction, Deduction, and Abduction
di: He, Kaiyu, et al.
Pubblicazione: (2024)

Reasoning Can Hurt the Inductive Abilities of Large Language Models
di: Jin, Haibo, et al.
Pubblicazione: (2025)

Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement
di: Qiu, Linlu, et al.
Pubblicazione: (2023)

Revealing Algorithmic Deductive Circuits for Logical Reasoning
di: Nguyen, Phuong Minh, et al.
Pubblicazione: (2026)

Do Large Language Models Excel in Complex Logical Reasoning with Formal Language?
di: Jiang, Jin, et al.
Pubblicazione: (2025)

JustLogic: A Comprehensive Benchmark for Evaluating Deductive Reasoning in Large Language Models
di: Chen, Michael K., et al.
Pubblicazione: (2025)

Dynamic Thinking-Token Selection for Efficient Reasoning in Large Reasoning Models
di: Guo, Zhenyuan, et al.
Pubblicazione: (2026)

The Sword, Shield, and Achilles' Heel: Characterizing the Linguistic Inductive Bias of Large Language Models for Spatial Reasoning in Navigation Planning
di: Zhang, Xudong, et al.
Pubblicazione: (2026)

LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning
di: Li, Jiachun, et al.
Pubblicazione: (2024)

Do Language Models Follow Occam's Razor? An Evaluation of Parsimony in Inductive and Abductive Reasoning
di: Sun, Yunxin, et al.
Pubblicazione: (2025)

Who Reasons in the Large Language Models?
di: Shao, Jie, et al.
Pubblicazione: (2025)

Route-and-Reason: Scaling Large Language Model Reasoning with Reinforced Model Router
di: Shao, Chenyang, et al.
Pubblicazione: (2025)

Interpretable Multimodal Misinformation Detection with Logic Reasoning
di: Liu, Hui, et al.
Pubblicazione: (2023)

FLEKE: Federated Locate-then-Edit Knowledge Editing
di: Zhao, Zongkai, et al.
Pubblicazione: (2025)

NUMCoT: Numerals and Units of Measurement in Chain-of-Thought Reasoning using Large Language Models
di: Xu, Ancheng, et al.
Pubblicazione: (2024)

S^3cMath: Spontaneous Step-level Self-correction Makes Large Language Models Better Mathematical Reasoners
di: Yan, Yuchen, et al.
Pubblicazione: (2024)