Cover Image

Policy Frameworks for Transparent Chain-of-Thought Reasoning in Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Yihang, Deng, Haikang, Han, Kaiqiao, Zhao, Qingyue
Format:	Preprint
Published:	2025
Subjects:	Computers and Society Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cognitive Chain-of-Thought (CoCoT): Structured Multimodal Reasoning about Social Situations
by: Park, Eunkyu, et al.
Published: (2025)

CoAT: Chain-of-Associated-Thoughts Framework for Enhancing Large Language Models Reasoning
by: Pan, Jianfeng, et al.
Published: (2025)

Dual Traits in Probabilistic Reasoning of Large Language Models
by: Li, Shenxiong, et al.
Published: (2024)

Injecting Salesperson's Dialogue Strategies in Large Language Models with Chain-of-Thought Reasoning
by: Chang, Wen-Yu, et al.
Published: (2024)

Concept-Reversed Winograd Schema Challenge: Evaluating and Improving Robust Reasoning in Large Language Models via Abstraction
by: Han, Kaiqiao, et al.
Published: (2024)

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models
by: Chen, Qiguang, et al.
Published: (2025)

Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models
by: Ye, Jiacheng, et al.
Published: (2024)

Expediting and Elevating Large Language Model Reasoning via Hidden Chain-of-Thought Decoding
by: Liu, Tianqiao, et al.
Published: (2024)

Multimodal Chain-of-Thought Reasoning in Language Models
by: Zhang, Zhuosheng, et al.
Published: (2023)

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models
by: Alsagheer, Dana, et al.
Published: (2025)

JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models
by: Wang, Ze, et al.
Published: (2024)

Reasoning Beyond Chain-of-Thought: A Latent Computational Mode in Large Language Models
by: He, Zhenghao, et al.
Published: (2026)

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

COFT: Counterfactual-Conformal Decoding for Fair Chain-of-Thought Reasoning in Large Language Models
by: Fayyazi, Arya, et al.
Published: (2026)

Large Language Models for Medicine: A Survey
by: Zheng, Yanxin, et al.
Published: (2024)

Narrative over Numbers: The Identifiable Victim Effect and its Amplification Under Alignment and Reasoning in Large Language Models
by: Raiyan, Syed Rifat
Published: (2026)

SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities
by: Jiang, Fengqing, et al.
Published: (2025)

PersLLM: A Personified Training Approach for Large Language Models
by: Zeng, Zheni, et al.
Published: (2024)

On the Creativity of Large Language Models
by: Franceschelli, Giorgio, et al.
Published: (2023)

Language Models and Logic Programs for Trustworthy Tax Reasoning
by: Jurayj, William, et al.
Published: (2025)

Enhancing Depression Detection with Chain-of-Thought Prompting: From Emotion to Reasoning Using Large Language Models
by: Teng, Shiyu, et al.
Published: (2025)

Interpreting Public Sentiment in Diplomacy Events: A Counterfactual Analysis Framework Using Large Language Models
by: Ouyang, Leyi
Published: (2025)

Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought
by: Lee, Jooyoung, et al.
Published: (2024)

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
by: Cui, Yingqian, et al.
Published: (2025)

Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing
by: Jiang, Han, et al.
Published: (2024)

Building Trust: Foundations of Security, Safety and Transparency in AI
by: Sidhpurwala, Huzaifa, et al.
Published: (2024)

Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic
by: Zhao, Xufeng, et al.
Published: (2023)

Cross-Language Bias Examination in Large Language Models
by: Liang, Yuxuan, et al.
Published: (2025)

Detection and Mitigation of Hallucination in Large Reasoning Models: A Mechanistic Perspective
by: Sun, Zhongxiang, et al.
Published: (2025)

Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models
by: Yan, Shaotian, et al.
Published: (2025)

The global landscape of academic guidelines for generative AI and Large Language Models
by: Jiao, Junfeng, et al.
Published: (2024)

Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language Models
by: Zou, Anni, et al.
Published: (2023)

Can Large Language Models Simulate Human Responses? A Case Study of Stated Preference Experiments in the Context of Heating-related Choices
by: Wang, Han, et al.
Published: (2025)

Training-Free Cultural Alignment of Large Language Models via Persona Disagreement
by: Kiet, Huynh Trung, et al.
Published: (2026)

GLARE: Agentic Reasoning for Legal Judgment Prediction
by: Yang, Xinyu, et al.
Published: (2025)

Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
by: Sun, Jiashuo, et al.
Published: (2023)

Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models
by: Dahl, Matthew, et al.
Published: (2024)

Evaluating Large Language Models for Detecting Antisemitism
by: Patel, Jay, et al.
Published: (2025)

How Large Language Models are Designed to Hallucinate
by: Ackermann, Richard, et al.
Published: (2025)

Anticipating Innovation Using Large Language Models
by: Fenoaltea, Enrico Maria, et al.
Published: (2026)