:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhuang, Nan, Wang, Wenshuo, Qian, Lekai, Wang, Yuxiao, Cao, Boyu, Liu, Qi
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2512.03082
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

iTAG: Inverse Design for Natural Text Generation with Accurate Causal Graph Annotations
by: Wang, Wenshuo, et al.
Published: (2026)

Anchored Cyclic Generation: A Novel Paradigm for Long-Sequence Symbolic Music Generation
by: Cao, Boyu, et al.
Published: (2026)

Does Reasoning Introduce Bias? A Study of Social Bias Evaluation and Mitigation in LLM Reasoning
by: Wu, Xuyang, et al.
Published: (2025)

Steering LLM Thinking with Budget Guidance
by: Li, Junyan, et al.
Published: (2025)

Intermediate Languages Matter: Formal Choice Drives Neurosymbolic LLM Reasoning
by: Beiser, Alexander, et al.
Published: (2025)

Enhancing Generalization in Chain of Thought Reasoning for Smaller Models
by: Yin, Maxwell J., et al.
Published: (2025)

UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation
by: Zhou, Hanzhang, et al.
Published: (2024)

LKD-KGC: Domain-Specific KG Construction via LLM-driven Knowledge Dependency Parsing
by: Sun, Jiaqi, et al.
Published: (2025)

PRISM: Probing Reasoning, Instruction, and Source Memory in LLM Hallucinations
by: Wu, Yuhe, et al.
Published: (2026)

Emotional Support with LLM-based Empathetic Dialogue Generation
by: Wang, Shiquan, et al.
Published: (2025)

CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation
by: Ke, Pei, et al.
Published: (2023)

TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them
by: Wang, Yidong, et al.
Published: (2025)

Experiences Build Characters: The Linguistic Origins and Functional Impact of LLM Personality
by: Wang, Xi, et al.
Published: (2026)

Assessing Bias in Metric Models for LLM Open-Ended Generation Bias Benchmarks
by: Demchak, Nathaniel, et al.
Published: (2024)

On LLM-Based Scientific Inductive Reasoning Beyond Equations
by: Lin, Brian S., et al.
Published: (2025)

Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning
by: Qian, Chen, et al.
Published: (2025)

LLM Reasoning Is Latent, Not the Chain of Thought
by: Wang, Wenshuo
Published: (2026)

Automating the Generation of Prompts for LLM-based Action Choice in PDDL Planning
by: Stein, Katharina, et al.
Published: (2023)

SurveyEval: Towards Comprehensive Evaluation of LLM-Generated Academic Surveys
by: Zhao, Jiahao, et al.
Published: (2025)

More Thinking, More Bias: Length-Driven Position Bias in Reasoning Models
by: Wang, Xiao
Published: (2026)

Pragmatic Reasoning improves LLM Code Generation
by: Cao, Zhuchen, et al.
Published: (2025)

Differentiating Choices via Commonality for Multiple-Choice Question Answering
by: Deng, Wenqing, et al.
Published: (2024)

LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models
by: Gui, Jiayi, et al.
Published: (2024)

AgenticMath: Enhancing LLM Reasoning via Agentic-based Math Data Generation
by: Liu, Xianyang, et al.
Published: (2025)

LLM should think and action as a human
by: Leung, Haun, et al.
Published: (2025)

WorkForceAgent-R1: Incentivizing Reasoning Capability in LLM-based Web Agents via Reinforcement Learning
by: Zhuang, Yuchen, et al.
Published: (2025)

LegalChainReasoner: A Legal Chain-guided Framework for Criminal Judicial Opinion Generation
by: Shi, Weizhe, et al.
Published: (2025)

Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements
by: Qian, Yushan, et al.
Published: (2023)

Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning
by: Zhang, Kongcheng, et al.
Published: (2025)

Look Back to Reason Forward: Revisitable Memory for Long-Context LLM Agents
by: Shi, Yaorui, et al.
Published: (2025)

Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to Deliberation
by: Zhang, Zhiwei, et al.
Published: (2025)

Algorithmic Fragility and Persona Bias in LLM-Generated Autistic Communication
by: Rizvi, Naba, et al.
Published: (2026)

Vero: An Open RL Recipe for General Visual Reasoning
by: Sarch, Gabriel, et al.
Published: (2026)

Parallel LLM Reasoning for Bias-Resilient, Robust Conceptual Abstraction
by: Adeseye, Aisvarya, et al.
Published: (2026)

Balancing Rigor and Utility: Mitigating Cognitive Biases in Large Language Models for Multiple-Choice Questions
by: Zhong, Hanyang, et al.
Published: (2024)

Can We Trust a Black-box LLM? LLM Untrustworthy Boundary Detection via Bias-Diffusion and Multi-Agent Reinforcement Learning
by: Zhou, Xiaotian, et al.
Published: (2026)

BiasScope: Towards Automated Detection of Bias in LLM-as-a-Judge Evaluation
by: Lai, Peng, et al.
Published: (2026)

Exploring and Evaluating Multimodal Knowledge Reasoning Consistency of Multimodal Large Language Models
by: Jia, Boyu, et al.
Published: (2025)

LLM-MRD: LLM-Guided Multi-View Reasoning Distillation for Fake News Detection
by: Zhou, Weilin, et al.
Published: (2026)

Developing A Framework to Support Human Evaluation of Bias in Generated Free Response Text
by: Healey, Jennifer, et al.
Published: (2025)