:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yu, Qianjin, Wu, Keyu, Chen, Zihan, Zhang, Chushu, Mei, Manlin, Huang, Lingjun, Tan, Fang, Du, Yongsheng, Liu, Kunlin, Zhu, Yurui
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2504.11919
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TN-AutoRCA: Benchmark Construction and Agentic Framework for Self-Improving Alarm-Based Root Cause Analysis in Telecommunication Networks
by: Wu, Keyu, et al.
Published: (2025)

Are They All Good? Evaluating the Quality of CoTs in LLM-based Code Generation
by: Zhang, Binquan, et al.
Published: (2025)

Co-Sight: Enhancing LLM-Based Agents via Conflict-Aware Meta-Verification and Trustworthy Reasoning with Structured Facts
by: Zhang, Hongwei, et al.
Published: (2025)

Reasoning with OmniThought: A Large CoT Dataset with Verbosity and Cognitive Difficulty Annotations
by: Cai, Wenrui, et al.
Published: (2025)

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution
by: Wang, Yibo, et al.
Published: (2025)

DARE: Difficulty-Adaptive Reinforcement Learning with Co-Evolved Difficulty Estimation
by: Zhou, Yang, et al.
Published: (2026)

Context-CoT: Enhancing Context Learning via High-Quality Reasoning Synthesis
by: Jin, Hongbo, et al.
Published: (2026)

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length
by: Cheng, Junhang, et al.
Published: (2025)

SLAT: Segment-Level Adaptive Trimming for Efficient CoT Reasoning
by: Yao, Jian, et al.
Published: (2026)

Shorter Thoughts, Same Answers: Difficulty-Scaled Segment-Wise RL for CoT Compression
by: Tian, Ye, et al.
Published: (2026)

MARINE: Theoretical Optimization and Design for Multi-Agent Recursive IN-context Enhancement
by: Zhang, Hongwei, et al.
Published: (2025)

From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step
by: Deng, Yuntian, et al.
Published: (2024)

CoT-Seg: Rethinking Segmentation with Chain-of-Thought Reasoning and Self-Correction
by: Kao, Shiu-hong, et al.
Published: (2026)

The "Graded Difficulty" Library
by: Geeslin, Robert H.
Published: (1971)

Evaluating LLM Reasoning Beyond Correctness and CoT
by: Abbasloo, Soheil
Published: (2025)

Rethinking the Sampling Criteria in Reinforcement Learning for LLM Reasoning: A Competence-Difficulty Alignment Perspective
by: Kong, Deyang, et al.
Published: (2025)

LaV-CoT: Language-Aware Visual CoT with Multi-Aspect Reward Optimization for Real-World Multilingual VQA
by: Huang, Jing, et al.
Published: (2025)

MC-CoT: A Modular Collaborative CoT Framework for Zero-shot Medical-VQA with LLM and MLLM Integration
by: Wei, Lai, et al.
Published: (2024)

The Quest for Efficient Reasoning: A Data-Centric Benchmark to CoT Distillation
by: Zhang, Ruichen, et al.
Published: (2025)

On the Effectiveness of Microservices Tactics and Patterns to Reduce Energy Consumption: An Experimental Study on Trade-Offs
by: Xiao, Xingwen, et al.
Published: (2025)

On the Effectiveness of Proposed Techniques to Reduce Energy Consumption in RAG Systems: A Controlled Experiment
by: Guo, Zhinuan, et al.
Published: (2026)

Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization
by: Luo, Haotian, et al.
Published: (2025)

To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
by: Sprague, Zayne, et al.
Published: (2024)

Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning
by: Li, Jiachun, et al.
Published: (2024)

Step-CoT: Stepwise Visual Chain-of-Thought for Medical Visual Question Answering
by: Fan, Lin, et al.
Published: (2026)

D-SCoRE: Document-Centric Segmentation and CoT Reasoning with Structured Export for QA-CoT Data Generation
by: Zhou, Weibo, et al.
Published: (2025)

Reasoning as an Attack Surface: Adaptive Evolutionary CoT Jailbreaks for LLMs
by: Li, Jianan, et al.
Published: (2026)

Rethinking Reasoning in LLMs: Neuro-Symbolic Local RetoMaton Beyond ICL and CoT
by: Mamidala, Rushitha Santhoshi, et al.
Published: (2025)

RankLLM: Weighted Ranking of LLMs by Quantifying Question Difficulty
by: Zhang, Ziqian, et al.
Published: (2026)

DeepDistill: Enhancing LLM Reasoning Capabilities via Large-Scale Difficulty-Graded Data Training
by: Tian, Xiaoyu, et al.
Published: (2025)

Embodied CoT Distillation From LLM To Off-the-shelf Agents
by: Choi, Wonje, et al.
Published: (2024)

Syzygy of Thoughts: Improving LLM CoT with the Minimal Free Resolution
by: Li, Chenghao, et al.
Published: (2025)

CoT-Valve: Length-Compressible Chain-of-Thought Tuning
by: Ma, Xinyin, et al.
Published: (2025)

RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering
by: Zhang, Zihan, et al.
Published: (2024)

Data Shifts Hurt CoT: A Theoretical Study
by: Yin, Lang, et al.
Published: (2025)

MM-PhyQA: Multimodal Physics Question-Answering With Multi-Image CoT Prompting
by: Anand, Avinash, et al.
Published: (2024)

$π$-CoT: Prolog-Initialized Chain-of-Thought Prompting for Multi-Hop Question-Answering
by: Wan, Chao, et al.
Published: (2025)

Diffusion-Denoised Hyperspectral Gaussian Splatting
by: Narayanan, Sunil Kumar, et al.
Published: (2025)

Self-Verifying Reflection Helps Transformers with CoT Reasoning
by: Yu, Zhongwei, et al.
Published: (2025)

Estimating LLM Grading Ability and Response Difficulty in Automatic Short Answer Grading via Item Response Theory
by: Cong, Longwei, et al.
Published: (2026)