Cover Image

EntroCoT: Enhancing Chain-of-Thought via Adaptive Entropy-Guided Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Zihang, Wang, Yuhang, Zong, Yikun, Yu, Wenhan, Yuan, Xiaokun, Jiang, Runhan, Liu, Zirui, Yang, Tong, Jiang, Arthur
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

EntroCut: Entropy-Guided Adaptive Truncation for Efficient Chain-of-Thought Reasoning in Small-scale Large Reasoning Models
by: Yan, Hongxi, et al.
Published: (2026)

Bridge-RAG: An Abstract Bridge Tree Based Retrieval Augmented Generation Algorithm
by: Li, Zihang, et al.
Published: (2026)

EntroAD: Structural Entropy-Guided Prompt Adaptation for Zero-Shot Anomaly Detection
by: Zhao, Xinyu, et al.
Published: (2026)

RecCoT: Enhancing Recommendation via Chain-of-Thought
by: Yang, Shuo, et al.
Published: (2025)

EntroLnn: Entropy-Guided Liquid Neural Networks for Operando Refinement of Battery Capacity Fade Trajectories
by: Li, Wei, et al.
Published: (2026)

SIM-CoT: Supervised Implicit Chain-of-Thought
by: Wei, Xilin, et al.
Published: (2025)

EntroPIC: Towards Stable Long-Term Training of LLMs via Entropy Stabilization with Proportional-Integral Control
by: Yang, Kai, et al.
Published: (2025)

Microscopic Origin of the Entropy of Single-sided Black Holes
by: Geng, Hao, et al.
Published: (2024)

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning
by: Song, Jeonghyo, et al.
Published: (2025)

CogSR: Semantic-Aware Speech Super-Resolution via Chain-of-Thought Guided Flow Matching
by: Yuan, Jiajun, et al.
Published: (2025)

CoMT: Chain-of-Medical-Thought Reduces Hallucination in Medical Report Generation
by: Jiang, Yue, et al.
Published: (2024)

ExpThink: Experience-Guided Reinforcement Learning for Adaptive Chain-of-Thought Compression
by: Bian, Tingcheng, et al.
Published: (2026)

CoT-RVS: Zero-Shot Chain-of-Thought Reasoning Segmentation for Videos
by: Kao, Shiu-hong, et al.
Published: (2025)

HESTIA: A Hessian-Guided Differentiable Quantization-Aware Training Framework for Extremely Low-Bit LLMs
by: Wang, Guoan, et al.
Published: (2026)

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

AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning
by: Lou, Chenwei, et al.
Published: (2025)

SCOUT: Teaching Pre-trained Language Models to Enhance Reasoning via Flow Chain-of-Thought
by: Li, Guanghao, et al.
Published: (2025)

Unreal Thinking: Chain-of-Thought Hijacking via Two-stage Backdoor
by: Chang, Wenhan, et al.
Published: (2026)

Logit-Entropy Adaptive Stopping Heuristic for Efficient Chain-of-Thought Reasoning
by: Quamar, Mohammad Atif, et al.
Published: (2025)

MedCoT: Medical Chain of Thought via Hierarchical Expert
by: Liu, Jiaxiang, et al.
Published: (2024)

Uncertainty-Guided Chain-of-Thought for Code Generation with LLMs
by: Zhu, Yuqi, et al.
Published: (2025)

The Curse of CoT: On the Limitations of Chain-of-Thought in In-Context Learning
by: Zheng, Tianshi, et al.
Published: (2025)

EntroLLM: Entropy Encoded Weight Compression for Efficient Large Language Model Inference on Edge Devices
by: Sanyal, Arnab, et al.
Published: (2025)

ETR: Entropy Trend Reward for Efficient Chain-of-Thought Reasoning
by: Xiong, Xuan, et al.
Published: (2026)

SCoTER: Structured Chain-of-Thought Transfer for Enhanced Recommendation
by: Jiang, Jie, et al.
Published: (2025)

AdapSNE: Adaptive Fireworks-Optimized and Entropy-Guided Dataset Sampling for Edge DNN Training
by: Zhao, Boran, et al.
Published: (2025)

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

Rex-Thinker: Grounded Object Referring via Chain-of-Thought Reasoning
by: Jiang, Qing, et al.
Published: (2025)

ImageGen-CoT: Enhancing Text-to-Image In-context Learning with Chain-of-Thought Reasoning
by: Liao, Jiaqi, et al.
Published: (2025)

Bootstrapping Grounded Chain-of-Thought in Multimodal LLMs for Data-Efficient Model Adaptation
by: Xia, Jiaer, et al.
Published: (2025)

SAGE: Accelerating Vision-Language Models via Entropy-Guided Adaptive Speculative Decoding
by: Tong, Yujia, et al.
Published: (2026)

Slow Tuning and Low-Entropy Masking for Safe Chain-of-Thought Distillation
by: Ma, Ziyang, et al.
Published: (2025)

Enhancing Emotional Generation Capability of Large Language Models via Emotional Chain-of-Thought
by: Li, Zaijing, et al.
Published: (2024)

Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL
by: Yao, Jiarui, et al.
Published: (2025)

EndoCoT: Scaling Endogenous Chain-of-Thought Reasoning in Diffusion Models
by: Dai, Xuanlang, et al.
Published: (2026)

Think When You Need: Self-Adaptive Chain-of-Thought Learning
by: Yang, Junjie, et al.
Published: (2025)

Enhancing Zero-shot Chain of Thought Prompting via Uncertainty-Guided Strategy Selection
by: Kumar, Shanu, et al.
Published: (2024)

Benchmarking Multi-Step Legal Reasoning and Analyzing Chain-of-Thought Effects in Large Language Models
by: Yu, Wenhan, et al.
Published: (2025)

StreamingCoT: A Dataset for Temporal Dynamics and Multimodal Chain-of-Thought Reasoning in Streaming VideoQA
by: Hu, Yuhang, et al.
Published: (2025)

CoPRS: Learning Positional Prior from Chain-of-Thought for Reasoning Segmentation
by: Lu, Zhenyu, et al.
Published: (2025)