Saved in:
| Main Authors: | Ma, Siyuan, Gao, Bo, Xiao, Zikai, Wang, Hailong, Yu, Xinlei, Qian, Rui, Qian, Jiayu, Gong, Luqi, Liu, Yang |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.28135 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Investigating CoT Monitorability in Large Reasoning Models
by: Yang, Shu, et al.
Published: (2025)
by: Yang, Shu, et al.
Published: (2025)
Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoning
by: Shao, Hao, et al.
Published: (2024)
by: Shao, Hao, et al.
Published: (2024)
ViRC: Enhancing Visual Interleaved Mathematical CoT with Reason Chunking
by: Wang, Lihong, et al.
Published: (2025)
by: Wang, Lihong, et al.
Published: (2025)
SurgBench: A Unified Large-Scale Benchmark for Surgical Video Analysis
by: Wei, Jianhui, et al.
Published: (2025)
by: Wei, Jianhui, et al.
Published: (2025)
CoT is Not the Chain of Truth: An Empirical Internal Analysis of Reasoning LLMs for Fake News Generation
by: Tong, Zhao, et al.
Published: (2026)
by: Tong, Zhao, et al.
Published: (2026)
Self-Verifying Reflection Helps Transformers with CoT Reasoning
by: Yu, Zhongwei, et al.
Published: (2025)
by: Yu, Zhongwei, et al.
Published: (2025)
Mitigating Posterior Salience Attenuation in Long-Context LLMs with Positional Contrastive Decoding
by: Xiao, Zikai, et al.
Published: (2025)
by: Xiao, Zikai, et al.
Published: (2025)
Empowering Lightweight MLLMs with Reasoning via Long CoT SFT
by: Ou, Linyu, et al.
Published: (2025)
by: Ou, Linyu, et al.
Published: (2025)
Adapting Like Humans: A Metacognitive Agent with Test-time Reasoning
by: Li, Yang, et al.
Published: (2025)
by: Li, Yang, et al.
Published: (2025)
Are Human Rules Necessary? Generating Reusable APIs with CoT Reasoning and In-Context Learning
by: Mai, Yubo, et al.
Published: (2024)
by: Mai, Yubo, et al.
Published: (2024)
Reconsidering Overthinking: Penalizing Internal and External Redundancy in CoT Reasoning
by: Hong, Jialiang, et al.
Published: (2025)
by: Hong, Jialiang, et al.
Published: (2025)
Exploring the Limitations of Mamba in COPY and CoT Reasoning
by: Ren, Ruifeng, et al.
Published: (2024)
by: Ren, Ruifeng, et al.
Published: (2024)
Context-CoT: Enhancing Context Learning via High-Quality Reasoning Synthesis
by: Jin, Hongbo, et al.
Published: (2026)
by: Jin, Hongbo, et al.
Published: (2026)
Dual-Track CoT: Budget-Aware Stepwise Guidance for Small LMs
by: Chatterjee, Sagnik, et al.
Published: (2026)
by: Chatterjee, Sagnik, et al.
Published: (2026)
Meta-CoT: Enhancing Granularity and Generalization in Image Editing
by: Zhang, Shiyi, et al.
Published: (2026)
by: Zhang, Shiyi, et al.
Published: (2026)
Hindsight Hint Distillation: Scaffolded Reasoning for SWE Agents from CoT-free Answers
by: Wang, Shengjie, et al.
Published: (2026)
by: Wang, Shengjie, et al.
Published: (2026)
TIBSTC-CoT: A Multi-Domain Instruction Dataset for Chain-of-Thought Reasoning in Language Models
by: Gao, Fan, et al.
Published: (2025)
by: Gao, Fan, et al.
Published: (2025)
CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process
by: Bi, Jinhe, et al.
Published: (2025)
by: Bi, Jinhe, et al.
Published: (2025)
CoT Vectors: Transferring and Probing the Reasoning Mechanisms of LLMs
by: Li, Li, et al.
Published: (2025)
by: Li, Li, et al.
Published: (2025)
Parrot: A Training Pipeline Enhances Both Program CoT and Natural Language CoT for Reasoning
by: Jin, Senjie, et al.
Published: (2025)
by: Jin, Senjie, et al.
Published: (2025)
From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step
by: Deng, Yuntian, et al.
Published: (2024)
by: Deng, Yuntian, et al.
Published: (2024)
Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization
by: Luo, Haotian, et al.
Published: (2025)
by: Luo, Haotian, et al.
Published: (2025)
ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL
by: Zhang, Yu, et al.
Published: (2025)
by: Zhang, Yu, et al.
Published: (2025)
Reasoning as an Attack Surface: Adaptive Evolutionary CoT Jailbreaks for LLMs
by: Li, Jianan, et al.
Published: (2026)
by: Li, Jianan, et al.
Published: (2026)
Divide-and-Conquer CoT: RL for Reducing Latency via Parallel Reasoning
by: Mahankali, Arvind, et al.
Published: (2026)
by: Mahankali, Arvind, et al.
Published: (2026)
Efficient Long CoT Reasoning in Small Language Models
by: Wang, Zhaoyang, et al.
Published: (2025)
by: Wang, Zhaoyang, et al.
Published: (2025)
LLM-CoT Enhanced Graph Neural Recommendation with Harmonized Group Policy Optimization
by: Luo, Hailong, et al.
Published: (2025)
by: Luo, Hailong, et al.
Published: (2025)
CoT-Seg: Rethinking Segmentation with Chain-of-Thought Reasoning and Self-Correction
by: Kao, Shiu-hong, et al.
Published: (2026)
by: Kao, Shiu-hong, et al.
Published: (2026)
Evaluating LLM Reasoning Beyond Correctness and CoT
by: Abbasloo, Soheil
Published: (2025)
by: Abbasloo, Soheil
Published: (2025)
CSMCIR: CoT-Enhanced Symmetric Alignment with Memory Bank for Composed Image Retrieval
by: Qian, Zhipeng, et al.
Published: (2026)
by: Qian, Zhipeng, et al.
Published: (2026)
PRISM-MCTS: Learning from Reasoning Trajectories with Metacognitive Reflection
by: Cheng, Siyuan, et al.
Published: (2026)
by: Cheng, Siyuan, et al.
Published: (2026)
Long or short CoT? Investigating Instance-level Switch of Large Reasoning Models
by: Zhang, Ruiqi, et al.
Published: (2025)
by: Zhang, Ruiqi, et al.
Published: (2025)
PRISM-Bench: A Benchmark of Puzzle-Based Visual Tasks with CoT Error Detection
by: Qian, Yusu, et al.
Published: (2025)
by: Qian, Yusu, et al.
Published: (2025)
How Likely Do LLMs with CoT Mimic Human Reasoning?
by: Bao, Guangsheng, et al.
Published: (2024)
by: Bao, Guangsheng, et al.
Published: (2024)
Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT Reasoning
by: Yang, Cehao, et al.
Published: (2025)
by: Yang, Cehao, et al.
Published: (2025)
V2T-CoT: From Vision to Text Chain-of-Thought for Medical Reasoning and Diagnosis
by: Wang, Yuan, et al.
Published: (2025)
by: Wang, Yuan, et al.
Published: (2025)
The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think
by: Lee, Seongyun, et al.
Published: (2025)
by: Lee, Seongyun, et al.
Published: (2025)
Beyond Meta-Reasoning: Metacognitive Consolidation for Self-Improving LLM Reasoning
by: Zhuang, Ziqing, et al.
Published: (2026)
by: Zhuang, Ziqing, et al.
Published: (2026)
Structural Anchors and Reasoning Fragility:Understanding CoT Robustness in LLM4Code
by: Liu, Yang, et al.
Published: (2026)
by: Liu, Yang, et al.
Published: (2026)
EgoThinker: Unveiling Egocentric Reasoning with Spatio-Temporal CoT
by: Pei, Baoqi, et al.
Published: (2025)
by: Pei, Baoqi, et al.
Published: (2025)
Similar Items
-
Investigating CoT Monitorability in Large Reasoning Models
by: Yang, Shu, et al.
Published: (2025) -
Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoning
by: Shao, Hao, et al.
Published: (2024) -
ViRC: Enhancing Visual Interleaved Mathematical CoT with Reason Chunking
by: Wang, Lihong, et al.
Published: (2025) -
SurgBench: A Unified Large-Scale Benchmark for Surgical Video Analysis
by: Wei, Jianhui, et al.
Published: (2025) -
CoT is Not the Chain of Truth: An Empirical Internal Analysis of Reasoning LLMs for Fake News Generation
by: Tong, Zhao, et al.
Published: (2026)