:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Futing, Yan, Jianhao, Luo, Yun, Cui, Ganqu, Wang, Zhi, Qu, Xiaoye, Zhang, Yue, Cheng, Yu, Lin, Tao
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2602.11748
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning to Reason under Off-Policy Guidance
by: Yan, Jianhao, et al.
Published: (2025)

ELICIT: LLM Augmentation via External In-Context Capability
by: Wang, Futing, et al.
Published: (2024)

Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning
by: Yang, Wang, et al.
Published: (2025)

Keys to Robust Edits: from Theoretical Insights to Practical Advances
by: Yan, Jianhao, et al.
Published: (2024)

Diversity-Incentivized Exploration for Versatile Reasoning
by: Hu, Zican, et al.
Published: (2025)

Potential and Challenges of Model Editing for Social Debiasing
by: Yan, Jianhao, et al.
Published: (2024)

Thinking Deeper, Not Longer: Depth-Recurrent Transformers for Compositional Generalization
by: Chen, Hung-Hsuan
Published: (2026)

Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning
by: Hu, Zican, et al.
Published: (2025)

OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning
by: Su, Zhaochen, et al.
Published: (2025)

Thinking with Deltas: Incentivizing Reinforcement Learning via Differential Visual Reasoning Policy
by: Gao, Shujian, et al.
Published: (2026)

Spotlight on Token Perception for Multimodal Reinforcement Learning
by: Huang, Siyuan, et al.
Published: (2025)

FrameThinker: Learning to Think with Long Videos via Multi-Turn Frame Spotlighting
by: He, Zefeng, et al.
Published: (2025)

Deeper Learning, Dialogic Learning, and Critical Thinking
Published: (2025)

Do Thinking Tokens Help or Trap? Towards More Efficient Large Reasoning Model
by: Ding, Bowen, et al.
Published: (2025)

DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning
by: Zheng, Ziwei, et al.
Published: (2025)

EFRame: Deeper Reasoning via Exploration-Filter-Replay Reinforcement Learning Framework
by: Wang, Chen, et al.
Published: (2025)

J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning
by: Whitehouse, Chenxi, et al.
Published: (2025)

SATORI-R1: Incentivizing Multimodal Reasoning through Explicit Visual Anchoring
by: Shen, Chuming, et al.
Published: (2025)

Draft-OPD: On-Policy Distillation for Speculative Draft Models
by: Lei, Haodi, et al.
Published: (2026)

RefuteBench 2.0 -- Agentic Benchmark for Dynamic Evaluation of LLM Responses to Refutation Instruction
by: Yan, Jianhao, et al.
Published: (2025)

RefuteBench: Evaluating Refuting Instruction-Following for Large Language Models
by: Yan, Jianhao, et al.
Published: (2024)

Do Agents Think Deeper? A Mechanistic Investigation of Layer-Wise Dynamics in Sequential Planning
by: Cui, Zhenyu, et al.
Published: (2026)

THREAD: Thinking Deeper with Recursive Spawning
by: Schroeder, Philip, et al.
Published: (2024)

AdaThinkDrive: Adaptive Thinking via Reinforcement Learning for Autonomous Driving
by: Luo, Yuechen, et al.
Published: (2025)

Exploring the Robustness of In-Context Learning with Noisy Labels
by: Cheng, Chen, et al.
Published: (2024)

VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning
by: Wang, Haozhe, et al.
Published: (2025)

SCI-Verifier: Scientific Verifier with Thinking
by: Zheng, Shenghe, et al.
Published: (2025)

DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token via Reinforcement Learning
by: Liu, Shih-Yang, et al.
Published: (2025)

VideoSSR: Video Self-Supervised Reinforcement Learning
by: He, Zefeng, et al.
Published: (2025)

Think or Not? Selective Reasoning via Reinforcement Learning for Vision-Language Models
by: Wang, Jiaqi, et al.
Published: (2025)

Deeper Insights into Learning Performance of Stochastic Configuration Networks
by: Yan, Xiufeng, et al.
Published: (2024)

NFT: Bridging Supervised Learning and Reinforcement Learning in Math Reasoning
by: Chen, Huayu, et al.
Published: (2025)

Understanding In-Context Learning from Repetitions
by: Yan, Jianhao, et al.
Published: (2023)

Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning
by: Yin, Qingyu, et al.
Published: (2024)

Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning
by: Cheng, Qianjia, et al.
Published: (2026)

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models
by: An, Sohyun, et al.
Published: (2025)

Evolving Deeper LLM Thinking
by: Lee, Kuang-Huei, et al.
Published: (2025)

Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning
by: Chen, Shuang, et al.
Published: (2025)

P1: Mastering Physics Olympiads with Reinforcement Learning
by: Chen, Jiacheng, et al.
Published: (2025)

Reinforcement Learning for Adaptive Resource Scheduling in Complex System Environments
by: Li, Pochun, et al.
Published: (2024)