Saved in:
| Main Authors: | Yu, Jiachen, Xu, Zhihao, Wang, Junjie, Yang, Yujiu |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.07461 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Internalize the Temperature: On-Policy Self-Distillation as Policy Reheater for Reinforcement Learning
by: Yang, Xuewei, et al.
Published: (2026)
by: Yang, Xuewei, et al.
Published: (2026)
S2J: Bridging the Gap Between Solving and Judging Ability in Generative Reward Models
by: Sun, Shaoning, et al.
Published: (2025)
by: Sun, Shaoning, et al.
Published: (2025)
CoWork-X: Experience-Optimized Co-Evolution for Multi-Agent Collaboration System
by: Lin, Zexin, et al.
Published: (2026)
by: Lin, Zexin, et al.
Published: (2026)
OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment
by: Liu, Tianci, et al.
Published: (2025)
by: Liu, Tianci, et al.
Published: (2025)
RuCL: Stratified Rubric-Based Curriculum Learning for Multimodal Large Language Model Reasoning
by: Chen, Yukun, et al.
Published: (2026)
by: Chen, Yukun, et al.
Published: (2026)
Solving Math Word Problems via Cooperative Reasoning induced Language Models
by: Zhu, Xinyu, et al.
Published: (2022)
by: Zhu, Xinyu, et al.
Published: (2022)
Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning
by: Gan, Zeyu, et al.
Published: (2025)
by: Gan, Zeyu, et al.
Published: (2025)
AutoRubric: Rubric-Based Generative Rewards for Faithful Multimodal Reasoning
by: Jia, Mengzhao, et al.
Published: (2025)
by: Jia, Mengzhao, et al.
Published: (2025)
TwT: Thinking without Tokens by Habitual Reasoning Distillation with Multi-Teachers' Guidance
by: Xu, Jingxian, et al.
Published: (2025)
by: Xu, Jingxian, et al.
Published: (2025)
Evaluating Legal Reasoning Traces with Legal Issue Tree Rubrics
by: Lee, Jinu, et al.
Published: (2025)
by: Lee, Jinu, et al.
Published: (2025)
Speculative Thinking: Enhancing Small-Model Reasoning with Large Model Guidance at Inference Time
by: Yang, Wang, et al.
Published: (2025)
by: Yang, Wang, et al.
Published: (2025)
PRBench: Large-Scale Expert Rubrics for Evaluating High-Stakes Professional Reasoning
by: Akyürek, Afra Feyza, et al.
Published: (2025)
by: Akyürek, Afra Feyza, et al.
Published: (2025)
Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards
by: Yuan, Youliang, et al.
Published: (2025)
by: Yuan, Youliang, et al.
Published: (2025)
Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective
by: Yu, Yiyao, et al.
Published: (2025)
by: Yu, Yiyao, et al.
Published: (2025)
Understanding Aha Moments: from External Observations to Internal Mechanisms
by: Yang, Shu, et al.
Published: (2025)
by: Yang, Shu, et al.
Published: (2025)
Effectively Controlling Reasoning Models through Thinking Intervention
by: Wu, Tong, et al.
Published: (2025)
by: Wu, Tong, et al.
Published: (2025)
Preference-Aware Rubric Learning for Personalized Evaluation
by: Qiu, Yilun, et al.
Published: (2026)
by: Qiu, Yilun, et al.
Published: (2026)
Internal and External Impacts of Natural Language Processing Papers
by: Zhang, Yu
Published: (2025)
by: Zhang, Yu
Published: (2025)
Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking
by: Chen, Yilong, et al.
Published: (2025)
by: Chen, Yilong, et al.
Published: (2025)
Think Less, Know More: State-Aware Reasoning Compression with Knowledge Guidance for Efficient Reasoning
by: Sui, Yi, et al.
Published: (2026)
by: Sui, Yi, et al.
Published: (2026)
Hallucination Detection via Internal States and Structured Reasoning Consistency in Large Language Models
by: Song, Yusheng, et al.
Published: (2025)
by: Song, Yusheng, et al.
Published: (2025)
Steering LLM Thinking with Budget Guidance
by: Li, Junyan, et al.
Published: (2025)
by: Li, Junyan, et al.
Published: (2025)
ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation
by: Yang, Cheng, et al.
Published: (2024)
by: Yang, Cheng, et al.
Published: (2024)
Reinforced Internal-External Knowledge Synergistic Reasoning for Efficient Adaptive Search Agent
by: Huang, Ziyang, et al.
Published: (2025)
by: Huang, Ziyang, et al.
Published: (2025)
ProFit: Leveraging High-Value Signals in SFT via Probability-Guided Token Selection
by: Liu, Tao, et al.
Published: (2026)
by: Liu, Tao, et al.
Published: (2026)
Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate
by: Liang, Tian, et al.
Published: (2023)
by: Liang, Tian, et al.
Published: (2023)
From Rubrics to Reliable Scores: Evidence-Grounded Text Evaluation with LLM Judges
by: Hong, Yihan, et al.
Published: (2026)
by: Hong, Yihan, et al.
Published: (2026)
Efficient Reasoning with Balanced Thinking
by: Li, Yulin, et al.
Published: (2026)
by: Li, Yulin, et al.
Published: (2026)
Unveiling Effective In-Context Configurations for Image Captioning: An External & Internal Analysis
by: Li, Li, et al.
Published: (2025)
by: Li, Li, et al.
Published: (2025)
ResearchRubrics: A Benchmark of Prompts and Rubrics For Evaluating Deep Research Agents
by: Sharma, Manasi, et al.
Published: (2025)
by: Sharma, Manasi, et al.
Published: (2025)
Open Rubric System: Scaling Reinforcement Learning with Pairwise Adaptive Rubric
by: Jia, Ruipeng, et al.
Published: (2026)
by: Jia, Ruipeng, et al.
Published: (2026)
AdaRubric: Task-Adaptive Rubrics for Reliable LLM Agent Evaluation and Reward Learning
by: Ding, Liang
Published: (2026)
by: Ding, Liang
Published: (2026)
Large Language Models are In-context Teachers for Knowledge Reasoning
by: Zhao, Jiachen, et al.
Published: (2023)
by: Zhao, Jiachen, et al.
Published: (2023)
Semantic Volume: Quantifying and Detecting both External and Internal Uncertainty in LLMs
by: Li, Xiaomin, et al.
Published: (2025)
by: Li, Xiaomin, et al.
Published: (2025)
Rubrics to Tokens: Bridging Response-level Rubrics and Token-level Rewards in Instruction Following Tasks
by: Xu, Tianze, et al.
Published: (2026)
by: Xu, Tianze, et al.
Published: (2026)
EvoRubric: Self-Evolving Rubric-Driven RL for Open-Ended Generation
by: Guan, Xin, et al.
Published: (2026)
by: Guan, Xin, et al.
Published: (2026)
Adaptive Deep Reasoning: Triggering Deep Thinking When Needed
by: Wang, Yunhao, et al.
Published: (2025)
by: Wang, Yunhao, et al.
Published: (2025)
Large Language Models Can Self-Improve in Long-context Reasoning
by: Li, Siheng, et al.
Published: (2024)
by: Li, Siheng, et al.
Published: (2024)
ThinkBench: Dynamic Out-of-Distribution Evaluation for Robust LLM Reasoning
by: Huang, Shulin, et al.
Published: (2025)
by: Huang, Shulin, et al.
Published: (2025)
Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems
by: Li, Chuang, et al.
Published: (2024)
by: Li, Chuang, et al.
Published: (2024)
Similar Items
-
Internalize the Temperature: On-Policy Self-Distillation as Policy Reheater for Reinforcement Learning
by: Yang, Xuewei, et al.
Published: (2026) -
S2J: Bridging the Gap Between Solving and Judging Ability in Generative Reward Models
by: Sun, Shaoning, et al.
Published: (2025) -
CoWork-X: Experience-Optimized Co-Evolution for Multi-Agent Collaboration System
by: Lin, Zexin, et al.
Published: (2026) -
OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment
by: Liu, Tianci, et al.
Published: (2025) -
RuCL: Stratified Rubric-Based Curriculum Learning for Multimodal Large Language Model Reasoning
by: Chen, Yukun, et al.
Published: (2026)