Saved in:
| Main Authors: | Zhan, Runzhe, Li, Yafu, Wang, Zhi, Qu, Xiaoye, Liu, Dongrui, Shao, Jing, Wong, Derek F., Cheng, Yu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.02245 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Rethinking Entropy Regularization in Large Reasoning Models
by: Jiang, Yuxian, et al.
Published: (2025)
by: Jiang, Yuxian, et al.
Published: (2025)
Learning to Reason under Off-Policy Guidance
by: Yan, Jianhao, et al.
Published: (2025)
by: Yan, Jianhao, et al.
Published: (2025)
Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models
by: Fu, Tingchen, et al.
Published: (2025)
by: Fu, Tingchen, et al.
Published: (2025)
Conditional Advantage Estimation for Reinforcement Learning in Large Reasoning Models
by: Chen, Guanxu, et al.
Published: (2025)
by: Chen, Guanxu, et al.
Published: (2025)
Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning
by: Chen, Shuang, et al.
Published: (2025)
by: Chen, Shuang, et al.
Published: (2025)
VisAidMath: Benchmarking Visual-Aided Mathematical Reasoning
by: Ma, Jingkun, et al.
Published: (2024)
by: Ma, Jingkun, et al.
Published: (2024)
Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost
by: Zhan, Runzhe, et al.
Published: (2025)
by: Zhan, Runzhe, et al.
Published: (2025)
Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Model
by: Zhan, Runzhe, et al.
Published: (2024)
by: Zhan, Runzhe, et al.
Published: (2024)
SEE: Continual Fine-tuning with Sequential Ensemble of Experts
by: Wang, Zhilin, et al.
Published: (2025)
by: Wang, Zhilin, et al.
Published: (2025)
Towards an AI Musician: Synthesizing Sheet Music Problems for Musical Reasoning
by: Wang, Zhilin, et al.
Published: (2025)
by: Wang, Zhilin, et al.
Published: (2025)
A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions
by: Wu, Junchao, et al.
Published: (2023)
by: Wu, Junchao, et al.
Published: (2023)
LASP-2: Rethinking Sequence Parallelism for Linear Attention and Its Hybrid
by: Sun, Weigao, et al.
Published: (2025)
by: Sun, Weigao, et al.
Published: (2025)
PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models
by: Song, Mingyang, et al.
Published: (2025)
by: Song, Mingyang, et al.
Published: (2025)
COLLEAGUE.SKILL: Automated AI Skill Generation via Expert Knowledge Distillation
by: Zhou, Tianyi, et al.
Published: (2026)
by: Zhou, Tianyi, et al.
Published: (2026)
GRPO-CARE: Consistency-Aware Reinforcement Learning for Multimodal Reasoning
by: Chen, Yi, et al.
Published: (2025)
by: Chen, Yi, et al.
Published: (2025)
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging
by: Lu, Zhenyi, et al.
Published: (2024)
by: Lu, Zhenyi, et al.
Published: (2024)
DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios
by: Wu, Junchao, et al.
Published: (2024)
by: Wu, Junchao, et al.
Published: (2024)
From Reasoning to Code: GRPO Optimization for Underrepresented Languages
by: Pennino, Federico, et al.
Published: (2025)
by: Pennino, Federico, et al.
Published: (2025)
Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning
by: Qian, Chen, et al.
Published: (2025)
by: Qian, Chen, et al.
Published: (2025)
XSkill: Continual Learning from Experience and Skills in Multimodal Agents
by: Jiang, Guanyu, et al.
Published: (2026)
by: Jiang, Guanyu, et al.
Published: (2026)
ReasonAny: Incorporating Reasoning Capability to Any Model via Simple and Effective Model Merging
by: Yang, Junyao, et al.
Published: (2026)
by: Yang, Junyao, et al.
Published: (2026)
Scaf-GRPO: Scaffolded Group Relative Policy Optimization for Enhancing LLM Reasoning
by: Zhang, Xichen, et al.
Published: (2025)
by: Zhang, Xichen, et al.
Published: (2025)
Loop as a Bridge: Can Looped Transformers Truly Link Representation Space and Natural Language Outputs?
by: Chen, Guanxu, et al.
Published: (2026)
by: Chen, Guanxu, et al.
Published: (2026)
Multi-Task GRPO: Reliable LLM Reasoning Across Tasks
by: Ramesh, Shyam Sundhar, et al.
Published: (2026)
by: Ramesh, Shyam Sundhar, et al.
Published: (2026)
A Survey of Reinforcement Learning for Large Reasoning Models
by: Zhang, Kaiyan, et al.
Published: (2025)
by: Zhang, Kaiyan, et al.
Published: (2025)
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion
by: Fan, Chenghao, et al.
Published: (2024)
by: Fan, Chenghao, et al.
Published: (2024)
Stepwise Guided Policy Optimization: Coloring your Incorrect Reasoning in GRPO
by: Chen, Peter, et al.
Published: (2025)
by: Chen, Peter, et al.
Published: (2025)
X-Boundary: Establishing Exact Safety Boundary to Shield LLMs from Multi-Turn Jailbreaks without Compromising Usability
by: Lu, Xiaoya, et al.
Published: (2025)
by: Lu, Xiaoya, et al.
Published: (2025)
Linear-MoE: Linear Sequence Modeling Meets Mixture-of-Experts
by: Sun, Weigao, et al.
Published: (2025)
by: Sun, Weigao, et al.
Published: (2025)
Taming Extreme Tokens: Covariance-Aware GRPO with Gaussian-Kernel Advantage Reweighting
by: Wang, Cheng, et al.
Published: (2026)
by: Wang, Cheng, et al.
Published: (2026)
GanitLLM: Difficulty-Aware Bengali Mathematical Reasoning through Curriculum-GRPO
by: Dipta, Shubhashis Roy, et al.
Published: (2026)
by: Dipta, Shubhashis Roy, et al.
Published: (2026)
Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning
by: Wang, Yiming, et al.
Published: (2024)
by: Wang, Yiming, et al.
Published: (2024)
Stratified GRPO: Handling Structural Heterogeneity in Reinforcement Learning of LLM Search Agents
by: Zhu, Mingkang, et al.
Published: (2025)
by: Zhu, Mingkang, et al.
Published: (2025)
Achieving Gold-Medal-Level Olympiad Reasoning via Simple and Unified Scaling
by: Li, Yafu, et al.
Published: (2026)
by: Li, Yafu, et al.
Published: (2026)
Timo: Towards Better Temporal Reasoning for Language Models
by: Su, Zhaochen, et al.
Published: (2024)
by: Su, Zhaochen, et al.
Published: (2024)
FaithRL: Learning to Reason Faithfully through Step-Level Faithfulness Maximization
by: Gui, Runquan, et al.
Published: (2026)
by: Gui, Runquan, et al.
Published: (2026)
Can GRPO Help LLMs Transcend Their Pretraining Origin?
by: Ni, Kangqi, et al.
Published: (2025)
by: Ni, Kangqi, et al.
Published: (2025)
Beyond External Monitors: Enhancing Transparency of Large Language Models for Easier Monitoring
by: Chen, Guanxu, et al.
Published: (2025)
by: Chen, Guanxu, et al.
Published: (2025)
Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents
by: Shao, Shuai, et al.
Published: (2025)
by: Shao, Shuai, et al.
Published: (2025)
Generative Adversarial Reasoner: Enhancing LLM Reasoning with Adversarial Reinforcement Learning
by: Liu, Qihao, et al.
Published: (2025)
by: Liu, Qihao, et al.
Published: (2025)
Similar Items
-
Rethinking Entropy Regularization in Large Reasoning Models
by: Jiang, Yuxian, et al.
Published: (2025) -
Learning to Reason under Off-Policy Guidance
by: Yan, Jianhao, et al.
Published: (2025) -
Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models
by: Fu, Tingchen, et al.
Published: (2025) -
Conditional Advantage Estimation for Reinforcement Learning in Large Reasoning Models
by: Chen, Guanxu, et al.
Published: (2025) -
Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning
by: Chen, Shuang, et al.
Published: (2025)