Saved in:
| Main Authors: | Li, Yuan, Wang, Bo, Gao, Yufei, Yao, Yuqian, Wang, Xinyuan, Yin, Zhangyue, Qiu, Xipeng |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.04918 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LLatrieval: LLM-Verified Retrieval for Verifiable Generation
by: Li, Xiaonan, et al.
Published: (2023)
by: Li, Xiaonan, et al.
Published: (2023)
RLoop: An Self-Improving Framework for Reinforcement Learning with Iterative Policy Initialization
by: Zhiyuan, Zeng, et al.
Published: (2025)
by: Zhiyuan, Zeng, et al.
Published: (2025)
It's Not You, It's Clipping: A Soft Trust-Region via Probability Smoothing for LLM RL
by: Dwyer, Madeleine, et al.
Published: (2025)
by: Dwyer, Madeleine, et al.
Published: (2025)
R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement Learning
by: Li, Yuan, et al.
Published: (2025)
by: Li, Yuan, et al.
Published: (2025)
Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?
by: Zeng, Zhiyuan, et al.
Published: (2025)
by: Zeng, Zhiyuan, et al.
Published: (2025)
Error Classification of Large Language Models on Math Word Problems: A Dynamically Adaptive Framework
by: Sun, Yuhong, et al.
Published: (2025)
by: Sun, Yuhong, et al.
Published: (2025)
Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective
by: Zeng, Zhiyuan, et al.
Published: (2024)
by: Zeng, Zhiyuan, et al.
Published: (2024)
ARISE: An Adaptive Resolution-Aware Metric for Test-Time Scaling Evaluation in Large Reasoning Models
by: Yin, Zhangyue, et al.
Published: (2025)
by: Yin, Zhangyue, et al.
Published: (2025)
Dynamic and Generalizable Process Reward Modeling
by: Yin, Zhangyue, et al.
Published: (2025)
by: Yin, Zhangyue, et al.
Published: (2025)
Benchmarking Hallucination in Large Language Models based on Unanswerable Math Word Problem
by: Sun, Yuhong, et al.
Published: (2024)
by: Sun, Yuhong, et al.
Published: (2024)
Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration
by: Sun, Qiushi, et al.
Published: (2023)
by: Sun, Qiushi, et al.
Published: (2023)
Online Distributed Optimization with Clipped Stochastic Gradients: High Probability Bound of Regrets
by: Yang, Yuchen, et al.
Published: (2024)
by: Yang, Yuchen, et al.
Published: (2024)
FamilyTool: A Multi-hop Personalized Tool Use Benchmark
by: Wang, Yuxin, et al.
Published: (2025)
by: Wang, Yuxin, et al.
Published: (2025)
VehicleWorld: A Highly Integrated Multi-Device Environment for Intelligent Vehicle Interaction
by: Yang, Jie, et al.
Published: (2025)
by: Yang, Jie, et al.
Published: (2025)
REARANK: Reasoning Re-ranking Agent via Reinforcement Learning
by: Zhang, Le, et al.
Published: (2025)
by: Zhang, Le, et al.
Published: (2025)
TRAM: Bridging Trust Regions and Sharpness Aware Minimization
by: Sherborne, Tom, et al.
Published: (2023)
by: Sherborne, Tom, et al.
Published: (2023)
Adaptive-Boundary-Clipping GRPO: Ensuring Bounded Ratios for Stable and Generalizable Training
by: Liu, Chi, et al.
Published: (2026)
by: Liu, Chi, et al.
Published: (2026)
Trust Region Masking for Long-Horizon LLM Reinforcement Learning
by: Li, Yingru, et al.
Published: (2025)
by: Li, Yingru, et al.
Published: (2025)
VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks
by: Zhang, Shiduo, et al.
Published: (2024)
by: Zhang, Shiduo, et al.
Published: (2024)
Differentially Private Clipped-SGD: High-Probability Convergence with Arbitrary Clipping Level
by: Khah, Saleh Vatan, et al.
Published: (2025)
by: Khah, Saleh Vatan, et al.
Published: (2025)
The Past Is Not Past: Memory-Enhanced Dynamic Reward Shaping
by: Liu, Yang, et al.
Published: (2026)
by: Liu, Yang, et al.
Published: (2026)
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning
by: Su, Zhenpeng, et al.
Published: (2025)
by: Su, Zhenpeng, et al.
Published: (2025)
Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning
by: Zhou, Zhi, et al.
Published: (2025)
by: Zhou, Zhi, et al.
Published: (2025)
Rethinking Ratio-Based Trust Regions for Policy Optimization in Multi-Agent Reinforcement Learning
by: Wijesundara, Chulabhaya, et al.
Published: (2026)
by: Wijesundara, Chulabhaya, et al.
Published: (2026)
Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization
by: Liu, Shixuan, et al.
Published: (2024)
by: Liu, Shixuan, et al.
Published: (2024)
High Probability Complexity Bounds of Trust-Region Stochastic Sequential Quadratic Programming with Heavy-Tailed Noise
by: Fang, Yuchen, et al.
Published: (2025)
by: Fang, Yuchen, et al.
Published: (2025)
Bounded Ratio Reinforcement Learning
by: Ao, Yunke, et al.
Published: (2026)
by: Ao, Yunke, et al.
Published: (2026)
TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination
by: Xie, Yi, et al.
Published: (2026)
by: Xie, Yi, et al.
Published: (2026)
Turn Waste into Worth: Rectifying Top-$k$ Router of MoE
by: Zeng, Zhiyuan, et al.
Published: (2024)
by: Zeng, Zhiyuan, et al.
Published: (2024)
Are LLMs Rational Investors? A Study on Detecting and Reducing the Financial Bias in LLMs
by: Zhou, Yuhang, et al.
Published: (2024)
by: Zhou, Yuhang, et al.
Published: (2024)
Can AI Assistants Know What They Don't Know?
by: Cheng, Qinyuan, et al.
Published: (2024)
by: Cheng, Qinyuan, et al.
Published: (2024)
Unified Active Retrieval for Retrieval Augmented Generation
by: Cheng, Qinyuan, et al.
Published: (2024)
by: Cheng, Qinyuan, et al.
Published: (2024)
A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning
by: Zhou, Zhi, et al.
Published: (2025)
by: Zhou, Zhi, et al.
Published: (2025)
High Probability Convergence of Distributed Clipped Stochastic Gradient Descent with Heavy-tailed Noise
by: Yang, Yuchen, et al.
Published: (2025)
by: Yang, Yuchen, et al.
Published: (2025)
Clipped SGD Algorithms for Performative Prediction: Tight Bounds for Clipping Bias and Remedies
by: Li, Qiang, et al.
Published: (2024)
by: Li, Qiang, et al.
Published: (2024)
GeoClip: Geometry-Aware Clipping for Differentially Private SGD
by: Gilani, Atefeh, et al.
Published: (2025)
by: Gilani, Atefeh, et al.
Published: (2025)
Trust Region On-Policy Distillation
by: Xing, Xingrun, et al.
Published: (2026)
by: Xing, Xingrun, et al.
Published: (2026)
LLM can Achieve Self-Regulation via Hyperparameter Aware Generation
by: Wang, Siyin, et al.
Published: (2024)
by: Wang, Siyin, et al.
Published: (2024)
$R^3$-NL2GQL: A Model Coordination and Knowledge Graph Alignment Approach for NL2GQL
by: Zhou, Yuhang, et al.
Published: (2023)
by: Zhou, Yuhang, et al.
Published: (2023)
Balanced Aggregation: Understanding and Fixing Aggregation Bias in GRPO
by: Zeng, Zhiyuan, et al.
Published: (2026)
by: Zeng, Zhiyuan, et al.
Published: (2026)
Similar Items
-
LLatrieval: LLM-Verified Retrieval for Verifiable Generation
by: Li, Xiaonan, et al.
Published: (2023) -
RLoop: An Self-Improving Framework for Reinforcement Learning with Iterative Policy Initialization
by: Zhiyuan, Zeng, et al.
Published: (2025) -
It's Not You, It's Clipping: A Soft Trust-Region via Probability Smoothing for LLM RL
by: Dwyer, Madeleine, et al.
Published: (2025) -
R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement Learning
by: Li, Yuan, et al.
Published: (2025) -
Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?
by: Zeng, Zhiyuan, et al.
Published: (2025)