Causally-Enhanced Reinforcement Policy Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Xiangqi, Huang, Yue, Zhou, Yujun, Luo, Xiaonan, Guo, Kehan, Zhang, Xiangliang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking in Large Language Models
by: Wang, Xiangqi, et al.
Published: (2025)
by: Wang, Xiangqi, et al.
Published: (2025)
Dual Optimal: Make Your LLM Peer-like with Dignity
by: Wang, Xiangqi, et al.
Published: (2026)
by: Wang, Xiangqi, et al.
Published: (2026)
SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs?
by: Zhuang, Haomin, et al.
Published: (2024)
by: Zhuang, Haomin, et al.
Published: (2024)
Agentic Reinforced Policy Optimization
by: Dong, Guanting, et al.
Published: (2025)
by: Dong, Guanting, et al.
Published: (2025)
BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping
by: Xi, Zhiheng, et al.
Published: (2025)
by: Xi, Zhiheng, et al.
Published: (2025)
AutoLLMResearch: Training Research Agents for Automating LLM Experiment Configuration - Learning from Cheap, Optimizing Expensive
by: Guo, Taicheng, et al.
Published: (2026)
by: Guo, Taicheng, et al.
Published: (2026)
Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study
by: Zhou, Yujun, et al.
Published: (2025)
by: Zhou, Yujun, et al.
Published: (2025)
RePO: Replay-Enhanced Policy Optimization
by: Li, Siheng, et al.
Published: (2025)
by: Li, Siheng, et al.
Published: (2025)
Tree-based Dialogue Reinforced Policy Optimization for Red-Teaming Attacks
by: Guo, Ruohao, et al.
Published: (2025)
by: Guo, Ruohao, et al.
Published: (2025)
Beyond Uniform Credit: Causal Credit Assignment for Policy Optimization
by: Khandoga, Mykola, et al.
Published: (2026)
by: Khandoga, Mykola, et al.
Published: (2026)
Policy Split: Incentivizing Dual-Mode Exploration in LLM Reinforcement with Dual-Mode Entropy Regularization
by: Yao, Jiashu, et al.
Published: (2026)
by: Yao, Jiashu, et al.
Published: (2026)
MHPO: Modulated Hazard-aware Policy Optimization for Stable Reinforcement Learning
by: Wang, Hongjun, et al.
Published: (2026)
by: Wang, Hongjun, et al.
Published: (2026)
Building a Foundational Guardrail for General Agentic Systems via Synthetic Data
by: Huang, Yue, et al.
Published: (2025)
by: Huang, Yue, et al.
Published: (2025)
Preference Leakage: A Contamination Problem in LLM-as-a-judge
by: Li, Dawei, et al.
Published: (2025)
by: Li, Dawei, et al.
Published: (2025)
Pass@K Policy Optimization: Solving Harder Reinforcement Learning Problems
by: Walder, Christian, et al.
Published: (2025)
by: Walder, Christian, et al.
Published: (2025)
GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models
by: Wang, Tuo, et al.
Published: (2025)
by: Wang, Tuo, et al.
Published: (2025)
Agentic Policy Optimization via Instruction-Policy Co-Evolution
by: Zhou, Han, et al.
Published: (2025)
by: Zhou, Han, et al.
Published: (2025)
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)
Fibration Policy Optimization
by: Li, Chang, et al.
Published: (2026)
by: Li, Chang, et al.
Published: (2026)
Adaptive Social Learning via Mode Policy Optimization for Language Agents
by: Wang, Minzheng, et al.
Published: (2025)
by: Wang, Minzheng, et al.
Published: (2025)
DCPO: Dynamic Clipping Policy Optimization
by: Yang, Shihui, et al.
Published: (2025)
by: Yang, Shihui, et al.
Published: (2025)
CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities
by: Mao, Yujun, et al.
Published: (2024)
by: Mao, Yujun, et al.
Published: (2024)
HAPO: Training Language Models to Reason Concisely via History-Aware Policy Optimization
by: Huang, Chengyu, et al.
Published: (2025)
by: Huang, Chengyu, et al.
Published: (2025)
Reinforcement Learning Enhanced LLMs: A Survey
by: Wang, Shuhe, et al.
Published: (2024)
by: Wang, Shuhe, et al.
Published: (2024)
Soft Adaptive Policy Optimization
by: Gao, Chang, et al.
Published: (2025)
by: Gao, Chang, et al.
Published: (2025)
Group Sequence Policy Optimization
by: Zheng, Chujie, et al.
Published: (2025)
by: Zheng, Chujie, et al.
Published: (2025)
EBPO: Empirical Bayes Shrinkage for Stabilizing Group-Relative Policy Optimization
by: Han, Kevin, et al.
Published: (2026)
by: Han, Kevin, et al.
Published: (2026)
PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative Verifier
by: Jiang, Yuhua, et al.
Published: (2025)
by: Jiang, Yuhua, et al.
Published: (2025)
SPEC-RL: Accelerating On-Policy Reinforcement Learning with Speculative Rollouts
by: Liu, Bingshuai, et al.
Published: (2025)
by: Liu, Bingshuai, et al.
Published: (2025)
On the Role of Preference Variance in Preference Optimization
by: Guo, Jiacheng, et al.
Published: (2025)
by: Guo, Jiacheng, et al.
Published: (2025)
Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization
by: Su, Zhenpeng, et al.
Published: (2025)
by: Su, Zhenpeng, et al.
Published: (2025)
PORTool: Importance-Aware Policy Optimization with Rewarded Tree for Multi-Tool-Integrated Reasoning
by: Wu, Feijie, et al.
Published: (2025)
by: Wu, Feijie, et al.
Published: (2025)
Relative Preference Optimization: Enhancing LLM Alignment through Contrasting Responses across Identical and Diverse Prompts
by: Yin, Yueqin, et al.
Published: (2024)
by: Yin, Yueqin, et al.
Published: (2024)
BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning
by: Zhong, Han, et al.
Published: (2025)
by: Zhong, Han, et al.
Published: (2025)
Exploring Multi-Temperature Strategies for Token- and Rollout-Level Control in RLVR
by: Zhuang, Haomin, et al.
Published: (2025)
by: Zhuang, Haomin, et al.
Published: (2025)
COPO: Consistency-Aware Policy Optimization
by: Han, Jinghang, et al.
Published: (2025)
by: Han, Jinghang, et al.
Published: (2025)
Slow-Fast Policy Optimization: Reposition-Before-Update for LLM Reasoning
by: Wang, Ziyan, et al.
Published: (2025)
by: Wang, Ziyan, et al.
Published: (2025)
WPO: Enhancing RLHF with Weighted Preference Optimization
by: Zhou, Wenxuan, et al.
Published: (2024)
by: Zhou, Wenxuan, et al.
Published: (2024)
SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark
by: Liang, Zhenwen, et al.
Published: (2024)
by: Liang, Zhenwen, et al.
Published: (2024)
EVPO: Explained Variance Policy Optimization for Adaptive Critic Utilization in LLM Post-Training
by: Pan, Chengjun, et al.
Published: (2026)
by: Pan, Chengjun, et al.
Published: (2026)
Similar Items
-
AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking in Large Language Models
by: Wang, Xiangqi, et al.
Published: (2025) -
Dual Optimal: Make Your LLM Peer-like with Dignity
by: Wang, Xiangqi, et al.
Published: (2026) -
SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs?
by: Zhuang, Haomin, et al.
Published: (2024) -
Agentic Reinforced Policy Optimization
by: Dong, Guanting, et al.
Published: (2025) -
BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping
by: Xi, Zhiheng, et al.
Published: (2025)