Reference-guided Policy Optimization for Molecular Optimization via LLM Reasoning
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Xuan, Zhou, Zhanke, Li, Zongze, Yao, Jiangchao, Rong, Yu, Zhang, Lu, Han, Bo |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
by: Zhou, Zhanke, et al.
Published: (2024)
by: Zhou, Zhanke, et al.
Published: (2024)
From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?
by: Zhou, Zhanke, et al.
Published: (2025)
by: Zhou, Zhanke, et al.
Published: (2025)
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
by: Li, Xuan, et al.
Published: (2023)
by: Li, Xuan, et al.
Published: (2023)
AlphaApollo: A System for Deep Agentic Reasoning
by: Zhou, Zhanke, et al.
Published: (2025)
by: Zhou, Zhanke, et al.
Published: (2025)
Understanding Fairness Surrogate Functions in Algorithmic Fairness
by: Yao, Wei, et al.
Published: (2023)
by: Yao, Wei, et al.
Published: (2023)
RewardFlow: Topology-Aware Reward Propagation on State Graphs for Agentic RL with Large Language Models
by: Feng, Xiao, et al.
Published: (2026)
by: Feng, Xiao, et al.
Published: (2026)
Ratio-Variance Regularized Policy Optimization for Efficient LLM Fine-tuning
by: Luo, Yu, et al.
Published: (2026)
by: Luo, Yu, et al.
Published: (2026)
DRPO: Efficient Reasoning via Decoupled Reward Policy Optimization
by: Li, Gang, et al.
Published: (2025)
by: Li, Gang, et al.
Published: (2025)
Beyond Alignment: Expanding Reasoning Capacity via Manifold-Reshaping Policy Optimization
by: Wang, Dayu, et al.
Published: (2026)
by: Wang, Dayu, et al.
Published: (2026)
ERPO: Token-Level Entropy-Regulated Policy Optimization for Large Reasoning Models
by: Yu, Song, et al.
Published: (2026)
by: Yu, Song, et al.
Published: (2026)
LEPO: Latent Reasoning Policy Optimization for Large Language Models
by: Zhou, Yuyan, et al.
Published: (2026)
by: Zhou, Yuyan, et al.
Published: (2026)
Asymmetric Proximal Policy Optimization: mini-critics boost LLM reasoning
by: Liu, Jiashun, et al.
Published: (2025)
by: Liu, Jiashun, et al.
Published: (2025)
Group-in-Group Policy Optimization for LLM Agent Training
by: Feng, Lang, et al.
Published: (2025)
by: Feng, Lang, et al.
Published: (2025)
Unearthing Gems from Stones: Policy Optimization with Negative Sample Augmentation for LLM Reasoning
by: Yang, Zhaohui, et al.
Published: (2025)
by: Yang, Zhaohui, et al.
Published: (2025)
Segment-Aligned Policy Optimization for Multi-Modal Reasoning
by: Gao, Lei, et al.
Published: (2026)
by: Gao, Lei, et al.
Published: (2026)
LLM-Based Scientific Equation Discovery via Physics-Informed Token-Regularized Policy Optimization
by: Wang, Boxiao, et al.
Published: (2026)
by: Wang, Boxiao, et al.
Published: (2026)
DeepInception: Hypnotize Large Language Model to Be Jailbreaker
by: Li, Xuan, et al.
Published: (2023)
by: Li, Xuan, et al.
Published: (2023)
Relative Policy-Transition Optimization for Fast Policy Transfer
by: Xu, Jiawei, et al.
Published: (2022)
by: Xu, Jiawei, et al.
Published: (2022)
PSPO*: An Effective Process-supervised Policy Optimization for Reasoning Alignment
by: Li, Jiawei, et al.
Published: (2024)
by: Li, Jiawei, et al.
Published: (2024)
Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization
by: Liu, Zeyuan, et al.
Published: (2026)
by: Liu, Zeyuan, et al.
Published: (2026)
Reason in Chains, Learn in Trees: Self-Rectification and Grafting for Multi-turn Agent Policy Optimization
by: Li, Yu, et al.
Published: (2026)
by: Li, Yu, et al.
Published: (2026)
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection
by: Yu, Geng, et al.
Published: (2024)
by: Yu, Geng, et al.
Published: (2024)
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)
Calibration-Aware Policy Optimization for Reasoning LLMs
by: Wang, Ziqi, et al.
Published: (2026)
by: Wang, Ziqi, et al.
Published: (2026)
Beyond KL Divergence: Policy Optimization with Flexible Bregman Divergences for LLM Reasoning
by: Yuan, Rui, et al.
Published: (2026)
by: Yuan, Rui, et al.
Published: (2026)
ESPO: Early-Stopping Proximal Policy Optimization
by: Li, Zihang, et al.
Published: (2026)
by: Li, Zihang, et al.
Published: (2026)
Optimizing Anytime Reasoning via Budget Relative Policy Optimization
by: Qi, Penghui, et al.
Published: (2025)
by: Qi, Penghui, 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)
ReDit: Reward Dithering for Improved LLM Policy Optimization
by: Wei, Chenxing, et al.
Published: (2025)
by: Wei, Chenxing, et al.
Published: (2025)
Detector-Evasive LLM Paraphrasing via Constrained Policy Optimization
by: Wang, Mingyi, et al.
Published: (2026)
by: Wang, Mingyi, et al.
Published: (2026)
LLM Data Selection and Utilization via Dynamic Bi-level Optimization
by: Yu, Yang, et al.
Published: (2025)
by: Yu, Yang, et al.
Published: (2025)
UCPO: Uncertainty-Aware Policy Optimization
by: Zeng, Xianzhou, et al.
Published: (2026)
by: Zeng, Xianzhou, et al.
Published: (2026)
Slow-Fast Policy Optimization: Reposition-Before-Update for LLM Reasoning
by: Wang, Ziyan, et al.
Published: (2025)
by: Wang, Ziyan, et al.
Published: (2025)
Long Chain-of-Thought Compression via Fine-Grained Group Policy Optimization
by: Han, Xinchen, et al.
Published: (2026)
by: Han, Xinchen, et al.
Published: (2026)
Divergence-Augmented Policy Optimization
by: Wang, Qing, et al.
Published: (2025)
by: Wang, Qing, et al.
Published: (2025)
RLVR without Ineffective Samples: Group Prioritized Off-Policy Optimization for LLM Reasoning
by: Mao, Yixiu, et al.
Published: (2026)
by: Mao, Yixiu, et al.
Published: (2026)
From Data-Centric to Sample-Centric: Enhancing LLM Reasoning via Progressive Optimization
by: Chen, Xinjie, et al.
Published: (2025)
by: Chen, Xinjie, et al.
Published: (2025)
IIB-LPO: Latent Policy Optimization via Iterative Information Bottleneck
by: Deng, Huilin, et al.
Published: (2026)
by: Deng, Huilin, et al.
Published: (2026)
Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language Models
by: Zhang, Zizhuo, et al.
Published: (2025)
by: Zhang, Zizhuo, 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)
Similar Items
-
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
by: Zhou, Zhanke, et al.
Published: (2024) -
From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?
by: Zhou, Zhanke, et al.
Published: (2025) -
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
by: Li, Xuan, et al.
Published: (2023) -
AlphaApollo: A System for Deep Agentic Reasoning
by: Zhou, Zhanke, et al.
Published: (2025) -
Understanding Fairness Surrogate Functions in Algorithmic Fairness
by: Yao, Wei, et al.
Published: (2023)