:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Lijun, Li, Ruiyang, Liu, Zhaocheng, Zhu, Chenglin, Li, Chong, Cheng, Jiehan, Ju, Qiang, Xie, Jian
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2506.13363
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches
by: Tan, Jiejun, et al.
Published: (2025)

Exploring the Inquiry-Diagnosis Relationship with Advanced Patient Simulators
by: Liu, Zhaocheng, et al.
Published: (2025)

SkinFlow: Efficient Information Transmission for Open Dermatological Diagnosis via Dynamic Visual Encoding and Staged RL
by: Liu, Lijun, et al.
Published: (2026)

Learning Representations for Reasoning: Generalizing Across Diverse Structures
by: Zhu, Zhaocheng
Published: (2024)

ExPO: Unlocking Hard Reasoning with Self-Explanation-Guided Reinforcement Learning
by: Zhou, Ruiyang, et al.
Published: (2025)

UniVIE: A Unified Label Space Approach to Visual Information Extraction from Form-like Documents
by: Hu, Kai, et al.
Published: (2024)

Overcoming Long-Context Limitations of State-Space Models via Context-Dependent Sparse Attention
by: Zhan, Zhihao, et al.
Published: (2025)

Multilingual Safety Alignment via Self-Distillation
by: Qin, Ruiyang, et al.
Published: (2026)

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards
by: Liu, Cheng, et al.
Published: (2025)

Fleming-R1: Toward Expert-Level Medical Reasoning via Reinforcement Learning
by: Liu, Chi, et al.
Published: (2025)

DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation
by: Wang, Shuting, et al.
Published: (2024)

Towards Foundation Models for Knowledge Graph Reasoning
by: Galkin, Mikhail, et al.
Published: (2023)

Efficient and Transferable Agentic Knowledge Graph RAG via Reinforcement Learning
by: Lin, Junhong, et al.
Published: (2025)

Large Language Models can Learn Rules
by: Zhu, Zhaocheng, et al.
Published: (2023)

Interleaved Reasoning for Large Language Models via Reinforcement Learning
by: Xie, Roy, et al.
Published: (2025)

MMedAgent: Learning to Use Medical Tools with Multi-modal Agent
by: Li, Binxu, et al.
Published: (2024)

Self-Critique-Guided Curiosity Refinement: Enhancing Honesty and Helpfulness in Large Language Models via In-Context Learning
by: Ho, Duc Hieu, et al.
Published: (2025)

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning
by: Zhang, Xiaotian, et al.
Published: (2025)

Scaling Medical Reasoning Verification via Tool-Integrated Reinforcement Learning
by: Zhang, Hang, et al.
Published: (2026)

Med-R$^3$: Enhancing Medical Retrieval-Augmented Reasoning of LLMs via Progressive Reinforcement Learning
by: Lu, Keer, et al.
Published: (2025)

TokAlign: Efficient Vocabulary Adaptation via Token Alignment
by: Li, Chong, et al.
Published: (2025)

Demystifying Reinforcement Learning for Long-Horizon Tool-Using Agents: A Comprehensive Recipe
by: Wu, Xixi, et al.
Published: (2026)

Medical Dialogue Generation via Intuitive-then-Analytical Differential Diagnosis
by: Xu, Kaishuai, et al.
Published: (2024)

Not All Thoughts are Generated Equal: Efficient LLM Reasoning via Multi-Turn Reinforcement Learning
by: Ning, Yansong, et al.
Published: (2025)

Adaptive Reinforcement Learning Planning: Harnessing Large Language Models for Complex Information Extraction
by: Ding, Zepeng, et al.
Published: (2024)

PilotRL: Training Language Model Agents via Global Planning-Guided Progressive Reinforcement Learning
by: Lu, Keer, et al.
Published: (2025)

MedAide: Information Fusion and Anatomy of Medical Intents via LLM-based Agent Collaboration
by: Yang, Dingkang, et al.
Published: (2024)

Analysis of Levenshtein Transformer's Decoder and Its Variants
by: Zhou, Ruiyang
Published: (2024)

InftyThink+: Effective and Efficient Infinite-Horizon Reasoning via Reinforcement Learning
by: Yan, Yuchen, et al.
Published: (2026)

Reinforced Informativeness Optimization for Long-Form Retrieval-Augmented Generation
by: Wang, Yuhao, et al.
Published: (2025)

AgentGL: Towards Agentic Graph Learning with LLMs via Reinforcement Learning
by: Sun, Yuanfu, et al.
Published: (2026)

Infi-MMR: Curriculum-based Unlocking Multimodal Reasoning via Phased Reinforcement Learning in Multimodal Small Language Models
by: Liu, Zeyu, et al.
Published: (2025)

Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large Language Model
by: Ye, Qichen, et al.
Published: (2023)

S$^2$R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning
by: Ma, Ruotian, et al.
Published: (2025)

Reinforced Internal-External Knowledge Synergistic Reasoning for Efficient Adaptive Search Agent
by: Huang, Ziyang, et al.
Published: (2025)

SARI: Structured Audio Reasoning via Curriculum-Guided Reinforcement Learning
by: Wen, Cheng, et al.
Published: (2025)

DeltaMem: Towards Agentic Memory Management via Reinforcement Learning
by: Zhang, Qi, et al.
Published: (2026)

DeepRefine: Agent-Compiled Knowledge Refinement via Reinforcement Learning
by: Huang, Haoyu, et al.
Published: (2026)

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation
by: Li, Tianjiao, et al.
Published: (2025)

Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement Learning
by: Lei, Xuanyu, et al.
Published: (2025)