:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wu, Jiaqi, Zhao, Qinlao, Chen, Zefeng, Qin, Kai, Zhao, Yifei, Wang, Xueqian, Yao, Yuhang
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Computation and Language
Online Access:	https://arxiv.org/abs/2510.25320
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models
by: Sun, Haoyuan, et al.
Published: (2025)

ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
by: Feng, Jiazhan, et al.
Published: (2025)

VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use
by: Jiang, Dongfu, et al.
Published: (2025)

Process-Supervised Reinforcement Learning for Interactive Multimodal Tool-Use Agents
by: Tan, Weiting, et al.
Published: (2025)

A Review of Prominent Paradigms for LLM-Based Agents: Tool Use (Including RAG), Planning, and Feedback Learning
by: Li, Xinzhe
Published: (2024)

Toward Efficient Agents: Memory, Tool learning, and Planning
by: Yang, Xiaofang, et al.
Published: (2026)

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

SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience
by: Sun, Zeyi, et al.
Published: (2025)

Lifelong Safety Alignment for Language Models
by: Wang, Haoyu, et al.
Published: (2025)

iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use
by: Zeng, Yirong, et al.
Published: (2025)

PGPO: Enhancing Agent Reasoning via Pseudocode-style Planning Guided Preference Optimization
by: Cao, Zouying, et al.
Published: (2025)

Adaptive Ability Decomposing for Unlocking Large Reasoning Model Effective Reinforcement Learning
by: Chen, Zhipeng, et al.
Published: (2026)

NaviAgent: Graph-Driven Bilevel Planning for Scalable Tool Orchestration
by: Jiang, Yan, et al.
Published: (2025)

TOOLCAD: Exploring Tool-Using Large Language Models in Text-to-CAD Generation with Reinforcement Learning
by: Gong, Yifei, et al.
Published: (2026)

SciToolAgent: A Knowledge Graph-Driven Scientific Agent for Multi-Tool Integration
by: Ding, Keyan, et al.
Published: (2025)

Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning
by: Dong, Guanting, et al.
Published: (2025)

Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table Understanding
by: Zhou, Yuhang, et al.
Published: (2025)

TUMIX: Multi-Agent Test-Time Scaling with Tool-Use Mixture
by: Chen, Yongchao, et al.
Published: (2025)

ParallelSearch: Train your LLMs to Decompose Query and Search Sub-queries in Parallel with Reinforcement Learning
by: Zhao, Shu, et al.
Published: (2025)

Plan Then Action:High-Level Planning Guidance Reinforcement Learning for LLM Reasoning
by: Dou, Zhihao, et al.
Published: (2025)

CapRL: Stimulating Dense Image Caption Capabilities via Reinforcement Learning
by: Xing, Long, et al.
Published: (2025)

GTA: A Benchmark for General Tool Agents
by: Wang, Jize, et al.
Published: (2024)

CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use Agents
by: Liu, Jiayu, et al.
Published: (2025)

LESA: Learnable LLM Layer Scaling-Up
by: Yang, Yifei, et al.
Published: (2025)

GTA-2: Benchmarking General Tool Agents from Atomic Tool-Use to Open-Ended Workflows
by: Wang, Jize, et al.
Published: (2026)

Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective
by: Wang, Siwei, et al.
Published: (2025)

DPWriter: Reinforcement Learning with Diverse Planning Branching for Creative Writing
by: Cao, Qian, et al.
Published: (2026)

Thinking with Map: Reinforced Parallel Map-Augmented Agent for Geolocalization
by: Ji, Yuxiang, et al.
Published: (2026)

Flash-Searcher: Fast and Effective Web Agents via DAG-Based Parallel Execution
by: Qin, Tianrui, et al.
Published: (2025)

Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering
by: Xu, Yao, et al.
Published: (2024)

Input Conditioned Graph Generation for Language Agents
by: Vierling, Lukas, et al.
Published: (2024)

Self-Compression of Chain-of-Thought via Multi-Agent Reinforcement Learning
by: Chen, Yiqun, et al.
Published: (2026)

Plan, Verify and Fill: A Structured Parallel Decoding Approach for Diffusion Language Models
by: Li, Miao, et al.
Published: (2026)

Learning Adaptive Parallel Reasoning with Language Models
by: Pan, Jiayi, et al.
Published: (2025)

Revealing the Barriers of Language Agents in Planning
by: Xie, Jian, et al.
Published: (2024)

Stratified GRPO: Handling Structural Heterogeneity in Reinforcement Learning of LLM Search Agents
by: Zhu, Mingkang, et al.
Published: (2025)

MENTOR: A Reinforcement Learning Framework for Enabling Tool Use in Small Models via Teacher-Optimized Rewards
by: Choi, ChangSu, et al.
Published: (2025)

Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation
by: Zhu, Dongsheng, et al.
Published: (2025)

AMARIS: A Memory-Augmented Rubric Improvement System for Rubric-Based Reinforcement Learning
by: Wu, Peilin, et al.
Published: (2026)

Plan-over-Graph: Towards Parallelable LLM Agent Schedule
by: Zhang, Shiqi, et al.
Published: (2025)