:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ma, Qinghe, Zhao, Zhen, Wu, Yiming, Zhang, Jian, Bai, Lei, Shi, Yinghuan
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2605.19852
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval
by: Chen, Yanfei, et al.
Published: (2024)

Adaptive Tool Generation with Models as Tools and Reinforcement Learning
by: Wang, Chenpeng, et al.
Published: (2025)

When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math Reasoning
by: Xu, Ruotao, et al.
Published: (2026)

Case-Based Calibration of Adaptive Reasoning and Execution for LLM Tool Use
by: Pang, Renning, et al.
Published: (2026)

ToolDreamer: Instilling LLM Reasoning Into Tool Retrievers
by: Sengupta, Saptarshi, et al.
Published: (2025)

When to Invoke: Refining LLM Fairness with Toxicity Assessment
by: Ren, Jing, et al.
Published: (2026)

ToolSample: Dual Dynamic Sampling Methods with Curriculum Learning for RL-based Tool Learning
by: Feng, Zihao, et al.
Published: (2025)

Learning from the Irrecoverable: Error-Localized Policy Optimization for Tool-Integrated LLM Reasoning
by: Liang, Qiao, et al.
Published: (2026)

ToolLibGen: Scalable Automatic Tool Creation and Aggregation for LLM Reasoning
by: Yue, Murong, et al.
Published: (2025)

ToolPlanner: A Tool Augmented LLM for Multi Granularity Instructions with Path Planning and Feedback
by: Wu, Qinzhuo, et al.
Published: (2024)

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

Unleashing the Power of Intermediate Domains for Mixed Domain Semi-Supervised Medical Image Segmentation
by: Ma, Qinghe, et al.
Published: (2025)

Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation
by: Ma, Qinghe, et al.
Published: (2025)

Invoke Interfaces Only When Needed: Adaptive Invocation for Large Language Models in Question Answering
by: Zhao, Jihao, et al.
Published: (2025)

A$^2$FM: An Adaptive Agent Foundation Model for Tool-Aware Hybrid Reasoning
by: Chen, Qianben, et al.
Published: (2025)

Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation
by: Ma, Qinghe, et al.
Published: (2024)

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

ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities
by: Lu, Jiarui, et al.
Published: (2024)

Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools
by: Wu, Junde, et al.
Published: (2025)

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning
by: Zhang, Luan, et al.
Published: (2026)

DiLA: Enhancing LLM Tool Learning with Differential Logic Layer
by: Zhang, Yu, et al.
Published: (2024)

Learning How to Use Tools, Not Just When: Pattern-Aware Tool-Integrated Reasoning
by: Xu, Ningning, et al.
Published: (2025)

Incentivizing Agentic Reasoning in LLM Judges via Tool-Integrated Reinforcement Learning
by: Xu, Ran, et al.
Published: (2025)

GATE: Graph-based Adaptive Tool Evolution Across Diverse Tasks
by: Luo, Jianwen, et al.
Published: (2025)

Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning
by: Cheng, Qianjia, et al.
Published: (2026)

The Evolution of Tool Use in LLM Agents: From Single-Tool Call to Multi-Tool Orchestration
by: Xu, Haoyuan, et al.
Published: (2026)

RefTool: Reference-Guided Tool Creation for Knowledge-Intensive Reasoning
by: Liu, Xiao, et al.
Published: (2025)

StepTool: Enhancing Multi-Step Tool Usage in LLMs via Step-Grained Reinforcement Learning
by: Yu, Yuanqing, et al.
Published: (2024)

Implicit Hierarchical GRPO: Decoupling Tool Invocation from Execution for Tool-Integrated Mathematical Reasoning
by: Wang, Li, et al.
Published: (2026)

Chain-of-Tools: Utilizing Massive Unseen Tools in the CoT Reasoning of Frozen Language Models
by: Wu, Mengsong, et al.
Published: (2025)

START: Self-taught Reasoner with Tools
by: Li, Chengpeng, et al.
Published: (2025)

AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning
by: Wu, Shirley, et al.
Published: (2024)

PEARL: Plan Exploration and Adaptive Reinforcement Learning for Multihop Tool Use
by: Wang, Qihao, et al.
Published: (2026)

Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
by: Zhang, Shaokun, et al.
Published: (2025)

ToolMem: Enhancing Multimodal Agents with Learnable Tool Capability Memory
by: Xiao, Yunzhong, et al.
Published: (2025)

DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning
by: Sivakumaran, Nithin, et al.
Published: (2025)

Tool-Augmented Reward Modeling
by: Li, Lei, et al.
Published: (2023)

SciAgentGym: Benchmarking Multi-Step Scientific Tool-use in LLM Agents
by: Shen, Yujiong, et al.
Published: (2026)

TRACER: Verifiable Generative Provenance for Multimodal Tool-Using Agents
by: Yu, Bihui, et al.
Published: (2026)

MATRIX: Multimodal Agent Tuning for Robust Tool-Use Reasoning
by: Ashraf, Tajamul, et al.
Published: (2025)