Image de couverture de livre

ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ye, Junjie, Du, Zhengyin, Yao, Xuesong, Lin, Weijian, Xu, Yufei, Chen, Zehui, Wang, Zaiyuan, Zhu, Sining, Xi, Zhiheng, Yuan, Siyu, Gui, Tao, Zhang, Qi, Huang, Xuanjing, Chen, Jiecao
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments
par: Ye, Junjie, et autres
Publié: (2025)

Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training
par: Yuan, Siyu, et autres
Publié: (2025)

TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use
par: Ye, Junjie, et autres
Publié: (2024)

CCTU: A Benchmark for Tool Use under Complex Constraints
par: Ye, Junjie, et autres
Publié: (2026)

Critique-RL: Training Language Models for Critiquing through Two-Stage Reinforcement Learning
par: Xi, Zhiheng, et autres
Publié: (2025)

Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems?
par: Yan, Kai, et autres
Publié: (2025)

Generalizable End-to-End Tool-Use RL with Synthetic CodeGym
par: Du, Weihua, et autres
Publié: (2025)

FinToolSyn: A forward synthesis Framework for Financial Tool-Use Dialogue Data with Dynamic Tool Retrieval
par: Huang, Caishuang, et autres
Publié: (2026)

MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries
par: Tang, Yixuan, et autres
Publié: (2024)

AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning
par: Xi, Zhiheng, et autres
Publié: (2025)

FamilyTool: A Multi-hop Personalized Tool Use Benchmark
par: Wang, Yuxin, et autres
Publié: (2025)

LongReason: A Synthetic Long-Context Reasoning Benchmark via Context Expansion
par: Ling, Zhan, et autres
Publié: (2025)

ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages
par: Ye, Junjie, et autres
Publié: (2024)

M^3-Bench: Multi-Modal, Multi-Hop, Multi-Threaded Tool-Using MLLM Agent Benchmark
par: Zhou, Yang, et autres
Publié: (2025)

RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning
par: Ye, Junjie, et autres
Publié: (2024)

Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries
par: Biran, Eden, et autres
Publié: (2024)

HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation
par: Liu, Hao, et autres
Publié: (2025)

From Query to Logic: Ontology-Driven Multi-Hop Reasoning in LLMs
par: Bian, Haonan, et autres
Publié: (2025)

ToolCUA: Towards Optimal GUI-Tool Path Orchestration for Computer Use Agents
par: Hu, Xuhao, et autres
Publié: (2026)

ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios
par: Ye, Junjie, et autres
Publié: (2024)

HopGNN: Boosting Distributed GNN Training Efficiency via Feature-Centric Model Migration
par: Chen, Weijian, et autres
Publié: (2024)

CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios
par: Huang, Shiting, et autres
Publié: (2025)

VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use
par: Jiang, Dongfu, et autres
Publié: (2025)

ToolForge: A Data Synthesis Pipeline for Multi-Hop Search without Real-World APIs
par: Chen, Hao, et autres
Publié: (2025)

All-Hops Shortest Paths
par: Williams, Virginia Vassilevska, et autres
Publié: (2024)

ConRAG: Consensus-Driven Multi-View Retrieval for Multi-Hop Question Answering
par: Zhu, Yikai, et autres
Publié: (2026)

BioHopR: A Benchmark for Multi-Hop, Multi-Answer Reasoning in Biomedical Domain
par: Kim, Yunsoo, et autres
Publié: (2025)

STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction
par: Wu, Dennis, et autres
Publié: (2023)

MatTools: Benchmarking Large Language Models for Materials Science Tools
par: Liu, Siyu, et autres
Publié: (2025)

Query, Decompose, Compress: Structured Query Expansion for Efficient Multi-Hop Retrieval
par: Yun, JungMin, et autres
Publié: (2026)

Rethinking Stateful Tool Use in Multi-Turn Dialogues: Benchmarks and Challenges
par: Wang, Hongru, et autres
Publié: (2025)

HopChain: Multi-Hop Data Synthesis for Generalizable Vision-Language Reasoning
par: Wang, Shenzhi, et autres
Publié: (2026)

Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals
par: Zheng, Rui, et autres
Publié: (2024)

Multipath Routing for Multi-Hop UAV Networks
par: Zhao, Zhenyu, et autres
Publié: (2026)

SciAgentGym: Benchmarking Multi-Step Scientific Tool-use in LLM Agents
par: Shen, Yujiong, et autres
Publié: (2026)

HipHop
Publié: (2020)

Batch Hop-Constrained s-t Simple Path Query Processing in Large Graphs
par: Yuan, Long, et autres
Publié: (2023)

One-Hop Sub-Query Result Caches for Graph Database Systems
par: Nguyen, Hieu, et autres
Publié: (2024)

Data-Efficient Massive Tool Retrieval: A Reinforcement Learning Approach for Query-Tool Alignment with Language Models
par: Zhang, Yuxiang, et autres
Publié: (2024)

SpecHop: Continuous Speculation for Accelerating Multi-Hop Retrieval Agents
par: Saberi, Mehrdad, et autres
Publié: (2026)