Imagen de Portada

Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhu, Dongsheng, Shi, Weixian, Shi, Zhengliang, Ren, Zhaochun, Wang, Shuaiqiang, Yan, Lingyong, Yin, Dawei
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models
por: Shi, Zhengliang, et al.
Publicado: (2025)

Joint Flashback Adaptation for Forgetting-Resistant Instruction Tuning
por: Zhao, Yukun, et al.
Publicado: (2025)

Learning to Use Tools via Cooperative and Interactive Agents
por: Shi, Zhengliang, et al.
Publicado: (2024)

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
por: Lyu, Yougang, et al.
Publicado: (2024)

Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents
por: Shi, Zhengliang, et al.
Publicado: (2024)

Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method
por: Zhao, Yukun, et al.
Publicado: (2023)

CodeTool: Enhancing Programmatic Tool Invocation of LLMs via Process Supervision
por: Lu, Yifei, et al.
Publicado: (2025)

Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization
por: Wu, Jiulong, et al.
Publicado: (2025)

MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization
por: Lyu, Yougang, et al.
Publicado: (2024)

GRAF: Multi-turn Jailbreaking via Global Refinement and Active Fabrication
por: Tang, Hua, et al.
Publicado: (2025)

The Real, the Better: Aligning Large Language Models with Online Human Behaviors
por: Jiang, Guanying, et al.
Publicado: (2024)

MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching
por: Qu, Changle, et al.
Publicado: (2026)

Advancing and Benchmarking Personalized Tool Invocation for LLMs
por: Huang, Xu, et al.
Publicado: (2025)

What Affects the Stability of Tool Learning? An Empirical Study on the Robustness of Tool Learning Frameworks
por: Huang, Chengrui, et al.
Publicado: (2024)

Reinforced Efficient Reasoning via Semantically Diverse Exploration
por: Zhao, Ziqi, et al.
Publicado: (2026)

Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers
por: Shi, Zhengliang, et al.
Publicado: (2025)

Tool Learning with Large Language Models: A Survey
por: Qu, Changle, et al.
Publicado: (2024)

PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization
por: Wu, Jiayi, et al.
Publicado: (2024)

Do LLMs Know Tool Irrelevance? Demystifying Structural Alignment Bias in Tool Invocations
por: Liu, Yilong, et al.
Publicado: (2026)

From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions
por: Qu, Changle, et al.
Publicado: (2024)

ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration
por: Su, Hongjin, et al.
Publicado: (2025)

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

Tool Learning with Foundation Models
por: Qin, Yujia, et al.
Publicado: (2023)

An LLM-Tool Compiler for Fused Parallel Function Calling
por: Singh, Simranjit, et al.
Publicado: (2024)

ToolRL: Reward is All Tool Learning Needs
por: Qian, Cheng, et al.
Publicado: (2025)

PLAY2PROMPT: Zero-shot Tool Instruction Optimization for LLM Agents via Tool Play
por: Fang, Wei, et al.
Publicado: (2025)

Meta-Tool: Efficient Few-Shot Tool Adaptation for Small Language Models
por: Kumar, Sachin
Publicado: (2026)

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

Tool Unlearning for Tool-Augmented LLMs
por: Cheng, Jiali, et al.
Publicado: (2025)

ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool Learning
por: Zeng, Xingshan, et al.
Publicado: (2025)

A Toolbox, Not a Hammer -- Multi-TAG: Scaling Math Reasoning with Multi-Tool Aggregation
por: Yao, Bohan, et al.
Publicado: (2025)

Exploring Memorization in Fine-tuned Language Models
por: Zeng, Shenglai, et al.
Publicado: (2023)

Efficient and Scalable Estimation of Tool Representations in Vector Space
por: Moon, Suhong, et al.
Publicado: (2024)

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

Tools Fail: Detecting Silent Errors in Faulty Tools
por: Sun, Jimin, et al.
Publicado: (2024)

Evaluating Implicit Regulatory Compliance in LLM Tool Invocation via Logic-Guided Synthesis
por: Song, Da, et al.
Publicado: (2026)

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
por: Sun, Weiwei, et al.
Publicado: (2023)

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

Generalizable End-to-End Tool-Use RL with Synthetic CodeGym
por: Du, Weihua, et al.
Publicado: (2025)

Distilling a Small Utility-Based Passage Selector to Enhance Retrieval-Augmented Generation
por: Zhang, Hengran, et al.
Publicado: (2025)