Image de couverture de livre

AutoTool: Automatic Scaling of Tool-Use Capabilities in RL via Decoupled Entropy Constraints

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zeng, Yirong, Ding, Xiao, Liu, Yufei, Wang, Yuxian, Du, Qunyao, Hou, Yutai, Ning, Wu, Song, Haonan, Tang, Duyu, Tu, Dandan, Qin, Bing, Liu, Ting
Format:	Preprint
Publié:	2026
Sujets:	Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use
par: Zeng, Yirong, et autres
Publié: (2025)

Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch
par: Zeng, Yirong, et autres
Publié: (2025)

The Tool-Overuse Illusion: Why Does LLM Prefer External Tools over Internal Knowledge?
par: Zeng, Yirong, et autres
Publié: (2026)

AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning
par: Zou, Jiaru, et autres
Publié: (2025)

AutoTool: Efficient Tool Selection for Large Language Model Agents
par: Jia, Jingyi, et autres
Publié: (2025)

Precision over Diversity: High-Precision Reward Generalizes to Robust Instruction Following
par: Zeng, Yirong, et autres
Publié: (2026)

The Evolution of Tool Use in LLM Agents: From Single-Tool Call to Multi-Tool Orchestration
par: Xu, Haoyuan, et autres
Publié: (2026)

ToolACE: Winning the Points of LLM Function Calling
par: Liu, Weiwen, et autres
Publié: (2024)

CoVe: Training Interactive Tool-Use Agents via Constraint-Guided Verification
par: Chen, Jinpeng, et autres
Publié: (2026)

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

DeepTool: Scaling Interleaved Deliberation in Tool-Integrated Reasoning via Process-Supervised Reinforcement Learning
par: He, Yang, et autres
Publié: (2026)

ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution
par: Huang, Xu, et autres
Publié: (2025)

Self-Route: Automatic Mode Switching via Capability Estimation for Efficient Reasoning
par: He, Yang, et autres
Publié: (2025)

Concise and Precise Context Compression for Tool-Using Language Models
par: Xu, Yang, et autres
Publié: (2024)

Tool-as-Interface: Learning Robot Policies from Observing Human Tool Use
par: Chen, Haonan, et autres
Publié: (2025)

Is PRM Necessary? Problem-Solving RL Implicitly Induces PRM Capability in LLMs
par: Feng, Zhangying, et autres
Publié: (2025)

ToRL: Scaling Tool-Integrated RL
par: Li, Xuefeng, et autres
Publié: (2025)

Safety Geometry Collapse in Multimodal LLMs and Adaptive Drift Correction
par: Guo, Jiahe, et autres
Publié: (2026)

ToolRM: Towards Agentic Tool-Use Reward Modeling
par: Li, Renhao, et autres
Publié: (2025)

Enhancing Non-English Capabilities of English-Centric Large Language Models through Deep Supervision Fine-Tuning
par: Huo, Wenshuai, et autres
Publié: (2025)

ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities
par: Lu, Jiarui, et autres
Publié: (2024)

ToolMATH: A Diagnostic Benchmark for Long-Horizon Tool Use under Systematic Tool-Catalog Constraints
par: Choi, Hyeonje, et autres
Publié: (2026)

ToolRL: Reward is All Tool Learning Needs
par: Qian, Cheng, et autres
Publié: (2025)

AutoFL: A Tool for Automatic Multi-granular Labelling of Software Repositories
par: Sas, Cezar, et autres
Publié: (2024)

Advancing SLM Tool-Use Capability using Reinforcement Learning
par: Paprunia, Dhruvi, et autres
Publié: (2025)

ToolBridge: An Open-Source Dataset to Equip LLMs with External Tool Capabilities
par: Jin, Zhenchao, et autres
Publié: (2024)

Factored Agents: Decoupling In-Context Learning and Memorization for Robust Tool Use
par: Roth, Nicholas, et autres
Publié: (2025)

ToolLibGen: Scalable Automatic Tool Creation and Aggregation for LLM Reasoning
par: Yue, Murong, et autres
Publié: (2025)

Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use
par: Goldie, Anna, et autres
Publié: (2025)

Ensuring Consistency for In-Image Translation
par: Fu, Chengpeng, et autres
Publié: (2024)

Enabling Extensible Embodied Capabilities with Tools
par: Zhou, Xueyang, et autres
Publié: (2026)

ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
par: Feng, Jiazhan, et autres
Publié: (2025)

BioTool: A Comprehensive Tool-Calling Dataset for Enhancing Biomedical Capabilities of Large Language Models
par: Gao, Xin, et autres
Publié: (2026)

ToolVQA: A Dataset for Multi-step Reasoning VQA with External Tools
par: Yin, Shaofeng, et autres
Publié: (2025)

On Effectiveness and Efficiency of Agentic Tool-calling and RL Training
par: Liu, Tong, et autres
Publié: (2026)

Process-Supervised Reinforcement Learning for Interactive Multimodal Tool-Use Agents
par: Tan, Weiting, et autres
Publié: (2025)

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

EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RL
par: Xu, Minrui, et autres
Publié: (2026)

Decoupling Data and Tooling in Interactive Visualization
par: Simson, Jan
Publié: (2025)

LangGPS: Language Separability Guided Data Pre-Selection for Joint Multilingual Instruction Tuning
par: Ye, Yangfan, et autres
Publié: (2025)