Cover Image

ToolSample: Dual Dynamic Sampling Methods with Curriculum Learning for RL-based Tool Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Feng, Zihao, Wang, Xiaoxue, Wu, Bowen, Cao, Hailong, Zhao, Tiejun, Yu, Qun, Wang, Baoxun
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving Generalization in Intent Detection: GRPO with Reward-Based Curriculum Sampling
by: Feng, Zihao, et al.
Published: (2025)

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

AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting
by: Li, Renda, et al.
Published: (2025)

DUMP: Automated Distribution-Level Curriculum Learning for RL-based LLM Post-training
by: Wang, Zhenting, et al.
Published: (2025)

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy
by: Feng, Zihao, et al.
Published: (2025)

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

ResRL: Boosting LLM Reasoning via Negative Sample Projection Residual Reinforcement Learning
by: Lin, Zihan, et al.
Published: (2026)

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

RAIDEN-R1: Improving Role-awareness of LLMs via GRPO with Verifiable Reward
by: Wang, Zongsheng, et al.
Published: (2025)

Learning to Reason as Action Abstractions with Scalable Mid-Training RL
by: Zhang, Shenao, et al.
Published: (2025)

ToolExpander: Extending the Frontiers of Tool-Using Reinforcement Learning to Weak LLMs
by: Chen, Fu, et al.
Published: (2025)

Tool Learning with Foundation Models
by: Qin, Yujia, et al.
Published: (2023)

AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning
by: Zou, Jiaru, et al.
Published: (2025)

Enhancing Large Language Models'Machine Translation via Dynamic Focus Anchoring
by: Ding, Qiuyu, et al.
Published: (2025)

Speculative Decoding Meets Quantization: Compatibility Evaluation and Hierarchical Framework Design
by: Zhang, Yudi, et al.
Published: (2025)

Learning Harmonized Representations for Speculative Sampling
by: Zhang, Lefan, et al.
Published: (2024)

LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error
by: Wang, Boshi, et al.
Published: (2024)

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL
by: Wang, Shaobo, et al.
Published: (2026)

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

VCRL: Variance-based Curriculum Reinforcement Learning for Large Language Models
by: Jiang, Guochao, et al.
Published: (2025)

MetaTool: Facilitating Large Language Models to Master Tools with Meta-task Augmentation
by: Wang, Xiaohan, et al.
Published: (2024)

Are Tools Always Beneficial? Learning to Invoke Tools Adaptively for Dual-Mode Multimodal LLM Reasoning
by: Ma, Qinghe, et al.
Published: (2026)

CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding
by: Liu, Yang, et al.
Published: (2024)

Mirage or Method? How Model-Task Alignment Induces Divergent RL Conclusions
by: Wu, Haoze, et al.
Published: (2025)

EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RL
by: Xu, Minrui, et al.
Published: (2026)

PromptAL: Sample-Aware Dynamic Soft Prompts for Few-Shot Active Learning
by: Xiang, Hui, et al.
Published: (2025)

ToolACE: Winning the Points of LLM Function Calling
by: Liu, Weiwen, et al.
Published: (2024)

Reinforcement Learning for Tool-Integrated Interleaved Thinking towards Cross-Domain Generalization
by: Chen, Zhengyu, et al.
Published: (2025)

When Sharpening Becomes Collapse: Sampling Bias and Semantic Coupling in RL with Verifiable Rewards
by: Fan, Mingyuan, et al.
Published: (2026)

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

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

Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use
by: Goldie, Anna, et al.
Published: (2025)

Cross-Domain Bilingual Lexicon Induction via Pretrained Language Models
by: Ding, Qiuyu, et al.
Published: (2025)

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

Demystifying Reinforcement Learning for Long-Horizon Tool-Using Agents: A Comprehensive Recipe
by: Wu, Xixi, et al.
Published: (2026)

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications
by: Feng, Pohsun, et al.
Published: (2024)

Interpersonal Memory Matters: A New Task for Proactive Dialogue Utilizing Conversational History
by: Wu, Bowen, et al.
Published: (2025)

ToolACE-MT: Non-Autoregressive Generation for Agentic Multi-Turn Interaction
by: Zeng, Xingshan, et al.
Published: (2025)

ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings
by: Hao, Shibo, et al.
Published: (2023)

From Failure to Mastery: Generating Hard Samples for Tool-use Agents
by: Hao, Bingguang, et al.
Published: (2026)