MetaTool: Facilitating Large Language Models to Master Tools with Meta-task Augmentation
Fuente:
arXiv
Guardado en:
| Autores principales: | Wang, Xiaohan, Li, Dian, Zhao, Yilin, Sinbadliu, Wang, Hui |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Meta-Tool: Efficient Few-Shot Tool Adaptation for Small Language Models
por: Kumar, Sachin
Publicado: (2026)
por: Kumar, Sachin
Publicado: (2026)
Large Language Models as Tool Makers
por: Cai, Tianle, et al.
Publicado: (2023)
por: Cai, Tianle, et al.
Publicado: (2023)
Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees
por: Chen, Sijia, et al.
Publicado: (2024)
por: Chen, Sijia, et al.
Publicado: (2024)
Dynamic Evaluation of Large Language Models by Meta Probing Agents
por: Zhu, Kaijie, et al.
Publicado: (2024)
por: Zhu, Kaijie, et al.
Publicado: (2024)
AgentMath: Empowering Mathematical Reasoning for Large Language Models via Tool-Augmented Agent
por: Luo, Haipeng, et al.
Publicado: (2025)
por: Luo, Haipeng, et al.
Publicado: (2025)
Tool Unlearning for Tool-Augmented LLMs
por: Cheng, Jiali, et al.
Publicado: (2025)
por: Cheng, Jiali, et al.
Publicado: (2025)
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use
por: Huang, Yue, et al.
Publicado: (2023)
por: Huang, Yue, et al.
Publicado: (2023)
LLM4Causal: Democratized Causal Tools for Everyone via Large Language Model
por: Jiang, Haitao, et al.
Publicado: (2023)
por: Jiang, Haitao, et al.
Publicado: (2023)
Model-diff: A Tool for Comparative Study of Language Models in the Input Space
por: Liu, Weitang, et al.
Publicado: (2024)
por: Liu, Weitang, et al.
Publicado: (2024)
LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations
por: Wang, Qianli, et al.
Publicado: (2024)
por: Wang, Qianli, et al.
Publicado: (2024)
ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool Learning
por: Zeng, Xingshan, et al.
Publicado: (2025)
por: Zeng, Xingshan, et al.
Publicado: (2025)
Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger
por: Li, Wenjun, et al.
Publicado: (2025)
por: Li, Wenjun, et al.
Publicado: (2025)
Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models
por: Luo, Zheng, et al.
Publicado: (2026)
por: Luo, Zheng, et al.
Publicado: (2026)
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models
por: Wen, Yilin, et al.
Publicado: (2023)
por: Wen, Yilin, et al.
Publicado: (2023)
Tool Learning with Foundation Models
por: Qin, Yujia, et al.
Publicado: (2023)
por: Qin, Yujia, et al.
Publicado: (2023)
To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization
por: Wang, Haozhe, et al.
Publicado: (2025)
por: Wang, Haozhe, et al.
Publicado: (2025)
Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Models
por: Golchin, Shahriar, et al.
Publicado: (2023)
por: Golchin, Shahriar, et al.
Publicado: (2023)
Meta-Reasoning Improves Tool Use in Large Language Models
por: Alazraki, Lisa, et al.
Publicado: (2024)
por: Alazraki, Lisa, et al.
Publicado: (2024)
Evaluating Tool-Augmented Agents in Remote Sensing Platforms
por: Singh, Simranjit, et al.
Publicado: (2024)
por: Singh, Simranjit, et al.
Publicado: (2024)
Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use
por: Chen, Yuhan, et al.
Publicado: (2023)
por: Chen, Yuhan, et al.
Publicado: (2023)
ToolRL: Reward is All Tool Learning Needs
por: Qian, Cheng, et al.
Publicado: (2025)
por: Qian, Cheng, et al.
Publicado: (2025)
Diversity-oriented Data Augmentation with Large Language Models
por: Wang, Zaitian, et al.
Publicado: (2025)
por: Wang, Zaitian, et al.
Publicado: (2025)
What Level of Automation is "Good Enough"? A Benchmark of Large Language Models for Meta-Analysis Data Extraction
por: Li, Lingbo, et al.
Publicado: (2025)
por: Li, Lingbo, et al.
Publicado: (2025)
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
por: Wang, Xingyao, et al.
Publicado: (2023)
por: Wang, Xingyao, et al.
Publicado: (2023)
Meta-Semantics Augmented Few-Shot Relational Learning
por: Wu, Han, et al.
Publicado: (2025)
por: Wu, Han, et al.
Publicado: (2025)
Meta-Sel: Efficient Demonstration Selection for In-Context Learning via Supervised Meta-Learning
por: Wang, Xubin, et al.
Publicado: (2026)
por: Wang, Xubin, et al.
Publicado: (2026)
LLMSurgeon: Diagnosing Data Mixture of Large Language Models
por: Luo, Yaxin, et al.
Publicado: (2026)
por: Luo, Yaxin, et al.
Publicado: (2026)
GPTQT: Quantize Large Language Models Twice to Push the Efficiency
por: Guo, Yipin, et al.
Publicado: (2024)
por: Guo, Yipin, et al.
Publicado: (2024)
Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation
por: Zhu, Dongsheng, et al.
Publicado: (2025)
por: Zhu, Dongsheng, et al.
Publicado: (2025)
On-device System of Compositional Multi-tasking in Large Language Models
por: Bohdal, Ondrej, et al.
Publicado: (2025)
por: Bohdal, Ondrej, et al.
Publicado: (2025)
Efficient Compositional Multi-tasking for On-device Large Language Models
por: Bohdal, Ondrej, et al.
Publicado: (2025)
por: Bohdal, Ondrej, et al.
Publicado: (2025)
EMSEdit: Efficient Multi-Step Meta-Learning-based Model Editing
por: Li, Xiaopeng, et al.
Publicado: (2025)
por: Li, Xiaopeng, et al.
Publicado: (2025)
MetaScale: Test-Time Scaling with Evolving Meta-Thoughts
por: Liu, Qin, et al.
Publicado: (2025)
por: Liu, Qin, et al.
Publicado: (2025)
MPO: Boosting LLM Agents with Meta Plan Optimization
por: Xiong, Weimin, et al.
Publicado: (2025)
por: Xiong, Weimin, et al.
Publicado: (2025)
Tool Calling is Linearly Readable and Steerable in Language Models
por: Wu, Zekun, et al.
Publicado: (2026)
por: Wu, Zekun, et al.
Publicado: (2026)
A Meta-Learning Perspective on Transformers for Causal Language Modeling
por: Wu, Xinbo, et al.
Publicado: (2023)
por: Wu, Xinbo, et al.
Publicado: (2023)
ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities
por: Lu, Jiarui, et al.
Publicado: (2024)
por: Lu, Jiarui, et al.
Publicado: (2024)
LEIA: Facilitating Cross-lingual Knowledge Transfer in Language Models with Entity-based Data Augmentation
por: Yamada, Ikuya, et al.
Publicado: (2024)
por: Yamada, Ikuya, et al.
Publicado: (2024)
Many-to-English Machine Translation Tools, Data, and Pretrained Models
por: Gowda, Thamme, et al.
Publicado: (2021)
por: Gowda, Thamme, et al.
Publicado: (2021)
Tools Fail: Detecting Silent Errors in Faulty Tools
por: Sun, Jimin, et al.
Publicado: (2024)
por: Sun, Jimin, et al.
Publicado: (2024)
Ejemplares similares
-
Meta-Tool: Efficient Few-Shot Tool Adaptation for Small Language Models
por: Kumar, Sachin
Publicado: (2026) -
Large Language Models as Tool Makers
por: Cai, Tianle, et al.
Publicado: (2023) -
Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees
por: Chen, Sijia, et al.
Publicado: (2024) -
Dynamic Evaluation of Large Language Models by Meta Probing Agents
por: Zhu, Kaijie, et al.
Publicado: (2024) -
AgentMath: Empowering Mathematical Reasoning for Large Language Models via Tool-Augmented Agent
por: Luo, Haipeng, et al.
Publicado: (2025)