Skip to content
Universidad del Mar SIBUMAR Descubridor Institucional UMAR
  • Inicio
  • Búsqueda avanzada
  • Explorar
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Advanced
  • xLAM: A Family of Large Action Models to Empower AI Agent Systems
Cover Image

xLAM: A Family of Large Action Models to Empower AI Agent Systems

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Zhang, Jianguo, Lan, Tian, Zhu, Ming, Liu, Zuxin, Hoang, Thai, Kokane, Shirley, Yao, Weiran, Tan, Juntao, Prabhakar, Akshara, Chen, Haolin, Liu, Zhiwei, Feng, Yihao, Awalgaonkar, Tulika, Murthy, Rithesh, Hu, Eric, Chen, Zeyuan, Xu, Ran, Niebles, Juan Carlos, Heinecke, Shelby, Wang, Huan, Savarese, Silvio, Xiong, Caiming
Format: Preprint
Published: 2024
Subjects:
Computation and Language
Artificial Intelligence
Machine Learning
Online Access:
Acceder al recurso
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Save to List
  • Permanent link
  • Holdings
  • Description
  • Comments
  • Similar Items
  • Staff View

Internet

https://arxiv.org/abs/2409.03215

Similar Items

  • ToolScan: A Benchmark for Characterizing Errors in Tool-Use LLMs
    by: Kokane, Shirley, et al.
    Published: (2024)
  • PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data
    by: Tan, Juntao, et al.
    Published: (2025)
  • AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning
    by: Zhang, Jianguo, et al.
    Published: (2024)
  • ActionStudio: A Lightweight Framework for Data and Training of Large Action Models
    by: Zhang, Jianguo, et al.
    Published: (2025)
  • APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay
    by: Prabhakar, Akshara, et al.
    Published: (2025)
Universidad del Mar
Universidad del MarSistema Bibliotecario de la Universidad del MarDescubridor Institucional UMARImplementación y desarrollo: Mtro. Carlos Alonso Albores Pérez
InicioBúsqueda avanzadaExplorar
Visitas al Descubridor: 33,245© 2026 Universidad del Mar