Skip to content
VuFind
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Advanced
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Save to List
  • Permanent link
Cover Image

Saved in:
Bibliographic Details
Main Authors: Ye, Junjie, Huang, Caishuang, Chen, Zhuohan, Fu, Wenjie, Yang, Chenyuan, Yang, Leyi, Wu, Yilong, Wang, Peng, Zhou, Meng, Yang, Xiaolong, Gui, Tao, Zhang, Qi, Shi, Zhongchao, Fan, Jianping, Huang, Xuanjing
Format: Preprint
Published: 2025
Subjects:
Computation and Language
Artificial Intelligence
Online Access:https://arxiv.org/abs/2505.07591
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Holdings
  • Description
  • Table of Contents
  • Comments
  • Similar Items
  • Staff View

Internet

https://arxiv.org/abs/2505.07591

Similar Items

  • 60 Data Points are Sufficient to Fine-Tune LLMs for Question-Answering
    by: Ye, Junjie, et al.
    Published: (2024)
  • CCTU: A Benchmark for Tool Use under Complex Constraints
    by: Ye, Junjie, et al.
    Published: (2026)
  • ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages
    by: Ye, Junjie, et al.
    Published: (2024)
  • Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels
    by: Ye, Junjie, et al.
    Published: (2025)
  • RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning
    by: Ye, Junjie, et al.
    Published: (2024)

Search Options

  • Search History
  • Advanced Search

Find More

  • Browse the Catalog
  • Browse Alphabetically
  • Explore Channels
  • Course Reserves
  • New Items

Need Help?

  • Search Tips
  • Ask a Librarian
  • FAQs