WTU-EVAL: A Whether-or-Not Tool Usage Evaluation Benchmark for Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Ning, Kangyun, Su, Yisong, Lv, Xueqiang, Zhang, Yuanzhe, Liu, Jian, Liu, Kang, Xu, Jinan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Dual-Space Knowledge Distillation for Large Language Models
by: Zhang, Songming, et al.
Published: (2024)
by: Zhang, Songming, et al.
Published: (2024)
CPG-EVAL: A Multi-Tiered Benchmark for Evaluating the Chinese Pedagogical Grammar Competence of Large Language Models
by: Wang, Dong
Published: (2025)
by: Wang, Dong
Published: (2025)
Multilingual Collaborative Defense for Large Language Models
by: Li, Hongliang, et al.
Published: (2025)
by: Li, Hongliang, et al.
Published: (2025)
ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph
by: Liu, Xukun, et al.
Published: (2024)
by: Liu, Xukun, et al.
Published: (2024)
A Survey on Large Language Models with Multilingualism: Recent Advances and New Frontiers
by: Huang, Kaiyu, et al.
Published: (2024)
by: Huang, Kaiyu, et al.
Published: (2024)
Finish First, Perfect Later: Test-Time Token-Level Cross-Validation for Diffusion Large Language Models
by: Tian, Runchu, et al.
Published: (2025)
by: Tian, Runchu, et al.
Published: (2025)
Progressively Label Enhancement for Large Language Model Alignment
by: Liu, Biao, et al.
Published: (2024)
by: Liu, Biao, et al.
Published: (2024)
ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models
by: Zhang, Yuxiang, et al.
Published: (2024)
by: Zhang, Yuxiang, et al.
Published: (2024)
Benchmarking Benchmark Leakage in Large Language Models
by: Xu, Ruijie, et al.
Published: (2024)
by: Xu, Ruijie, et al.
Published: (2024)
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning
by: Ye, Junjie, et al.
Published: (2024)
by: Ye, Junjie, et al.
Published: (2024)
Evaluating Quantized Large Language Models
by: Li, Shiyao, et al.
Published: (2024)
by: Li, Shiyao, et al.
Published: (2024)
EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models
by: Chen, Yuyan, et al.
Published: (2024)
by: Chen, Yuyan, et al.
Published: (2024)
MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues
by: Bai, Ge, et al.
Published: (2024)
by: Bai, Ge, et al.
Published: (2024)
QuarkMedBench: A Real-World Scenario Driven Benchmark for Evaluating Large Language Models
by: Wu, Yao, et al.
Published: (2026)
by: Wu, Yao, et al.
Published: (2026)
CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models
by: Yu, Linhao, et al.
Published: (2024)
by: Yu, Linhao, et al.
Published: (2024)
TInR: Exploring Tool-Internalized Reasoning in Large Language Models
by: Xu, Qiancheng, et al.
Published: (2026)
by: Xu, Qiancheng, et al.
Published: (2026)
PEToolLLM: Towards Personalized Tool Learning in Large Language Models
by: Xu, Qiancheng, et al.
Published: (2025)
by: Xu, Qiancheng, et al.
Published: (2025)
ToolSpectrum : Towards Personalized Tool Utilization for Large Language Models
by: Cheng, Zihao, et al.
Published: (2025)
by: Cheng, Zihao, et al.
Published: (2025)
Evaluating Large Language Models for Financial Reasoning: A CFA-Based Benchmark Study
by: Yao, Xuan, et al.
Published: (2025)
by: Yao, Xuan, et al.
Published: (2025)
Re-Initialization Token Learning for Tool-Augmented Large Language Models
by: Li, Chenghao, et al.
Published: (2025)
by: Li, Chenghao, et al.
Published: (2025)
Deep Value Benchmark: Measuring Whether Models Generalize Deep Values or Shallow Preferences
by: Ashkinaze, Joshua, et al.
Published: (2025)
by: Ashkinaze, Joshua, et al.
Published: (2025)
MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models
by: Liu, Mianxin, et al.
Published: (2024)
by: Liu, Mianxin, et al.
Published: (2024)
GLoRE: Evaluating Logical Reasoning of Large Language Models
by: liu, Hanmeng, et al.
Published: (2023)
by: liu, Hanmeng, et al.
Published: (2023)
Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models
by: Shi, Zhengliang, et al.
Published: (2025)
by: Shi, Zhengliang, et al.
Published: (2025)
Preference Orchestrator: Prompt-Aware Multi-Objective Alignment for Large Language Models
by: Liu, Biao, et al.
Published: (2025)
by: Liu, Biao, et al.
Published: (2025)
Leveraging Computerized Adaptive Testing for Cost-effective Evaluation of Large Language Models in Medical Benchmarking
by: Zheng, Tianpeng, et al.
Published: (2026)
by: Zheng, Tianpeng, et al.
Published: (2026)
TD-EVAL: Revisiting Task-Oriented Dialogue Evaluation by Combining Turn-Level Precision with Dialogue-Level Comparisons
by: Acikgoz, Emre Can, et al.
Published: (2025)
by: Acikgoz, Emre Can, et al.
Published: (2025)
Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models
by: Wei, Yifan, et al.
Published: (2024)
by: Wei, Yifan, et al.
Published: (2024)
Evaluating the Performance of Large Language Models on GAOKAO Benchmark
by: Zhang, Xiaotian, et al.
Published: (2023)
by: Zhang, Xiaotian, et al.
Published: (2023)
ShizishanGPT: An Agricultural Large Language Model Integrating Tools and Resources
by: Yang, Shuting, et al.
Published: (2024)
by: Yang, Shuting, et al.
Published: (2024)
KDFlow: A User-Friendly and Efficient Knowledge Distillation Framework for Large Language Models
by: Zhang, Songming, et al.
Published: (2026)
by: Zhang, Songming, et al.
Published: (2026)
FineMath: A Fine-Grained Mathematical Evaluation Benchmark for Chinese Large Language Models
by: Liu, Yan, et al.
Published: (2024)
by: Liu, Yan, et al.
Published: (2024)
An Empirical Analysis on Large Language Models in Debate Evaluation
by: Liu, Xinyi, et al.
Published: (2024)
by: Liu, Xinyi, et al.
Published: (2024)
Evaluating and Enhancing Large Language Models Performance in Domain-specific Medicine: Osteoarthritis Management with DocOA
by: Chen, Xi, et al.
Published: (2024)
by: Chen, Xi, et al.
Published: (2024)
LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation
by: Sun, Zengkui, et al.
Published: (2024)
by: Sun, Zengkui, et al.
Published: (2024)
VerifyBench: Benchmarking Reference-based Reward Systems for Large Language Models
by: Yan, Yuchen, et al.
Published: (2025)
by: Yan, Yuchen, et al.
Published: (2025)
A Comprehensive Evaluation of Quantization Strategies for Large Language Models
by: Jin, Renren, et al.
Published: (2024)
by: Jin, Renren, et al.
Published: (2024)
Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger
by: Li, Wenjun, et al.
Published: (2025)
by: Li, Wenjun, et al.
Published: (2025)
DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models
by: Huang, Yiming, et al.
Published: (2024)
by: Huang, Yiming, et al.
Published: (2024)
CodeApex: A Bilingual Programming Evaluation Benchmark for Large Language Models
by: Fu, Lingyue, et al.
Published: (2023)
by: Fu, Lingyue, et al.
Published: (2023)
Similar Items
-
Dual-Space Knowledge Distillation for Large Language Models
by: Zhang, Songming, et al.
Published: (2024) -
CPG-EVAL: A Multi-Tiered Benchmark for Evaluating the Chinese Pedagogical Grammar Competence of Large Language Models
by: Wang, Dong
Published: (2025) -
Multilingual Collaborative Defense for Large Language Models
by: Li, Hongliang, et al.
Published: (2025) -
ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph
by: Liu, Xukun, et al.
Published: (2024) -
A Survey on Large Language Models with Multilingualism: Recent Advances and New Frontiers
by: Huang, Kaiyu, et al.
Published: (2024)