ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios.
Junjie YeGuanyu LiSongyang GaoCaishuang HuangYilong WuSixian LiXiaoran FanShihan DouQi ZhangTao GuiXuanjing HuangPublished in: CoRR (2024)
Keyphrases
- fine grained
- language model
- learning capabilities
- language modeling
- coarse grained
- probabilistic model
- document retrieval
- n gram
- retrieval model
- access control
- query expansion
- learning mechanism
- test collection
- language models for information retrieval
- information retrieval
- neural network
- learning strategies
- query terms
- fuzzy systems
- genetic algorithm
- data mining
- smoothing methods
- co occurrence
- input output
- learning process
- multi agent systems
- neuro fuzzy
- bayesian networks
- fuzzy neural network
- document ranking