MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues.
Ge BaiJie LiuXingyuan BuYancheng HeJiaheng LiuZhanhui ZhouZhuoran LinWenbo SuTiezheng GeBo ZhengWanli OuyangPublished in: ACL (1) (2024)
Keyphrases
- fine grained
- language model
- language modeling
- coarse grained
- probabilistic model
- n gram
- speech recognition
- document retrieval
- information retrieval
- access control
- query expansion
- language modelling
- statistical language models
- test collection
- retrieval model
- context sensitive
- smoothing methods
- vector space model
- machine translation
- relevance model
- translation model
- language models for information retrieval
- pseudo relevance feedback
- document ranking