RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models.
Noah WangZ. y. PengHaoran QueJiaheng LiuWangchunshu ZhouYuhan WuHongcheng GuoRuitong GanZehao NiJian YangMan ZhangZhaoxiang ZhangWanli OuyangKe XuWenhao HuangJie FuJunran PengPublished in: ACL (Findings) (2024)
Keyphrases
- language model
- role playing
- language modeling
- probabilistic model
- document retrieval
- information retrieval
- language modelling
- n gram
- speech recognition
- retrieval model
- test collection
- smoothing methods
- query expansion
- relevance model
- translation model
- document ranking
- ad hoc information retrieval
- query terms
- context sensitive
- document length
- okapi bm
- language model for information retrieval
- term dependencies
- pseudo relevance feedback