TrustLLM: Trustworthiness in Large Language Models.
Lichao SunYue HuangHaoran WangSiyuan WuQihui ZhangChujie GaoYixin HuangWenhan LyuYixuan ZhangXiner LiZhengliang LiuYixin LiuYijue WangZhikun ZhangBhavya KailkhuraCaiming XiongChao ZhangChaowei XiaoChunyuan LiEric P. XingFurong HuangHao LiuHeng JiHongyi WangHuan ZhangHuaxiu YaoManolis KellisMarinka ZitnikMeng JiangMohit BansalJames ZouJian PeiJian LiuJianfeng GaoJiawei HanJieyu ZhaoJiliang TangJindong WangJohn MitchellKai ShuKaidi XuKai-Wei ChangLifang HeLifu HuangMichael BackesNeil Zhenqiang GongPhilip S. YuPin-Yu ChenQuanquan GuRan XuRex YingShuiwang JiSuman JanaTianlong ChenTianming LiuTianyi ZhouWilliam WangXiang LiXiangliang ZhangXiao WangXing XieXun ChenXuyu WangYan LiuYanfang YeYinzhi CaoYue ZhaoPublished in: CoRR (2024)
Keyphrases
- language model
- language modeling
- n gram
- probabilistic model
- document retrieval
- information retrieval
- retrieval model
- ad hoc information retrieval
- query expansion
- vector space model
- language models for information retrieval
- language modelling
- speech recognition
- test collection
- query terms
- statistical language models
- language model for information retrieval
- context sensitive
- translation model
- word error rate
- pseudo relevance feedback
- relevance model
- term dependencies
- smoothing methods
- okapi bm