Aligning the Capabilities of Large Language Models with the Context of Information Retrieval via Contrastive Feedback.
Qian DongYiding LiuQingyao AiZhijing WuHaitao LiYiqun LiuShuaiqiang WangDawei YinShaoping MaPublished in: CoRR (2023)
Keyphrases
- language model
- information retrieval
- language modeling
- context sensitive
- retrieval model
- document retrieval
- vector space model
- query expansion
- n gram
- probabilistic model
- test collection
- speech recognition
- language modelling
- statistical language models
- ir models
- document length
- relevance feedback
- query terms
- language models for information retrieval
- ad hoc information retrieval
- information retrieval systems
- co occurrence
- probabilistic retrieval models
- translation model
- text retrieval
- document ranking
- pseudo relevance feedback
- query specific
- smoothing methods
- tf idf
- retrieval effectiveness
- okapi bm
- document collections
- statistical language modeling
- information extraction
- search engine