Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?
Jinhyuk LeeAnthony ChenZhuyun DaiDheeru DuaDevendra Singh SachanMichael BoratkoYi LuanSébastien M. R. ArnoldVincent PerotSiddharth DalmiaHexiang HuXudong LinPanupong PasupatAida AminiJeremy R. ColeSebastian RiedelIftekhar NaimMing-Wei ChangKelvin GuuPublished in: CoRR (2024)
Keyphrases
- language model
- retrieval model
- document retrieval
- test collection
- query expansion
- language modeling
- context sensitive
- information retrieval
- ad hoc information retrieval
- language models for information retrieval
- query terms
- n gram
- probabilistic model
- statistical language models
- relevance model
- cross language retrieval
- smoothing methods
- document ranking
- speech recognition
- passage retrieval
- relational databases
- retrieval effectiveness
- query specific
- document length
- pseudo relevance feedback
- term dependencies
- probabilistic retrieval models
- language modelling
- document level
- text retrieval
- okapi bm
- pseudo feedback
- vector space model
- information retrieval systems
- relevant documents
- ir models
- relevance feedback
- ad hoc retrieval
- short queries
- retrieval systems
- expert finding
- image database
- statistical language modeling
- sentence retrieval
- expert search