PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents.
Simeng SunYang LiuShuohang WangDan IterChenguang ZhuMohit IyyerPublished in: EACL (1) (2024)
Keyphrases
- language model
- document retrieval
- ad hoc information retrieval
- information retrieval
- document ranking
- vector space model
- query terms
- language modeling
- document representation
- language modeling approaches
- document level
- passage retrieval
- statistical language models
- relevance model
- retrieval model
- n gram
- test collection
- relevant documents
- ir models
- query expansion
- document length
- probabilistic model
- language modelling
- query specific
- pseudo feedback
- term dependencies
- probabilistic retrieval models
- document collections
- inter document similarities
- multiword
- context sensitive
- expert finding
- retrieval effectiveness
- speech recognition
- information retrieval systems
- text retrieval
- smoothing methods
- retrieved documents
- pseudo relevance feedback
- text documents
- language modeling framework
- term frequency
- expert search
- language models for information retrieval
- average precision
- retrieval systems
- web documents
- statistical language modeling
- spoken term detection
- sentence retrieval
- xml retrieval
- document clustering
- semantic information
- xml documents