PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents.
Simeng SunYang LiuShuohang WangChenguang ZhuMohit IyyerPublished in: CoRR (2023)
Keyphrases
- language model
- document retrieval
- ad hoc information retrieval
- query terms
- information retrieval
- vector space model
- document representation
- document ranking
- language modeling
- document level
- language modeling approaches
- statistical language models
- relevance model
- retrieval model
- speech recognition
- n gram
- passage retrieval
- term dependencies
- probabilistic model
- document collections
- query expansion
- test collection
- query specific
- document length
- pseudo feedback
- relevant documents
- ir models
- information retrieval systems
- inter document similarities
- web documents
- probabilistic retrieval models
- language modelling
- multiword
- retrieved documents
- context sensitive
- smoothing methods
- retrieval effectiveness
- language modeling framework
- language models for information retrieval
- tf idf
- text retrieval
- text documents
- xml documents
- term weights
- ad hoc retrieval
- term frequency
- question answering
- keywords
- bayesian networks