LeanDojo: Theorem Proving with Retrieval-Augmented Language Models.
Kaiyu YangAidan M. SwopeAlex GuRahul ChalamalaPeiyang SongShixing YuSaad GodilRyan J. PrengerAnimashree AnandkumarPublished in: NeurIPS (2023)
Keyphrases
- retrieval accuracy
- language model
- theorem proving
- pseudo relevance feedback
- document retrieval
- language modeling
- query expansion
- retrieval model
- parallel search
- first order logic
- n gram
- probabilistic model
- language modelling
- inference rules
- pseudo feedback
- theorem prover
- test collection
- proof planning
- ad hoc information retrieval
- relevance model
- query terms
- speech recognition
- ad hoc retrieval
- information retrieval
- language models for information retrieval
- consequence finding
- geometry theorem proving
- statistical language models
- smoothing methods
- document ranking
- query specific
- okapi bm
- document level
- retrieval effectiveness
- inter document similarities
- information retrieval systems
- knowledge representation
- document length
- term dependencies
- statistical language modeling
- vector space model