CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory.
Zexue HeLeonid KarlinskyDonghyun KimJulian J. McAuleyDmitry KrotovRogério FerisPublished in: CoRR (2024)
Keyphrases
- language model
- associative memory
- language modeling
- storage capacity
- n gram
- probabilistic model
- speech recognition
- document retrieval
- statistical language models
- language modelling
- information retrieval
- retrieval model
- test collection
- kohonen feature map
- query expansion
- training set
- pseudo relevance feedback
- neural network
- smoothing methods
- query terms
- language model for information retrieval
- context sensitive
- relevance model
- vector space model
- document ranking
- retrieval effectiveness
- okapi bm
- ad hoc information retrieval
- language models for information retrieval
- search engine
- translation model
- neural network model
- document length
- kernel methods
- data mining