LaMDA: Language Models for Dialog Applications.
Romal ThoppilanDaniel De FreitasJamie HallNoam ShazeerApoorv KulshreshthaHeng-Tze ChengAlicia JinTaylor BosLeslie BakerYu DuYaGuang LiHongrae LeeHuaixiu Steven ZhengAmin GhafouriMarcelo MenegaliYanping HuangMaxim KrikunDmitry LepikhinJames QinDehao ChenYuanzhong XuZhifeng ChenAdam RobertsMaarten BosmaYanqi ZhouChung-Ching ChangIgor KrivokonWill RuschMarc PickettKathleen S. Meier-HellsternMeredith Ringel MorrisTulsee DoshiRenelito Delos SantosToju DukeJohnny SorakerBen ZevenbergenVinodkumar PrabhakaranMark DiazBen HutchinsonKristen OlsonAlejandra MolinaErin Hoffman-JohnJosh LeeLora AroyoRavi RajakumarAlena ButrynaMatthew LammViktoriya KuzminaJoe FentonAaron CohenRachel BernsteinRay KurzweilBlaise Aguera-ArcasClaire CuiMarian CroakEd ChiQuoc LePublished in: CoRR (2022)
Keyphrases
- language model
- language modeling
- n gram
- probabilistic model
- language modelling
- document retrieval
- speech recognition
- retrieval model
- information retrieval
- query expansion
- test collection
- context sensitive
- language models for information retrieval
- natural language
- statistical language models
- ad hoc information retrieval
- pseudo relevance feedback
- query terms
- query specific
- document length
- language model for information retrieval
- relevance model
- document ranking
- vector space model
- pseudo feedback