14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon.
Kevin Maik JablonkaQianxiang AiAlexander Al-FeghaliShruti BadhwarJoshua D. Bocarsly Andres M. BranStefan BringuierL. Catherine BrinsonKamal ChoudharyDefne CirciSam CoxWibe A. de JongMatthew L. EvansNicolas GastelluJerome GenzlingMaría Victoria GilAnkur K. GuptaZhi HongAlishba ImranSabine KruschwitzAnne LabarreJakub LálaTao LiuSteven MaSauradeep MajumdarGarrett W. MerzNicolas MoitessierElias MoubarakBeatriz MouriñoBrenden PelkieMichael PielerMayk Caldas RamosBojana RankovicSamuel G. RodriquesJacob N. SandersPhilippe SchwallerMarcus SchwartingJiale ShiBerend SmitBen E. SmithJoren Van HeckChristoph VölkerLogan T. WardSean WarrenBenjamin WeiserSylvester ZhangXiaoqi ZhangGhezal Ahmad ZiaAristana ScourtasK. J. SchmidtIan T. FosterAndrew D. WhiteBen BlaiszikPublished in: CoRR (2023)
Keyphrases
- language model
- materials science
- language modeling
- n gram
- probabilistic model
- speech recognition
- retrieval model
- query expansion
- document retrieval
- information retrieval
- ad hoc information retrieval
- language modelling
- mixture model
- test collection
- context sensitive
- statistical language models
- statistical machine translation
- query terms
- scientific data
- translation model
- word clouds
- databases
- language model for information retrieval
- related fields
- smoothing methods
- pseudo relevance feedback
- cross lingual
- language models for information retrieval
- recent advances
- data mining