Personalized entity recommendation

Xiao Yu, Xiang Ren, Yizhou Sun, +5

EngineeringSemantic WebSocial NetworkEntity Recommendation ProblemText Mining +18

Emergent linguistic structure in artificial neural networks trained by self-supervision

Christopher D. Manning, Kevin B. Clark, John Hewitt, +2

Proceedings of the National Academy of Sciences

Artificial IntelligenceMasked WordStructured PredictionSyntactic ParsingEngineering +19

Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context

Urvashi Khandelwal, He He, Peng Qi, +1

EngineeringSemantic ProcessingPsycholinguisticsLarge Language ModelText Mining +18

Recommendation in heterogeneous information networks with implicit user feedback

Xiao Yu, Xiang Ren, Yizhou Sun, +5

EngineeringNetwork AnalysisSocial NetworkLink PredictionEntity Recommendation Problem +14

ClusCite

Xiang Ren, Jialu Liu, Xiao Yu, +4

Computational Social ScienceRanking AlgorithmNetwork ScienceInformation RetrievalData Science +13

What Does BERT Look at? An Analysis of BERT’s Attention

Kevin B. Clark, Urvashi Khandelwal, Omer Levy, +1

With Little Power Comes Great Responsibility

Dallas Card, Peter Henderson, Urvashi Khandelwal, +3

Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context

Urvashi Khandelwal, He He, Peng Qi, +1

arXiv (Cornell University)

EngineeringSemantic ProcessingPsycholinguisticsLarge Language ModelText Mining +18

Sample Efficient Text Summarization Using a Single Pre-Trained Transformer

Urvashi Khandelwal, Kevin B. Clark, Dan Jurafsky, +1

arXiv (Cornell University)

Llm Fine-tuningEngineeringMachine LearningMultilingual PretrainingLarge Language Model +18

Generalization through Memorization: Nearest Neighbor Language Models

Urvashi Khandelwal, Omer Levy, Dan Jurafsky, +2

arXiv (Cornell University)

Llm Fine-tuningEngineeringMachine LearningCross-lingual RepresentationMultilingual Pretraining +17