<i>Did Aristotle Use a Laptop?</i>A Question Answering Benchmark with Implicit Reasoning Strategies

Mor Geva, Daniel Khashabi, Elad Segal, +3

Transactions of the Association for Computational Linguistics

Artificial IntelligenceEngineeringKnowledge-based ReasoningDid Aristotle UseLanguage Processing +19

B<scp>reak</scp> It Down: A Question Understanding Benchmark

Tomer Wolfson, Mor Geva, Ankit Gupta, +4

Transactions of the Association for Computational Linguistics

Performance BenchmarkingEngineeringSemantic WebCorpus LinguisticsText Mining +20

Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space

Mor Geva, Avi Caciularu, Kevin I‐Kai Wang, +1

Structured PredictionLlm Fine-tuningEngineeringMachine LearningLarge Language Model +17

Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit\n Reasoning Strategies

Mor Geva, Daniel Khashabi, Elad Segal, +3

arXiv (Cornell University)

SCROLLS: Standardized CompaRison Over Long Language Sequences

Uri Shaham, Elad Segal, Maor Ivgi, +8

Applied LinguisticsNatural Language ProcessingSequence ModellingEngineeringOmer Levy +11

Don’t Blame the Annotator: Bias Already Starts in the Annotation Instructions

Mihir Parmar, Swaroop Mishra, Mor Geva, +1

Artificial IntelligenceData AnnotationLlm Fine-tuningEngineeringAutomatic Annotation Tool +22

LM vs LM: Detecting Factual Errors via Cross Examination

Roi Cohen, May Hamri, Mor Geva, +1

EngineeringVerificationTextual EntailmentSemanticsCorpus Linguistics +18

Transformer Feed-Forward Layers Are Key-Value Memories

Mor Geva, Roei Schuster, Jonathan Berant, +1

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Analyzing Transformers in Embedding Space

Guy Dar, Mor Geva, Ankit Gupta, +1

Large Ai ModelLlm Fine-tuningEngineeringRepresentation TheoryData Science +9

Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Mor Geva, Jasmijn Bastings, Katja Filippova, +1

Structured PredictionLlm Fine-tuningEngineeringMachine LearningLarge Language Model +19