Mor Geva | DeepAI

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∙ 07/24/2023

Evaluating the Ripple Effects of Knowledge Editing in Language Models

Modern language models capture a large body of factual knowledge. Howeve...

0 Roi Cohen, et al. ∙

∙ 06/01/2023

The Hidden Language of Diffusion Models

Text-to-image diffusion models have demonstrated an unparalleled ability...

0 Hila Chefer, et al. ∙

∙ 05/22/2023

LM vs LM: Detecting Factual Errors via Cross Examination

A prominent weakness of modern language models (LMs) is their tendency t...

0 Roi Cohen, et al. ∙

∙ 04/28/2023

Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Transformer-based language models (LMs) are known to capture factual kno...

0 Mor Geva, et al. ∙

∙ 03/16/2023

Jump to Conclusions: Short-Cutting Transformers With Linear Transformations

Transformer-based language models (LMs) create hidden representations of...

0 Alexander Yom Din, et al. ∙

∙ 01/30/2023

Crawling the Internal Knowledge-Base of Language Models

Language models are trained on large volumes of text, and as a result th...

0 Roi Cohen, et al. ∙

∙ 10/07/2022

Understanding Transformer Memorization Recall Through Idioms

To produce accurate predictions, language models (LMs) must balance betw...

14 Adi Haviv, et al. ∙

∙ 09/06/2022

Analyzing Transformers in Embedding Space

Understanding Transformer-based models has attracted significant attenti...

10 Guy Dar, et al. ∙

∙ 05/01/2022

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

In recent years, progress in NLU has been driven by benchmarks. These be...

5 Mihir Parmar, et al. ∙

∙ 04/28/2022

Inferring Implicit Relations with Language Models

A prominent challenge for modern language understanding systems is the a...

7 Uri Katz, et al. ∙

∙ 04/26/2022

LM-Debugger: An Interactive Tool for Inspection and Intervention in Transformer-Based Language Models

The opaque nature and unexplained behavior of transformer-based language...

5 Mor Geva, et al. ∙

∙ 03/28/2022

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

Transformer-based language models (LMs) are at the core of modern NLP, b...

0 Mor Geva, et al. ∙

∙ 01/10/2022

SCROLLS: Standardized CompaRison Over Long Language Sequences

NLP benchmarks have largely focused on short texts, such as sentences an...

0 Uri Shaham, et al. ∙

∙ 07/29/2021

Break, Perturb, Build: Automatic Perturbation of Reasoning Paths through Question Decomposition

Recent efforts to create challenge benchmarks that test the abilities of...

0 Mor Geva, et al. ∙

∙ 04/13/2021

What's in your Head? Emergent Behaviour in Multi-Task Transformer Models

The primary paradigm for multi-task training in natural language process...

0 Mor Geva, et al. ∙

∙ 01/06/2021

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

A key limitation in current datasets for multi-hop reasoning is that the...

0 Mor Geva, et al. ∙

∙ 12/29/2020

Transformer Feed-Forward Layers Are Key-Value Memories

Feed-forward layers constitute two-thirds of a transformer model's param...

29 Mor Geva, et al. ∙

∙ 04/09/2020

Injecting Numerical Reasoning Skills into Language Models

Large pre-trained language models (LMs) are known to encode substantial ...

0 Mor Geva, et al. ∙

∙ 01/31/2020

Break It Down: A Question Understanding Benchmark

Understanding natural language questions entails the ability to break do...

0 Tomer Wolfson, et al. ∙

∙ 08/21/2019

Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets

Crowdsourcing has been the prevalent paradigm for creating natural langu...

0 Mor Geva, et al. ∙

∙ 02/27/2019

DiscoFuse: A Large-Scale Dataset for Discourse-based Sentence Fusion

Sentence fusion is the task of joining several independent sentences int...

0 Mor Geva, et al. ∙

∙ 09/03/2018

Emergence of Communication in an Interactive World with Consistent Speakers

Training agents to communicate with one another given task-based supervi...

0 Ben Bogin, et al. ∙

∙ 06/09/2018

Learning to Search in Long Documents Using Document Structure

Reading comprehension models are based on recurrent neural networks that...

0 Mor Geva, et al. ∙

∙ 07/14/2017

Evaluating Semantic Parsing against a Simple Web-based Question Answering Model

Semantic parsing shines at analyzing complex natural language that invol...

0 Alon Talmor, et al. ∙

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