66 citations · 418 across the 62 of their papers we have counts for
5 papers · 1 filter
Diversity Over Quantity: A Lesson From Few Shot Relation Classification
Amir DN Cohen, Shauli Ravfogel, Shaltiel Shmidman +1
In few-shot relation classification (FSRC), models must generalize to novel relations with only a few labeled examples. While much of the recent progress in NLP has focused on scal…
Data-driven Coreference-based Ontology Building
Shir Ashury-Tahan, Amir David Nissan Cohen, Nadav Cohen +2
While coreference resolution is traditionally used as a component in individual document understanding, in this work we take a more global view and explore what can we learn about…
GRADE: Quantifying Sample Diversity in Text-to-Image Models
Royi Rassin, Aviv Slobodkin, Shauli Ravfogel +2
We introduce GRADE, an automatic method for quantifying sample diversity in text-to-image models. Our method leverages the world knowledge embedded in large language models and vis…
Data Contamination Report from the 2024 CONDA Shared Task
Oscar Sainz, Iker García-Ferrero, Alon Jacovi +25
The 1st Workshop on Data Contamination (CONDA 2024) focuses on all relevant aspects of data contamination in natural language processing, where data contamination is understood as…
A Practical Method for Generating String Counterfactuals
Matan Avitan, Ryan Cotterell, Yoav Goldberg +1
Interventions targeting the representation space of language models (LMs) have emerged as an effective means to influence model behavior. Such methods are employed, for example, to…