6 citations · 8 across the 7 of their papers we have counts for
7 papers · 1 filter
K-QA: A Real-World Medical Q&A Benchmark
Itay Manes, Naama Ronn, David Cohen +3
Ensuring the accuracy of responses provided by large language models (LLMs) is crucial, particularly in clinical settings where incorrect information may directly impact patient he…
Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine Translation
Bar Iluz, Tomasz Limisiewicz, Gabriel Stanovsky +1
We study the effect of tokenization on gender bias in machine translation, an aspect that has been largely overlooked in previous works. Specifically, we focus on the interactions…
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents
Catherine Chen, Zejiang Shen, Dan Klein +3
Recent work has shown that infusing layout features into language models (LMs) improves processing of visually-rich documents such as scientific papers. Layout-infused LMs are ofte…
The Perfect Victim: Computational Analysis of Judicial Attitudes towards Victims of Sexual Violence
Eliya Habba, Renana Keydar, Dan Bareket +1
We develop computational models to analyze court statements in order to assess judicial attitudes toward victims of sexual violence in the Israeli court system. The study examines…
Evaluating and Improving the Coreference Capabilities of Machine Translation Models
Asaf Yehudai, Arie Cattan, Omri Abend +1
Machine translation (MT) requires a wide range of linguistic capabilities, which current end-to-end models are expected to learn implicitly by observing aligned sentences in biling…
A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions
Uri Berger, Lea Frermann, Gabriel Stanovsky +1
We present a large, multilingual study into how vision constrains linguistic choice, covering four languages and five linguistic properties, such as verb transitivity or use of num…