Papers by Omri Asscher

2 papers
ETHICA-MT: Introducing a Framework and Dataset for Studying Ethical Orientations in LLM-based Machine Translation (2026.findings-acl)

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Challenge: Existing models for translation have not been systematically examined for their default ethical tendencies or their ability to employ and prioritize specified ethical approaches in conflicted translation situations.
Approach: They propose a framework for examining ethical reasoning and implementation in large language models (LLMs) that systematically examines default ethical tendencies and their ability to employ and prioritize specified ethical approaches in conflicted translation situations.
Outcome: The proposed framework examines the ethical reasoning and implementation of large language models in translation tasks.
An Interdisciplinary Approach to Human-Centered Machine Translation (2025.emnlp-main)

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Challenge: Despite progress in MT, a gap persists between how the technology is developed and how it is used in real-world contexts.
Approach: They propose a human-centered approach to machine translation (MT) they argue that MT should be evaluated with diverse goals and contexts of use .
Outcome: The proposed approach emphasizes alignment of evaluation and design with diverse communicative goals and contexts of use.

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