3 papers
cs.CL2026
Measuring User's Mental Models of Speech Translation in Human-AI Collaboration
HyoJung Han, Nishant Balepur, Jordan Boyd-Graber +1
Millions of people use machine translation (MT) tools daily, yet little is known about their perception of what systems can and cannot do. This paper studies users' mental models o…
cs.CL2026
Can you map it to English? The Role of Cross-Lingual Alignment in Multilingual Performance of LLMs
Kartik Ravisankar, Hyojung Han, Sarah Wiegreffe +1
Large language models (LLMs) can answer prompts in many languages, despite being trained predominantly on English; yet, the mechanisms driving this generalization remain poorly und…
cs.CL2025
Rethinking Cross-lingual Alignment: Balancing Transfer and Cultural Erasure in Multilingual LLMs
HyoJung Han, Sweta Agrawal, Eleftheria Briakou
Cross-lingual alignment (CLA) aims to align multilingual representations, enabling Large Language Models (LLMs) to seamlessly transfer knowledge across languages. While intuitive,…