25 citations · 223 across the 48 of their papers we have counts for
6 papers · 2 filters
Probing the Moral Development of Large Language Models through Defining Issues Test
Kumar Tanmay, Aditi Khandelwal, Utkarsh Agarwal +1
In this study, we measure the moral reasoning ability of LLMs using the Defining Issues Test - a psychometric instrument developed for measuring the moral development stage of a pe…
Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?
Rishav Hada, Varun Gumma, Adrian de Wynter +5
Large Language Models (LLMs) excel in various Natural Language Processing (NLP) tasks, yet their evaluation, particularly in languages beyond the top , remains inadequate due t…
X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents
Mehrad Moradshahi, Tianhao Shen, Kalika Bali +16
Task-oriented dialogue research has mainly focused on a few popular languages like English and Chinese, due to the high dataset creation cost for a new language. To reduce the cost…
LLM-powered Data Augmentation for Enhanced Cross-lingual Performance
Chenxi Whitehouse, Monojit Choudhury, Alham Fikri Aji
This paper explores the potential of leveraging Large Language Models (LLMs) for data augmentation in multilingual commonsense reasoning datasets where the available training data…
DiTTO: A Feature Representation Imitation Approach for Improving Cross-Lingual Transfer
Shanu Kumar, Abbaraju Soujanya, Sandipan Dandapat +2
Zero-shot cross-lingual transfer is promising, however has been shown to be sub-optimal, with inferior transfer performance across low-resource languages. In this work, we envision…
Fairness in Language Models Beyond English: Gaps and Challenges
Krithika Ramesh, Sunayana Sitaram, Monojit Choudhury
With language models becoming increasingly ubiquitous, it has become essential to address their inequitable treatment of diverse demographic groups and factors. Most research on ev…