collaborators

11 papers

cs.CL2026

Prompt Robustness Is Task-Dependent: Comparing Objective and Belief-Style Questions in LLM Evaluation

Sadia Kamal, Arefa Patwary, Anthony Marchiafava +2

Survey-style evaluations of large language models often treat a prompted response as a measure of a model's values or beliefs. This assumption is particularly fragile when response…

cs.CL2026

Evaluation Framework for Highlight Explanations of Context Utilisation in Language Models

Jingyi Sun, Pepa Atanasova, Sagnik Ray Choudhury +2

Context utilisation, the ability of Language Models (LMs) to incorporate relevant information from the provided context when generating responses, remains largely opaque to users,…

cs.CL2026

S-GRADES -- Studying Generalization of Student Response Assessments in Diverse Evaluative Settings

Tasfia Seuti, Sagnik Ray Choudhury

Evaluating student responses, from long essays to short factual answers, is a key challenge in educational NLP. Automated Essay Scoring (AES) focuses on holistic writing qualities…

cs.CL2026

LFQA-HP-1M: A Large-Scale Human Preference Dataset for Long-Form Question Answering

Rafid Ishrak Jahan, Fahmid Shahriar Iqbal, Sagnik Ray Choudhury

Long-form question answering (LFQA) demands nuanced evaluation of multi-sentence explanatory responses, yet existing metrics often fail to reflect human judgment. We present LFQA-H…

cs.CL2026

NLP for Social Good: A Survey and Outlook of Challenges, Opportunities, and Responsible Deployment

Antonia Karamolegkou, Angana Borah, Eunjung Cho +30

Natural language processing (NLP) now shapes many aspects of our world, yet its potential for positive social impact is underexplored. This paper surveys work in ``NLP for Social G…

cs.CY2025

A Detailed Factor Analysis for the Political Compass Test: Navigating Ideologies of Large Language Models

Sadia Kamal, Lalu Prasad Yadav Prakash, S M Rafiuddin +3

The Political Compass Test (PCT) and similar surveys are commonly used to assess political bias in auto-regressive LLMs. Our rigorous statistical experiments show that while change…