Rachneet Singh Sachdeva — accepted AI-conference papers

2025

Localizing and Mitigating Errors in Long-form Question Answering

Rachneet Singh Sachdeva, Yixiao Song, Mohit Iyyer, Iryna Gurevych

ACL 2025finding

Long-form question answering (LFQA) aims to provide thorough and in-depth answers to complex questions, enhancing comprehension. However, such detailed responses are prone to hallucinations and factual inconsistencies, challenging their faithful evaluation. This work introduces HaluQuestQA, the firs…

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2025

Turning Logic Against Itself: Probing Model Defenses Through Contrastive Questions

Rachneet Singh Sachdeva, Rima Hazra, Iryna Gurevych

EMNLP 2025

Large language models, despite extensive alignment with human values and ethical principles, remain vulnerable to sophisticated jailbreak attacks that exploit their reasoning abilities. Existing safety measures often detect overt malicious intent but fail to address subtle, reasoning-driven vulnerab

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