3 papers
cs.CL2025
Steering Over-refusals Towards Safety in Retrieval Augmented Generation
Utsav Maskey, Mark Dras, Usman Naseem
Safety alignment in large language models (LLMs) induces over-refusals -- where LLMs decline benign requests due to aggressive safety filters. We analyze this phenomenon in retriev…
cs.CL2025
MaiBERT: A Pre-training Corpus and Language Model for Low-Resourced Maithili Language
Sumit Yadav, Raju Kumar Yadav, Utsav Maskey +3
Natural Language Understanding (NLU) for low-resource languages remains a major challenge in NLP due to the scarcity of high-quality data and language-specific models. Maithili, de…
cs.CL2025
Should LLM Safety Be More Than Refusing Harmful Instructions?
Utsav Maskey, Mark Dras, Usman Naseem
This paper presents a systematic evaluation of Large Language Models' (LLMs) behavior on long-tail distributed (encrypted) texts and their safety implications. We introduce a two-d…