collaborators

5 papers

cs.CL2026

Are Large Language Models Economically Viable for Industry Deployment?

Abdullah Mohammad, Sushant Kumar Ray, Pushkar Arora +5

Generative AI-powered by Large Language Models (LLMs)-is increasingly deployed in industry across healthcare decision support, financial analytics, enterprise retrieval, and conver…

cs.CL2026

Are Aligned Large Language Models Still Misaligned?

Usman Naseem, Gautam Siddharth Kashyap, Rafiq Ali +4

Misalignment in Large Language Models (LLMs) arises when model behavior diverges from human expectations and fails to simultaneously satisfy safety, value, and cultural dimensions,…

cs.CL2026

Can Large Language Models Make Everyone Happy?

Usman Naseem, Gautam Siddharth Kashyap, Ebad Shabbir +3

Misalignment in Large Language Models (LLMs) refers to the failure to simultaneously satisfy safety, value, and cultural dimensions, leading to behaviors that diverge from human ex…

cs.CL2026

Do Large Language Models Reflect Demographic Pluralism in Safety?

Usman Naseem, Gautam Siddharth Kashyap, Sushant Kumar Ray +3

Large Language Model (LLM) safety is inherently pluralistic, reflecting variations in moral norms, cultural expectations, and demographic contexts. Yet, existing alignment datasets…

cs.CL2026

Do Clinical Question Answering Systems Really Need Specialised Medical Fine Tuning?

Sushant Kumar Ray, Gautam Siddharth Kashyap, Sahil Tripathi +5

Clinical Question-Answering (CQA) industry systems are increasingly rely on Large Language Models (LLMs), yet their deployment is often guided by the assumption that domain-specifi…