3 papers
cs.AI2026
Minimal, Local, Causal Explanations for Jailbreak Success in Large Language Models
Shubham Kumar, Narendra Ahuja
Safety trained large language models (LLMs) can often be induced to answer harmful requests through jailbreak prompts. Because we lack a robust understanding of why LLMs are suscep…
cs.LG2026
Measuring the (Un)Faithfulness of Concept-Based Explanations
Shubham Kumar, Narendra Ahuja
Deep vision models perform input-output computations that are hard to interpret. Concept-based explanation methods (CBEMs) increase interpretability by re-expressing parts of the m…
cs.CL2025
Zero-Shot Grammar Competency Estimation Using Large Language Model Generated Pseudo Labels
Sourya Dipta Das, Shubham Kumar, Kuldeep Yadav
Grammar competency estimation is essential for assessing linguistic proficiency in both written and spoken language; however, the spoken modality presents additional challenges due…