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cs.CL2026
Fragile Thoughts: How Large Language Models Handle Chain-of-Thought Perturbations
Ashwath Vaithinathan Aravindan, Mayank Kejriwal
Chain-of-Thought (CoT) prompting has emerged as a foundational technique for eliciting reasoning from Large Language Models (LLMs), yet the robustness of this approach to corruptio…
cs.CL2026
Rewarding Intellectual Humility Learning When Not To Answer In Large Language Models
Abha Jha, Akanksha Mahajan, Ashwath Vaithinathan Aravindan +3
Large Language Models (LLMs) often produce hallucinated or unverifiable content, undermining their reliability in factual domains. This work investigates Reinforcement Learning wit…