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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
Beyond the Star Rating: A Scalable Framework for Aspect-Based Sentiment Analysis Using LLMs and Text Classification
Vishal Patil, Shree Vaishnavi Bacha, Revanth Yamani +2
Customer-provided reviews have become an important source of information for business owners and other customers alike. However, effectively analyzing millions of unstructured revi…