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cs.CL2026
Arguments that Alter Minds: LLM Rationales Sway Human (and LLM) Notions of Plausibility
Shramay Palta, Peter Rankel, Sarah Wiegreffe +1
We investigate the degree to which human (and LLM) plausibility judgments of multiple-choice commonsense benchmark answers are subject to influence by (im)plausibility arguments fo…
cs.CL2024
Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning
Shramay Palta, Nishant Balepur, Peter Rankel +3
Questions involving commonsense reasoning about everyday situations often admit many or answers. In contrast, multiple-choice question (MCQ…
cs.CL2024
It's Not Easy Being Wrong: Large Language Models Struggle with Process of Elimination Reasoning
Nishant Balepur, Shramay Palta, Rachel Rudinger
Chain-of-thought (COT) prompting can help large language models (LLMs) reason toward correct answers, but its efficacy in reasoning toward incorrect answers is unexplored. This pro…