2 citations · 5 across the 5 of their papers we have counts for
6 papers
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…
Speaking the Right Language: The Impact of Expertise Alignment in User-AI Interactions
Shramay Palta, Nirupama Chandrasekaran, Rachel Rudinger +1
Using a sample of 25,000 Bing Copilot conversations, we study how the agent responds to users of varying levels of domain expertise and the resulting impact on user experience alon…
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…
Measuring Style Similarity in Diffusion Models
Gowthami Somepalli, Anubhav Gupta, Kamal Gupta +5
Generative models are now widely used by graphic designers and artists. Prior works have shown that these models remember and often replicate content from their training data durin…
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…
Investigating Information Inconsistency in Multilingual Open-Domain Question Answering
Shramay Palta, Haozhe An, Yifan Yang +2
Retrieval based open-domain QA systems use retrieved documents and answer-span selection over retrieved documents to find best-answer candidates. We hypothesize that multilingual Q…