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Found 5 papers, 3 papers with code
Speaking the Right Language: The Impact of Expertise Alignment in User-AI Interactions
Misalignment, such that the agent responds at a level of expertise below that of the user, has a negative impact on overall user experience, with the impact more profound for more complex tasks.
Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning
Questions involving commonsense reasoning about everyday situations often admit many $\textit{possible}$ or $\textit{plausible}$ answers.
Measuring Style Similarity in Diffusion Models
We also propose a method to extract style descriptors that can be used to attribute style of a generated image to the images used in the training dataset of a text-to-image model.
It's Not Easy Being Wrong: Large Language Models Struggle with Process of Elimination Reasoning
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.
Investigating Information Inconsistency in Multilingual Open-Domain Question Answering
Retrieval based open-domain QA systems use retrieved documents and answer-span selection over retrieved documents to find best-answer candidates.
