Search Results for author:
Found 11 papers, 2 papers with code
Language Models as Critical Thinking Tools: A Case Study of Philosophers
Current work in language models (LMs) helps us speed up or even skip thinking by accelerating and automating cognitive work.
Correcting misinformation on social media with a large language model
By retrieving evidence as refutations or contexts, MUSE identifies and explains (in)accuracies in a piece of content--not presupposed to be misinformation--with references.
(A)I Am Not a Lawyer, But...: Engaging Legal Experts towards Responsible LLM Policies for Legal Advice
The rapid proliferation of large language models (LLMs) as general purpose chatbots available to the public raises hopes around expanding access to professional guidance in law, medicine, and finance, while triggering concerns about public reliance on LLMs for high-stakes circumstances.
Case Repositories: Towards Case-Based Reasoning for AI Alignment
Case studies commonly form the pedagogical backbone in law, ethics, and many other domains that face complex and ambiguous societal questions informed by human values.
Computer Vision Datasets and Models Exhibit Cultural and Linguistic Diversity in Perception
Computer vision often treats human perception as homogeneous: an implicit assumption that visual stimuli are perceived similarly by everyone.
Skin Deep: Investigating Subjectivity in Skin Tone Annotations for Computer Vision Benchmark Datasets
To investigate the well-observed racial disparities in computer vision systems that analyze images of humans, researchers have turned to skin tone as more objective annotation than race metadata for fairness performance evaluations.
The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces
Scholarly publications are key to the transfer of knowledge from scholars to others.
Relatedly: Scaffolding Literature Reviews with Existing Related Work Sections
Scholars who want to research a scientific topic must take time to read, extract meaning, and identify connections across many papers.
Approximate Cross-validated Mean Estimates for Bayesian Hierarchical Regression Models
We introduce a novel procedure for obtaining cross-validated predictive estimates for Bayesian hierarchical regression models (BHRMs).
How do Data Science Workers Collaborate? Roles, Workflows, and Tools
We also found that the collaborative practices workers employ, such as documentation, vary according to the kinds of tools they use.
Controversy and Sentiment in Online News
We find that in general, when it comes to controversial issues, the use of negative affect and biased language is prevalent, while the use of strong emotion is tempered.
