3 citations · 4 across the 5 of their papers we have counts for
5 papers
Geographical Erasure in Language Generation
Pola Schwöbel, Jacek Golebiowski, Michele Donini +2
Large language models (LLMs) encode vast amounts of world knowledge. However, since these models are trained on large swaths of internet data, they are at risk of inordinately capt…
Goodhart's Law Applies to NLP's Explanation Benchmarks
Jennifer Hsia, Danish Pruthi, Aarti Singh +1
Despite the rising popularity of saliency-based explanations, the research community remains at an impasse, facing doubts concerning their purpose, efficacy, and tendency to contra…
Inspecting the Geographical Representativeness of Images from Text-to-Image Models
Abhipsa Basu, R. Venkatesh Babu, Danish Pruthi
Recent progress in generative models has resulted in models that produce both realistic as well as relevant images for most textual inputs. These models are being used to generate…
Learning the Legibility of Visual Text Perturbations
Dev Seth, Rickard Stureborg, Danish Pruthi +1
Many adversarial attacks in NLP perturb inputs to produce visually similar strings ('ergo' 'rgo') which are legible to humans but degrade model performance. Althou…
Assisting Human Decisions in Document Matching
Joon Sik Kim, Valerie Chen, Danish Pruthi +2
Many practical applications, ranging from paper-reviewer assignment in peer review to job-applicant matching for hiring, require human decision makers to identify relevant matches…