2 citations · 2 across the 4 of their papers we have counts for
5 papers
CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations
Rakesh R Menon, Sayan Ghosh, Shashank Srivastava
Supervised learning has traditionally focused on inductive learning by observing labeled examples of a task. In contrast, humans have the ability to learn new concepts from languag…
Learning to Mediate Disparities Towards Pragmatic Communication
Yuwei Bao, Sayan Ghosh, Joyce Chai
Human communication is a collaborative process. Speakers, on top of conveying their own intent, adjust the content and language expressions by taking the listeners into account, in…
Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning
Sayan Ghosh, Shashank Srivastava
Mapping natural language instructions to programs that computers can process is a fundamental challenge. Existing approaches focus on likelihood-based training or using reinforceme…
Adversarial Scrubbing of Demographic Information for Text Classification
Somnath Basu Roy Chowdhury, Sayan Ghosh, Yiyuan Li +3
Contextual representations learned by language models can often encode undesirable attributes, like demographic associations of the users, while being trained for an unrelated targ…
Detecting Cross-Geographic Biases in Toxicity Modeling on Social Media
Sayan Ghosh, Dylan Baker, David Jurgens +1
Online social media platforms increasingly rely on Natural Language Processing (NLP) techniques to detect abusive content at scale in order to mitigate the harms it causes to their…