565 citations · 633 across the 13 of their papers we have counts for
5 papers · 1 filter
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…
Opacus: User-Friendly Differential Privacy Library in PyTorch
Ashkan Yousefpour, Igor Shilov, Alexandre Sablayrolles +9
We introduce Opacus, a free, open-source PyTorch library for training deep learning models with differential privacy (hosted at opacus.ai). Opacus is designed for simplicity, flexi…
ePiC: Employing Proverbs in Context as a Benchmark for Abstract Language Understanding
Sayan Ghosh, Shashank Srivastava
While large language models have shown exciting progress on several NLP benchmarks, evaluating their ability for complex analogical reasoning remains under-explored. Here, we intro…
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…