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20172023
most citedAccelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics

429 citations · 678 across the 10 of their papers we have counts for

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cs.CL2023

Causal ATE Mitigates Unintended Bias in Controlled Text Generation

Rahul Madhavan, Kahini Wadhawan

We study attribute control in language models through the method of Causal Average Treatment Effect (Causal ATE). Existing methods for the attribute control task in Language Models…

cs.CL2023

CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation

Rahul Madhavan, Rishabh Garg, Kahini Wadhawan +1

We propose a method to control the attributes of Language Models (LMs) for the text generation task using Causal Average Treatment Effect (ATE) scores and counterfactual augmentati…