4 papers
Are You Sure You're Sure? Two Confounds in a Sycophancy Benchmark
Atharv Gupta, Akshat Jindal, Lavanya Nigam +1
Sycophancy is a language model's tendency to cave when a user pushes back, abandoning a correct answer for the user's. Several benchmarks now measure it by scripting an objection a…
Detecting anxiety from short clips of free-form speech
Prabhat Agarwal, Akshat Jindal, Shreya Singh
Barriers to accessing mental health assessments including cost and stigma continues to be an impediment in mental health diagnosis and treatment. Machine learning approaches based…
Classification for everyone : Building geography agnostic models for fairer recognition
Akshat Jindal, Shreya Singh, Soham Gadgil
In this paper, we analyze different methods to mitigate inherent geographical biases present in state of the art image classification models. We first quantitatively present this b…
Imitation with Neural Density Models
Kuno Kim, Akshat Jindal, Yang Song +3
We propose a new framework for Imitation Learning (IL) via density estimation of the expert's occupancy measure followed by Maximum Occupancy Entropy Reinforcement Learning (RL) us…