17 citations · 43 across the 24 of their papers we have counts for
25 papers
Cultural Awareness in Vision-Language Models: A Cross-Country Exploration
Avinash Madasu, Vasudev Lal, Phillip Howard
Vision-Language Models (VLMs) are increasingly deployed in diverse cultural contexts, yet their internal biases remain poorly understood. In this work, we propose a novel framework…
Learning from Reasoning Failures via Synthetic Data Generation
Gabriela Ben Melech Stan, Estelle Aflalo, Avinash Madasu +2
Training models on synthetic data has emerged as an increasingly important strategy for improving the performance of generative AI. This approach is particularly helpful for large…
Pruning the Paradox: How CLIP's Most Informative Heads Enhance Performance While Amplifying Bias
Avinash Madasu, Vasudev Lal, Phillip Howard
CLIP is one of the most popular foundation models and is heavily used for many vision-language tasks, yet little is known about its inner workings. As CLIP is increasingly deployed…
Is Your Paper Being Reviewed by an LLM? Benchmarking AI Text Detection in Peer Review
Sungduk Yu, Man Luo, Avinash Madasu +2
Peer review is a critical process for ensuring the integrity of published scientific research. Confidence in this process is predicated on the assumption that experts in the releva…
Is Your Paper Being Reviewed by an LLM? Investigating AI Text Detectability in Peer Review
Sungduk Yu, Man Luo, Avinash Madasu +2
Peer review is a critical process for ensuring the integrity of published scientific research. Confidence in this process is predicated on the assumption that experts in the releva…
Quantifying and Enabling the Interpretability of CLIP-like Models
Avinash Madasu, Yossi Gandelsman, Vasudev Lal +1
CLIP is one of the most popular foundational models and is heavily used for many vision-language tasks. However, little is known about the inner workings of CLIP. To bridge this ga…