activity
20242026
collaborators

5 papers

cs.CL2026

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…

cs.AI2026

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…

cs.CV2025

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…

cs.CY2025

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…

cs.CL2024

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…