565 citations · 1.7k across the 68 of their papers we have counts for
3 papers · 2 filters
MMoE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction Experts
Haofei Yu, Zhengyang Qi, Lawrence Jang +3
Advances in multimodal models have greatly improved how interactions relevant to various tasks are modeled. Today's multimodal models mainly focus on the correspondence between ima…
Towards Vision-Language Mechanistic Interpretability: A Causal Tracing Tool for BLIP
Vedant Palit, Rohan Pandey, Aryaman Arora +1
Mechanistic interpretability seeks to understand the neural mechanisms that enable specific behaviors in Large Language Models (LLMs) by leveraging causality-based methods. While t…
Language Models Get a Gender Makeover: Mitigating Gender Bias with Few-Shot Data Interventions
Himanshu Thakur, Atishay Jain, Praneetha Vaddamanu +2
Societal biases present in pre-trained large language models are a critical issue as these models have been shown to propagate biases in countless downstream applications, renderin…