3 papers
cond-mat.dis-nn2026
Context-Gated Associative Retrieval: From Theory to Transformers
Moulik Choraria, Argyrios Gerogiannis, Vidhata Jayaraman +2
Hopfield networks and their generalizations have established deep connections among biological associative memories, statistical physics, and transformers. Yet most models treat re…
cs.AI2026
Skip-It? Theoretical Conditions for Layer Skipping in Vision-Language Models
Max Hartman, Vidhata Jayaraman, Moulik Choraria +2
Vision-language models achieve incredible performance across a wide range of tasks, but their large size makes inference costly. Recent work has shown that multimodal processing co…
cs.CL2024
SwitchCIT: Switching for Continual Instruction Tuning
Xinbo Wu, Max Hartman, Vidhata Arjun Jayaraman +1
Large language models (LLMs) and multimodal models (MMs) have exhibited impressive capabilities in various domains, particularly in general language understanding and visual reason…