4 papers
Mural: Transferring LLM knowledge to image generation via Mixture-of-Transformers
Achin Jain, Jie An, Siddharth Chaudhary +1
Leveraging capabilities of large language models (LLMs) in text-to-image (T2I) synthesis is an important research direction. In this work we investigate whether the knowledge of a…
Enabling Robust In-Context Memory and Rapid Task Adaptation in Transformers with Hebbian and Gradient-Based Plasticity
Siddharth Chaudhary
Large language models display in-context learning as an emergent effect of scale, but they rely on static weights during inference. In contrast, biological systems continually adap…
Hydra: A Modular Architecture for Efficient Long-Context Reasoning
Siddharth Chaudhary, Dev Patel, Maheep Chaudhary +1
The quadratic complexity of transformers fundamentally limits reasoning system deployment in resource-constrained and long-context settings. We introduce Hydra, a modular architect…
Estimating Disaster Resilience of Hurricane Helene on Florida Counties
Reetwika Basu, Siddharth Chaudhary, Chinmay Deval +3
This paper presents a rapid approach to assessing disaster resilience in Florida, particularly regarding Hurricane Helene (2024). This category four storm made landfall on Florida'…