5 papers
Paper Pilot: A Human-in-the-Loop Expert System for Evidence-Traceable Scientific Manuscript Generation in Applied Sciences
Nidhi Jha, Siddharth Chaudhary, Ajinkya Kulkarni
Large language model (LLM) agents are increasingly embedded in scientific workflows for literature analysis, drafting, and review. Existing systems advance autonomous discovery and…
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'…