RESTORE: Graph Embedding Assessment Through Reconstruction. - Hong Yung Yip; Chidaksh Ravuru; Neelabha Banerjee; Shashwat Jha; Amit P. Sheth; Aman Chadha; Amitava Das 001 (CoRR, 2023)

Foundational Model for Electron Micrograph Analysis: Instruction-Tuning Small-Scale Language-and-Vision Assistant for Enterprise Adoption. - Sakhinana Sagar Srinivas 001; Chidaksh Ravuru; Geethan Sannidhi; Venkataramana Runkana (CoRR, 2024)

Preliminary Investigations of a Multi-Faceted Robust and Synergistic Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision Transformers with Large Language and Multimodal Models. - Sakhinana Sagar Srinivas 001; Geethan Sannidhi; Sreeja Gangasani; Chidaksh Ravuru; Venkataramana Runkana (CoRR, 2024)

Advancing Enterprise Spatio-Temporal Forecasting Applications: Data Mining Meets Instruction Tuning of Language Models For Multi-modal Time Series Analysis in Low-Resource Settings. - Sakhinana Sagar Srinivas 001; Geethan Sannidhi; Chidaksh Ravuru; Venkataramana Runkana (CoRR, 2024)

Reprogramming Foundational Large Language Models(LLMs) for Enterprise Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New Era in Copilot-Guided Cross-Modal Time Series Representation Learning. - Sakhinana Sagar Srinivas 001; Chidaksh Ravuru; Geethan Sannidhi; Venkataramana Runkana (CoRR, 2024)

Agentic Retrieval-Augmented Generation for Time Series Analysis. - Chidaksh Ravuru; Sakhinana Sagar Srinivas 001; Venkataramana Runkana (CoRR, 2024)

Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis. - Sakhinana Sagar Srinivas 001; Chidaksh Ravuru; Geethan Sannidhi; Venkataramana Runkana (CoRR, 2024)

Sparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysis. - Sakhinana Sagar Srinivas 001; Geethan Sannidhi; Sreeja Gangasani; Chidaksh Ravuru; Venkataramana Runkana (CoRR, 2024)