Geethan Sannidhi

13 papers Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
Detection of Data Exposures in Software Services Using a Large Language Model.
SSE
Stephen S. Yau, Sourabh Goswami, Vaibhav Shrivastav, Geethan Sannidhi
2024 J jnl
Advancing Enterprise Spatio-Temporal Forecasting Applications: Data Mining Meets Instruction Tuning of Language Models For Multi-modal Time Series Analysis in Low-Resource Settings.
CoRR
Sakhinana Sagar Srinivas, Geethan Sannidhi, Chidaksh Ravuru, Venkataramana Runkana
2024 J jnl
Foundational Model for Electron Micrograph Analysis: Instruction-Tuning Small-Scale Language-and-Vision Assistant for Enterprise Adoption.
CoRR
Sakhinana Sagar Srinivas, Chidaksh Ravuru, Geethan Sannidhi, Venkataramana Runkana
2024 J jnl
Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models.
CoRR
Sagar Srinivas, Geethan Sannidhi, Venkataramana Runkana
2024 — conf
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis.
AAAI Spring Symposia
Sakhinana Sagar Srinivas, Geethan Sannidhi, Venkataramana Runkana
2024 J jnl
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis.
CoRR
Sakhinana Sagar Srinivas, Geethan Sannidhi, Venkataramana Runkana
2024 J jnl
Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis.
CoRR
Sakhinana Sagar Srinivas, Chidaksh Ravuru, Geethan Sannidhi, Venkataramana Runkana
2024 J jnl
Preliminary Investigations of a Multi-Faceted Robust and Synergistic Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision Transformers with Large Language and Multimodal Models.
CoRR
Sakhinana Sagar Srinivas, Geethan Sannidhi, Sreeja Gangasani, Chidaksh Ravuru, Venkataramana Runkana
2024 J jnl
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.
CoRR
Sakhinana Sagar Srinivas, Chidaksh Ravuru, Geethan Sannidhi, Venkataramana Runkana
2024 J jnl
Retrieval-Augmented Generation Meets Data-Driven Tabula Rasa Approach for Temporal Knowledge Graph Forecasting.
CoRR
Geethan Sannidhi, Sakhinana Sagar Srinivas, Venkataramana Runkana
2024 J jnl
Retrieval-Augmented Instruction Tuning for Automated Process Engineering Calculations : A Tool-Chaining Problem-Solving Framework with Attributable Reflection.
CoRR
Sakhinana Sagar Srinivas, Geethan Sannidhi, Venkataramana Runkana
2024 J jnl
Sparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysis.
CoRR
Sakhinana Sagar Srinivas, Geethan Sannidhi, Sreeja Gangasani, Chidaksh Ravuru, Venkataramana Runkana
2024 J jnl
Towards Human-Level Understanding of Complex Process Engineering Schematics: A Pedagogical, Introspective Multi-Agent Framework for Open-Domain Question Answering.
CoRR
Sakhinana Sagar Srinivas, Geethan Sannidhi, Venkataramana Runkana