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
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski