activity
20242026
collaborators

6 papers

cs.CR2026

Provenance Verification of AI-Generated Images via a Perceptual Hash Registry Anchored on Blockchain

Apoorv Mohit, Bhavya Aggarwal, Chinmay Gondhalekar

The rapid advancement of artificial intelligence has made the generation of synthetic images widely accessible, increasing concerns related to misinformation, digital forgery, and…

cs.CL2025

SQuARE: Structured Query & Adaptive Retrieval Engine For Tabular Formats

Chinmay Gondhalekar, Urjitkumar Patel, Fang-Chun Yeh

Accurate question answering over real spreadsheets remains difficult due to multirow headers, merged cells, and unit annotations that disrupt naive chunking, while rigid SQL views…

cs.CV2025

AVATAAR: Agentic Video Answering via Temporal Adaptive Alignment and Reasoning

Urjitkumar Patel, Fang-Chun Yeh, Chinmay Gondhalekar

With the increasing prevalence of video content, effectively understanding and answering questions about long form videos has become essential for numerous applications. Although l…

cs.CL2025

MultiFinRAG: An Optimized Multimodal Retrieval-Augmented Generation (RAG) Framework for Financial Question Answering

Chinmay Gondhalekar, Urjitkumar Patel, Fang-Chun Yeh

Financial documents--such as 10-Ks, 10-Qs, and investor presentations--span hundreds of pages and combine diverse modalities, including dense narrative text, structured tables, and…

cs.CL2024

FANAL -- Financial Activity News Alerting Language Modeling Framework

Urjitkumar Patel, Fang-Chun Yeh, Chinmay Gondhalekar +1

In the rapidly evolving financial sector, the accurate and timely interpretation of market news is essential for stakeholders needing to navigate unpredictable events. This paper i…

cs.CR2024

CANAL -- Cyber Activity News Alerting Language Model: Empirical Approach vs. Expensive LLM

Urjitkumar Patel, Fang-Chun Yeh, Chinmay Gondhalekar

In today's digital landscape, where cyber attacks have become the norm, the detection of cyber attacks and threats is critically imperative across diverse domains. Our research pre…