2 citations · 3 across the 5 of their papers we have counts for
5 papers
Search over the Visual World: Persistent Visual Memory, Layered Indexes, and Source-Grounded Evidence
Sankalp Nagaonkar, Rohit Garg, Ankit Raj +2
Most video-retrieval systems assume a bounded corpus and return ranked files or timestamps. Agents operating over cameras, screens, streams, and archives face a different systems p…
Do Thought Streams Matter? Evaluating Reasoning in Gemini Vision-Language Models for Video Scene Understanding
Shivam Sharma, Sankalp Nagaonkar, Ashish Choithani +1
We benchmark how internal reasoning traces, which we call thought streams, affect video scene understanding in vision-language models. Using four configurations of Google's Gemini…
BarrierBench: Evaluating Large Language Models for Safety Verification in Dynamical Systems
Ali Taheri, Alireza Taban, Sadegh Soudjani +1
Safety verification of dynamical systems via barrier certificates is essential for ensuring correctness in autonomous applications. Synthesizing these certificates involves discove…
Benchmarking Vision-Language Models on Optical Character Recognition in Dynamic Video Environments
Sankalp Nagaonkar, Augustya Sharma, Ashish Choithani +1
This paper introduces an open-source benchmark for evaluating Vision-Language Models (VLMs) on Optical Character Recognition (OCR) tasks in dynamic video environments. We present a…
Analyzing the Effectiveness of Large Language Models on Text-to-SQL Synthesis
Richard Roberson, Gowtham Kaki, Ashutosh Trivedi
This study investigates various approaches to using Large Language Models (LLMs) for Text-to-SQL program synthesis, focusing on the outcomes and insights derived. Employing the pop…