4 papers
PEDESTRIANQA: A Benchmark for Vision-Language Models on Pedestrian Intention and Trajectory Prediction
Naman Mishra, Shankar Gangisetty, C. V. Jawahar
Pedestrian intention and trajectory prediction are critical for the safe deployment of autonomous driving systems, directly influencing navigation decisions in complex traffic envi…
CREST: Universal Safety Guardrails Through Cluster-Guided Cross-Lingual Transfer
Lavish Bansal, Naman Mishra
Ensuring content safety in large language models (LLMs) is essential for their deployment in real-world applications. However, existing safety guardrails are predominantly tailored…
Report on Nearest Dominating Point Queries
Naman Mishra, K S Sreeramji
Given two points , we say that dominates and write if each coordinate of is larger than the corresponding coordinate of . That is,…
Invisible Traces: Using Hybrid Fingerprinting to identify underlying LLMs in GenAI Apps
Devansh Bhardwaj, Naman Mishra
Fingerprinting refers to the process of identifying underlying Machine Learning (ML) models of AI Systemts, such as Large Language Models (LLMs), by analyzing their unique characte…