works on

From the 1 of 37 linked papers with an AI index.

activity
20242026
collaborators
Showing 2025Show all

16 papers · 1 filter

cs.IR2025

A Real-Time System to Populate FRA Form 57 from News

Chansong Lim, Haz Sameen Shahgir, Yue Dong +2

Local railway committees need timely situational awareness after highway-rail grade crossing incidents, yet official Federal Railroad Administration (FRA) investigations can take d…

cs.CV2025

AD-SAM: Fine-Tuning the Segment Anything Vision Foundation Model for Autonomous Driving Perception

Mario Camarena, Het Patel, Fatemeh Nazari +3

This paper presents the Autonomous Driving Segment Anything Model (AD-SAM), a fine-tuned vision foundation model for semantic segmentation in autonomous driving (AD). AD-SAM extend…

cs.LG2025

Preliminary Use of Vision Language Model Driven Extraction of Mouse Behavior Towards Understanding Fear Expression

Paimon Goulart, Jordan Steinhauser, Kylene Shuler +3

Integration of diverse data will be a pivotal step towards improving scientific explorations in many disciplines. This work establishes a vision-language model (VLM) that encodes v…

cs.CL2025

Do Internal Layers of LLMs Reveal Patterns for Jailbreak Detection?

Sri Durga Sai Sowmya Kadali, Evangelos E. Papalexakis

Jailbreaking large language models (LLMs) has emerged as a pressing concern with the increasing prevalence and accessibility of conversational LLMs. Adversarial users often exploit…

cs.LG2025

Surrogate Modeling for the Design of Optimal Lattice Structures using Tensor Completion

Shaan Pakala, Aldair E. Gongora, Brian Giera +1

When designing new materials, it is often necessary to design a material with specific desired properties. Unfortunately, as new design variables are added, the search space grows…

cs.CV2025

Robust Vision-Language Models via Tensor Decomposition: A Defense Against Adversarial Attacks

Het Patel, Muzammil Allie, Qian Zhang +2

Vision language models (VLMs) excel in multimodal understanding but are prone to adversarial attacks. Existing defenses often demand costly retraining or significant architecture c…