13 citations · 16 across the 8 of their papers we have counts for
8 papers
InsightSeg: Reusing Correction Insights for Guideline-Consistent Segmentation
Vanshika Vats, Ashwani Rathee, James Davis
Guideline-consistent semantic segmentation requires more than category recognition, as real-world labeling policies demand fine-grained, task-specific decisions. Recent multi-agent…
Hidden in Plain Text: Measuring LLM Deception Quality Against Human Baselines Using Social Deduction Games
Christopher Kao, Vanshika Vats, James Davis
Large Language Model (LLM) agents are increasingly used in many applications, raising concerns about their safety. While previous work has shown that LLMs can deceive in controlled…
Guideline-Consistent Segmentation via Multi-Agent Refinement
Vanshika Vats, Ashwani Rathee, James Davis
Semantic segmentation in real-world applications often requires not only accurate masks but also strict adherence to textual labeling guidelines. These guidelines are typically com…
Few-shot Novel View Synthesis using Depth Aware 3D Gaussian Splatting
Raja Kumar, Vanshika Vats
3D Gaussian splatting has surpassed neural radiance field methods in novel view synthesis by achieving lower computational costs and real-time high-quality rendering. Although it p…
VaLID: Verification as Late Integration of Detections for LiDAR-Camera Fusion
Vanshika Vats, Marzia Binta Nizam, James Davis
Vehicle object detection benefits from both LiDAR and camera data, with LiDAR offering superior performance in many scenarios. Fusion of these modalities further enhances accuracy,…
A Survey on Human-AI Collaboration with Large Foundation Models
Vanshika Vats, Marzia Binta Nizam, Minghao Liu +20
As the capabilities of artificial intelligence (AI) continue to expand rapidly, Human-AI (HAI) Collaboration, combining human intellect and AI systems, has become pivotal for advan…
Assessing the Impact of Prompting Methods on ChatGPT's Mathematical Capabilities
Yuhao Chen, Chloe Wong, Hanwen Yang +11
This study critically evaluates the efficacy of prompting methods in enhancing the mathematical reasoning capability of large language models (LLMs). The investigation uses three p…
SURF-SVM Based Identification and Classification of Gastrointestinal Diseases in Wireless Capsule Endoscopy
Vanshika Vats, Pooja Goel, Amodini Agarwal +1
Endoscopy provides a major contribution to the diagnosis of the Gastrointestinal Tract (GIT) diseases. With Colon Endoscopy having its certain limitations, Wireless Capsule Endosco…