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20202026
most citedA Survey on Human-AI Collaboration with Large Foundation Models

13 citations · 16 across the 8 of their papers we have counts for

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2 papers · 1 filter

cs.CV2026

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…

cs.AI2026

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…