2 papers
cs.RO2026
The Yes-Man Syndrome: Benchmarking Abstention in Embodied Robotic Agents
Doguhan Yeke, Elif Su Temirel, Ananth Shreekumar +3
Vision-language models (VLMs) are used as high-level planners for embodied agents, translating natural language instructions and visual observations into action plans. While prior…
cs.CR2025
Investigating the Impact of Dark Patterns on LLM-Based Web Agents
Devin Ersoy, Brandon Lee, Ananth Shreekumar +4
As users increasingly turn to large language model (LLM) based web agents to automate online tasks, agents may encounter dark patterns: deceptive user interface designs that manipu…