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cs.AI2026
SimGuide: Typed Multi-Context User Representations for Preference-Conditioned Agent Planning
Chirag Shah
Agents that act on a user's behalf must plan differently for different users, and increasingly do so from some structured representation of user context and not from raw interactio…
cs.AI2026
Beyond Cooperative Simulators: Generating Realistic User Personas for Robust Evaluation of LLM Agents
Harshita Chopra, Kshitish Ghate, Aylin Caliskan +3
Large Language Model (LLM) agents are increasingly deployed in settings where they interact with a wide variety of people, including users who are unclear, impatient, or reluctant…
cs.AI2024
Agents Are Not Enough
Chirag Shah, Ryen W. White
In the midst of the growing integration of Artificial Intelligence (AI) into various aspects of our lives, agents are experiencing a resurgence. These autonomous programs that act…