4 papers
Thinking Ahead: Prospection-Guided Retrieval of Memory with Language Models
Harshita Chopra, Krishna Kant Chintalapudi, Suman Nath +2
Long-horizon personalization requires dialogue assistants to retrieve user-specific facts from extended interaction histories. In practice, many relevant facts often have low seman…
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…
Deep Reasoning in General Purpose Agents via Structured Meta-Cognition
Dean Light, Michael Theologitis, Kshitish Ghate +7
Humans intuitively solve complex problems by flexibly shifting among reasoning modes: they plan, execute, revise intermediate goals, resolve ambiguity through associative judgment,…
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…