Author

William M. Campbell

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#artificial intelligence Preprint Aug 2026

AcCoRD: Evaluating User-Agent Collaboration Under Realistic User Preference Dynamics

This work introduces AcCoRD, a user-agent collaboration benchmark requiring agents to handle diverse user preference dynamics in two domains: online shopping and travel planning, and evaluates five frontier LLMs under two prompting strategies: vanilla ReAct, and an uncertainty-guided variant that prompts models to identify and resolve ambiguity about user preferences.

Tejas Srinivasan, Shikib Mehri, Nandita Shankar Naik et al. · 0 citations

Preprint Aug 2026

Efficient Reinforcement Learning for Long-Horizon Tool-Use Agentic Tasks

SINKFLEX-RL, a modular training system for RL in dual-control tool-use environments that combines a Gymnasium-compatible environment wrapper, a VERL-style rollout dataflow, group-relative policy optimization without a separate value model, and a sink-aware FlexAttention path designed to preserve model-specific sink scaling under causal and sliding-window masks is presented.

Zelei Cheng, Amritansh Mishra, Sambit Sahu et al. · 0 citations