HALO evaluates proactive agents with human annotations
HALO-8K dataset tests 10 models across 400 scenarios, revealing over-proactivity in 61.20% of rejections.
7 stories, newest first · one card per story
HALO-8K dataset tests 10 models across 400 scenarios, revealing over-proactivity in 61.20% of rejections.
The strongest model scores only 52.18% Ask-F1 across 438 videos labeled for wait, ask, and answer.
The benchmark has 4.1K evaluation and 85K training samples; timing and answer quality rose 10.7% over baselines.

Meta Muse, OpenAI Dots, and Uber's driver assistant push proactive messages, raising when agents should interrupt.
A paper defines 3T principles and PROACTIVITY-GYM for evaluating proactive LLM agents on capability, timing, and trust.
ExpActivator activates only situation-applicable GUI history, lifting step success 28% while using far fewer tokens.
Researchers propose a formal framework for governed proactive AI agency, linking activation decisions to continuing authorization, accountability, and bounded delegation in symbiotic systems.
Today 1.5K readers · 2.4K views · 754 reads · all time 189K views