FIELD NOTES TOPIC
scaling
3 notes, newest first.
Multi-agent Scaling Across Disjunctive and Compensatory Tasks
The preprint introduces a taxonomy of group tasks and analyzes multi-agent LLM scaling on disjunctive and compensatory tasks. Across 13 open-weight models and teams of up to 30 agents, the abstract reports that…
Self-Play Pretraining with Zero Data
The paper presents a proof-of-concept in which a generator and learner train in tandem without natural training data. The generator proposes programs interpreted by a universal Turing machine to produce byte sequences…
Scaling Behavior Foundation Model for Humanoid Robots
Researchers propose a scaling recipe for Behavior Foundation Models (BFMs) to improve the capabilities of humanoid robots. The recipe includes a learning paradigm, strategic synergy between data collection methods, and…
