Self-Organizing Agent Teams Learn to Reason Together
The paper argues that team organization can be learned as an agent capability, not fixed by hand.
Its Self-Organizing Agent Teams learn reusable collaboration strategies from small sets of prior problems, then transfer them unchanged to unseen math, physics, and knowledge benchmarks. The authors report 66.7% average accuracy across five math and physics benchmarks, above the strongest individual agent and several compute-matched baselines. The gains were largest when correct reasoning was easier for the team to recognize once surfaced, a property the paper calls demonstrability. HF Daily Papers' note
Its Self-Organizing Agent Teams learn reusable collaboration strategies from small sets of prior problems, then transfer them unchanged to unseen math, physics, and knowledge benchmarks. The authors report 66.7% average accuracy across five math and physics benchmarks, above the strongest individual agent and several compute-matched baselines. The gains were largest when correct reasoning was easier for the team to recognize once surfaced, a property the paper calls demonstrability. HF Daily Papers' note
score 5