… This creates a data-efficiency gap: humans can often infer the target evaluation criteria from only a few examples, while models are usually trained on hundreds of thousands of comparisons. …
…Advancing Reasoning Frontiers via Skill Composition and Complexity Scaling (2026) ShadowPEFT: Shadow Network for Parameter-Efficient Fine-Tuning (2026) EvolveRouter: Co-Evolving Routing and Prompt for Multi-Agent Question Answering (2026) Beyond…
…To efficiently measure this capability for realistic use-cases, we propose building grounded simulations that replay real- world events in the order they occurred. We build FutureSim, where agents forecast world events…