MMLU-Pro holds steady at 85.0, AIME 2025 slightly improves to 89.3, while GPQA-Diamond dips from 80.7 to 79.9. Coding and agent benchmarks tell a similar story, with Codeforces ratings rising from ...
Objective To develop and validate a novel risk prediction model for incident major adverse liver outcomes (MALO) in a primary care setting. Design Population based cohort study. Setting Sweden, with ...
A new class of highly efficient and scalable quantum low-density parity-check error correction codes, capable of performance ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback