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[ICML 2025] Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale
Revisiting Mid-training in the Era of Reinforcement Learning Scaling
[COLM 2026] MegaScience: Pushing the Frontiers of Post-Training Datasets for Science Reasoning
Scalable Meta-Evaluation of LLMs as Evaluators
BeHonest: Benchmarking Honesty in Large Language Models
Reproducible and flexible LLM evaluations for scientific reasoning.
AcademiClaw: When Students Set Challenges for AI Agents — a bilingual benchmark of 80 university student-sourced academic tasks.
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