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eess.SY2026
ML-OPF-Bench: Benchmarking Machine Learning for Optimal Power Flow
Xinyi Liu, Xuan He, Danny H. K. Tsang +1
Machine Learning (ML) methods promise a fast solution process for Optimal Power Flow (OPF). While inconsistent test cases, implementations, and evaluation metrics across existing s…
cs.AI2026
Beyond Imitation: Filtering On-Policy Distillation by Reasoning Progress
Chen Yang, Haiyuan Wan, Rengrong Xiong +2
On-policy distillation (OPD) has emerged as an effective framework for post-training language models by pairing student-generated trajectories with dense token-level supervision fr…