Author

Abhishek Kumar

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#artificial intelligence Preprint Oct 2026

Know What You Don't Know: Agentic Data Synthesis by Evolving Generation Space for Closed-Loop Learning

EvoSyn is proposed, a learning-feedback-driven multi-agent framework that organizes synthesis around a revisable state specifying what interaction factors can be deliberately generated and where synthesis effort should be allocated.

Wei Yang, Qing Ping, You-Zhi Luo et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Persistent Negatives for Adversarial Black-Box On-Policy Distillation

Persistent-negative adversarial distillation consistently improves performance over current methods at matched discriminator compute and yields smoother fresh-policy discriminator trajectories, with fewer below-chance dips.

Hai-Xu Ma, S. Lahrichi, Wei-Wei Li et al. · 0 citations