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S. University

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#artificial intelligence Preprint Aug 2026

DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology

DoGMA demonstrates that domain-specific inductive biases can improve the robustness and transferability of multi-omics foundation models, offering new insights into the design of attention mechanisms for multi-omics representation learning.

Junfei Ling, Bangzheng Pu, Bing-Sen Xue et al. · 0 citations

Preprint Aug 2026

From Test-Time Scaling to Reusable Memory: Measuring Crystallization in Text-to-SQL

Test-time scaling can correct difficult text-to-SQL queries, but the extra computation is normally discarded after each answer. Systems increasingly retain verified repair episodes, yet evaluations still report one end-to-end score. It cannot distinguish replay on recurring questions from help on unseen questions, or i...

Jia-Qian Wang, Yu-Tao Qi, Wen-Qi Hou et al. · 0 citations