์ถํ Multi-distribution Learning: From Worst-Case Optimality to Lexicographic Min-Max Optimality Guanghui Wang, Umar Syed, Robert E. Schapire, Jacob Abernethy Algorithmic Learning Theory
์ถํ TailSFT: Filtered Fine-Tuning Improves Post-Training Performance Sadhika Malladi, Samy Jelassi, Dylan Foster, Jordan Ash, Akshay Krishnamurthy August 2026 arXiv | August 2026
์ถํ Dion3: Full-Stack Orthogonal Updates Noah Amsel, Jack Zhang, Kwangjun Ahn, Ali Naeimi, Austin Feng, Berlin Chen, Tri Dao, John Langford August 2026 arXiv | August 2026 Github
์ถํ Full-bandwidth transformer Xi (Ada) Wang, Ziyang Cai, Zheng Zhan, Harry Dong, Ying Fan, Gustavo de Rosa, Tim Pearce, John Langford August 2026 arXiv | August 2026
์ถํ ENCO: Deploying Production-Scale Engineering Copilots Yiwen Zhu, Mathieu Demarne, Kai Deng, Wenjing Wang, Nutan Sahoo, Hannah Lerner, Anjali Bhavan, Divya Vermareddy, Yunlei Lu, Swati Bararia, William Zhang, Xia Li, Katherine Lin, Miso Cilimdzic, Subru Krishnan 2026 SIGKDD’26 Applied Data Science Track | August 2026
์ถํ Algorithmic Grammar of Flexible Cognition: A Walk through Latent Operations Ida Momennejad August 2026 Preprint
์ถํ The Evolution of Digital Search: From Blue Links to Delegated Decision-Making David Rothschild, Nicole Immorlica, Brendan Lucier, Markus Mobius, Aleksandrs Slivkins July 2026 arXiv | July 2026
์ถํ The Price of Hidden Curvature: Anย ฮฉห(d5/4Tโโโ)ย Lower Bound for Bandit Convex Optimization Nived Rajaraman July 2026 arXiv | July 2026
์ถํ Learning to Reason with Curriculum II: Compositional Generalization Nived Rajaraman, Audrey Huang, Miro Dudรญk, Robert E. Schapire, Dylan Foster, Akshay Krishnamurthy June 2026 arXiv | June 2026
์ถํ A Compositional Framework for Open-ended Intelligence Ida Momennejad, Roberta Raileanu June 2026 arXiv | June 2026
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