Papers

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machine learning Sep 11 From Protocols to Evidence: Bounded Claims for AI in Service of the Common Good by Nitesh V. Chawla, Paulo Benanti machine learning Sep 11 TART: A Modular Tool for Technique-Aware Audio-to-Tablature Guitar Transcription by Akshaj Gupta, Hwi Joo Park, Andrea Guzman, Shamak Gowda, Samhita Konduri, Jiachen Lian, Robin Netzorg, Gopala Anumanchipalli machine learning Sep 11 The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement by Yi Duan, Ying Liu, Zirui Tang, Haodong Chen, Jun Zhou, Yumou Liu, Bangrui Xu, Yukai Wu, Sidi Chen, Yuhan Zhou, Haoyu Wang, Xiaoyou Yu, Shaokun Han, Xuzhou Zhu, Le Zhou, Bolin Lu, Wei Zhou, Jiachen Liu, Nuozhou Fang, Jiaxin Tian, Ruoyu Chen, Yuxuan Li, Kai Zuo, Kaiyan Zhang, Jiantao Qiu, Conghui He, Guoliang Li, Bowen Zhou, Zhiyuan Liu, Zhoufutu Wen, Jihua Kang, Xuanhe Zhou, Fan Wu machine learning Sep 11 Model-Aware Schedules Improve Generation via Fiberwise Optimal Transport by Luyi Jia, Boyan Zhang, Yilun Liu, Steffen Rulands machine learning Sep 11 Generative Late-Interaction Embeddings For Visual Document Retrieval by Mohamed Eltahir, Talal Aloushan, Rose Khairoalsendi, Jana Shata, Mohammed Alhassan, Leen Alrehaili, Tanveer Hussain, Naeemullah Khan machine learning Sep 11 Thinking with Looped Flows by Ayhan Suleymanzade, Chanhyuk Lee, Floor Eijkelboom, Nicholas M. Boffi, İsmail İlkan Ceylan, Jinwoo Kim machine learning Sep 10 Semigroup-JEPA: Latent Dynamics Consistency for Zero-Shot Physics Generalization by Andy Zeyi Liu, Haoran Sun, Lucas Baker, Randall Balestriero, John Sous machine learning Sep 07 Distill Globally, Adapt Locally: Reasoning Distillation and Product-Type Test-Time Training for Scalable Trade-Up Recommendation by Siliang Liu, Mohammad Ghasemi, Sapan Patel, Amin Banitalebi-Dehkordi