Papers

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machine learning Oct 14 Two Clocks: Why Larger Rollout Batches Learn Slower but Fail on Schedule in Reinforcement Learning with Verifiable Rewards by Yuante Li, Junwei Quan, Kai Qiu, Kate Zhang, Yicheng Tao ai Oct 12 Can Language Models Play the Wikipedia Game? by Alexander Hickey, Joanna Knight, James Bishop machine learning Oct 12 AI Models Can Provably Hide Arbitrary Capabilities by Andis Draguns, Sumeet Ramesh Motwani, Raymond Douglas, Christian Schroeder de Witt machine learning Oct 12 Designing Protein Structures from Natural Language by Joseph Lee, Yanjing Li, Bo Qiang, Gregory Lau, Allyson Ettinger, Noah A. Smith, Rory Donovan-Maiye, David Baker, Hanna Hajishirzi, Pang Wei Koh machine learning Oct 12 Revisiting Tabular Deep Regression: Objectives and the Limits of Global Early Stopping by Danil Rudenko, Georgii Bulgakov, Nikolay Kartashev, Ivan Rubachev, Daniil Krasylnikov, Artem Babenko ai Oct 12 RATED: Reliability-Aware AI Agent Tool Retrieval via Execution Dynamics by Weiliang Chen, Song Liao ai Oct 12 X-AgentRed: Red-Teaming Personal Agents in Evolving Multi-Service Ecosystems by Yeonsung Jung, Zhiyuan Wang, Zifan Wang, Vítor Albiero, Benjamin Newman, Edoardo Debenedetti, Ivan Evtimov, Ninareh Mehrabi machine learning Oct 12 Prediction Is Not a Sufficient Memory State by Robert Jenkinson Alvarez machine learning Oct 12 Partially Informed Stochastic Optimization via Zeroth-Order Residual Tracking by El Mahdi Chayti, Alireza Mirrokni, Martin Jaggi ai Oct 12 Ask Your Advisor: Learning When to Consult Stronger Models in Agentic Systems by Pascal Sowietzki, Steffen Holter, Yannick Metz, Emil Kasper, Raphael Baur, Mennatallah El-Assady