Papers

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machine learning Oct 08 Decoupling Exploration from Optimization in RLVR by Saif Punjwani, Micah Goldblum machine learning Oct 08 Distilling Graph Geometry: Knowledge Gap from GNNs to MLPs by Zhewei Chen, Hao Zhu, Jiaojiao Jiang, Ahad N. Zehmakan machine learning Oct 08 Why Forget-Only Unlearning Needs Memorization by Luka Radić, Vikrant Singhal, Amartya Sanyal ai Oct 08 RoboJEPA: Scaling Robotic Latent World Models by Artem Zholus, Nicolas Beltran-Velez, Jianhao Yuan, Sarath Chandar, Tushar Nagarajan, Daniel Severo, Koustuv Sinha, Michal Drozdzal, Adriana Romero Soriano, Jeannette Bohg, Nicolas Ballas, Mahmoud Assran ai Oct 08 SciExam for ENSO: Can AI Agents Build Climate Models? by Yinling Zhang, Langchen Liu, Dongbin Xiu, Xueyan Zou, Xu Kuang, Mengdi Wang, Shilong Liu machine learning Oct 08 Your Prompt Should Do More: Effects of Retrieval Instructions in Embedding Models by Amanda Myntti, Jenna Kanerva, Veronika Laippala, Filip Ginter ai Oct 08 RECAST: Learning to Compute the Right Context through Adaptive Evidence Routing by Yilun Hao, Krishna Sayana, Isabella Ye, James S Ren, Sukhdeep Sodhi, Craig Boutilier, Chuchu Fan ai Oct 08 Validity Without Ground Truth: What Stated-Preference Economics Offers the Evaluation of Language Models by Daniel Robert Kling Alexander, Catherine Louise Kling ai Oct 08 EmbodiedRSI: Active Continual Robot Learning Through Hypothesis-Guided Co-Evolution by Python Song, Zhixuan Liang, Kelsey Fu, Mengdi Wang, Junfeng Yang, Shilong Liu machine learning Oct 07 Conformal Prediction Sets Quantify Information Gain: A Theoretical Perspective by Kevin Zhang, Stephen Bates