Papers
Deep, long-form breakdowns of recent research in AI, machine learning, security & programming languages.
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An Empirical Study of Harness Design for Coding Agents
by Run-Ze Fan, Zihao Zhang, Simin Ma, Yebowen Hu, Shouju Wang, Kaiqiang Song, Fei Liu, Hamed Zamani, Xiaoyang Wang
RetireOPD: Self-Retiring On-Policy Distillation for Agentic Reinforcement Learning
by Yan Yu, Zhengxi Lu, Yizhou Liu, Yichen Pan, Aozhe Wang, Qipeng Chen, Hua Yang, Wenqi Zhang, Weiming Lu, Qianglong Chen, Yongliang Shen
OPTED: On-Policy Fine-Tuning for End-to-End Driving using a Render-Free Teacher
by Damiano Da Col, Maximilian Igl, Peter Karkus, Kashyap Chitta, Boris Ivanovic, Marco Pavone, Konrad Schindler, Christos Sakaridis
RAFT: A Stateful Retrieval-Augmented Framework for Troubleshooting Agents
by Mingxuan Zhang, Xiaowen Wang, Anupma Sharan, Zhengyi Chen, Chenyu Diana Zhang, Shanshan Yang, Chittibabu Pacharu
MILER: Semantic Mid-Level Representation for Sim-to-Real Reinforcement Learning in Unstructured Autonomous Driving
by Thomas Steinecker, Denis Trescher, Alexander Bienemann, Thorsten Luettel, Mirko Maehlisch
Video DeltaNet: A Video-Native Hybrid Attention for Livestream Video Generation
by Haocheng Xi, Yiming Xie, Hexu Zhao, Yiwen Zhang, Michael Liu, Thomas Creavin, Kurt Keutzer, Xiuyu Li, Zhaoyang Lv, Chenfeng Xu, Haiwen Feng
Deep Noir: Autonomous Steering Discovery via Architectural Chronometry in Transformer Models
by Frank E. Bobe III, Gregory D. Vetaw, Darshan W. Bryner, Matthew G. Cook, Jose L. Salas-Vernis
Don't Mask the Environment: Observation Supervision Changes How Agents Explore Under RL
by Juzheng Zhang, Disha Makhija, Manoj Ghuhan Arivazhagan, Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah
Should This Case Be Adapted? Prediction Fragmentation Controls Test-Time Adaptation
by Lili Wang, Jing Li, Xiaowen Sun, Xiangyu Hu, Zhuangzhuang Gu, Jian Liu, Srihari Nelakuditi, Yan Tong
A Zeroth-Order Paradigm for LLM Preference Alignment
by Peter Chen, Xi Chen, Wotao Yin, Tianyi Lin