Papers
Deep, long-form breakdowns of recent research in AI, machine learning, security & programming languages.
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StudentBench: AI and human tutoring yield equivalent GRE learning gains
by Curtis Northcutt, Inaara Hasmani, Kevin Feng, Trevor Khangi, Andreas Plesner, Jonas Mueller
Agent-Editing World Model: Rethinking World Modeling for LLM Agents
by Shuang Sun, Guoxin Chen, Fanzhe Meng, Jia Deng, Huatong Song, Jinhao Jiang, Wayne Xin Zhao, Hongteng Xu, Ji-Rong Wen
HARMONY: Hierarchical Agentic Reasoning for MONocular Image-to-Scene Synthesis
by Shufan Sun, Chen Wang, Enxin Song, Jiatao Gu, Lingjie Liu
CliffCompaction: Cost-Efficient Compaction for Long-Horizon Coding Agents
by Trang Nguyen, Eulrang Cho, Bingqing Chen, Tim Dettmers
SWE-Serve: Benchmarking Agentic Engineering For Production Inference Serving
by Jennifer Williams, Dave Farris, Jeff Farris, Jiantao Jiao
SARA: SLO-Aware Resource Allocation for Disaggregated Agentic LLM Services
by Shicong Liu, Xianghao Yu, Zhen Gao, Jun Zhang
Grow the Harness, Not the Context: From Strategy-Free Scaffolds to Reusable Specialist Agents
by Laizhen Li, Jiarui Li, Juanjuan Zhao, Kejiang Ye, Ye Li, Cheng-zhong Xu, Xitong Gao
Type-Safe Is Not Error-Free: A Constrained Decision Head Follows the Option Name, Not the Rubric Bound to It
by Yu Sun, Junhao Xu
Metrics Failure in LLM-Based Code Vulnerability Repair: An Empirical Study and a Change-Aware Screen
by Om Nepal, Sushant Aryal, Oluseyi Olukola, Nick Rahimi
Flash-dLLM: IO-Aware KV Caching and Parallel Decoding for Fast, Memory-Efficient Diffusion LLMs
by Quan Nguyen-Tri, Mukul Ranjan, Zhiqiang Shen