Papers
Deep, long-form breakdowns of recent research in AI, machine learning, security & programming languages.
Beyond Compression: Training Latent Representations for Stable Long-Horizon Rollout in Neural Surrogate Solvers
by Andreas E. Robertson, Ashley T. Lenau, John D. Shimanek, Benjamin A. Jasperson, Vivek Oommen, David L. Damm, Krishna Garikipati, Remi Dingreville
SAGE: Mitigating Long-Horizon Reasoning Biases via Topological Guidance
by Xinyue Zeng, Jiawei Zhang, Yujun Yan, Dawei Zhou
NEUROTESTGEN: Neuro-Symbolic Guided Test Generation with Large Language Models
by Ruixin Zhang, Jiho Shin, Hung Viet Pham, Song Wang
Search-Aware Reinforcement Learning for Multi-Component Query Understanding in Roblox Game Search
by Nayoung Choi, Shengjian Chen, Xiaokai Wei, Wenzheng Zhang, Daiyao Yi, Rachit Pareek, Vincent Su, Michelle Gong, Jinho D. Choi
GridSFM: A Foundation Model for Solving AC Optimal Power Flow
by Luke Bhan, Weiwei Yang, Margaret Capetz, Baosen Zhang
Ego-Exo4D Human Meshes Dataset: 4D Human Motion Reconstruction for Ego-Exo Captures
by Abhiram Maddukuri, Georgios Pavlakos
GRASP: Generating, Revising, and Assessing for Strategic Planning with Agentic AI
by Arunabh Srivastava, Mohammad A. (Amir) Khojastepour, Srimat Chakradhar, Sennur Ulukus
Intrinsic-Extrinsic Coupling in Learning Dynamics
by Qinyou Wang
Can LLMs Reason About Runtime Behavior? A Repository-Level Dynamic Benchmark
by Hamed Taherkhani, Mohammad Abdollahi, Melika Sepidband, Hridya Dhulipala, Tien N. Nguyen, Hadi Hemmati
StudentBench: AI and human tutoring yield equivalent GRE learning gains
by Curtis Northcutt, Inaara Hasmani, Kevin Feng, Trevor Khangi, Andreas Plesner, Jonas Mueller