Papers
Deep, long-form breakdowns of recent research in AI, machine learning, security & programming languages.
Right Tool, Right Job: Native-Language Evaluation, Tokenizer Sensitivity, and Methodological Findings from a French-Only BabyLM
by Adam Zachary Wasserman, David Beauchemin
Learning-Guided Planning in Large Dynamic Action Spaces: Budgeted Tree Search for One-to-Many Mobile Charging
by Liang-Ching Tao, Pi-Chung Wang
Talking Head Synthesis with Facial Landmark Guidance via 3D Gaussian Splatting
by Ziheng Yang, Yinfeng Yu, Yongming Li
Transformer-Based Token Fusion and Dynamic Graph Planning for Audio-Visual Navigation
by Shaohang Wu, Yinfeng Yu
World Model Science: Self-Organized Criticality, Weak Chaos, and Metastable Belief Dynamics in Long-Horizon LLM Agents
by Xinyuan Song, Zekun Cai
Knowledge as Orbit: Finite Collections as Phases of an Exactly Periodic Latent Generator
by Siddharth Pal, Viktoria Rojkova
Corrupt Plans, Clean Traces: Evading Chain-of-Thought Monitoring with Plan Injection
by Keertana Chidambaram, Andrew Ilyas, Vasilis Syrgkanis
Stellar Colosseum: A Many-Agent Harness for Long-Horizon Research in Mathematics and Theoretical Computer Science
by Honghao Lin, David P. Woodruff, Yuan Deng, Jieming Mao, Song Zuo, Vahab Mirrokni
Disentangling Representation Evolution in Transformers through Directional Decomposition
by Shwai He, Haichao Zhang, Shen Yan
ResSafe: Learning Safety Filtering with Residual Reinforcement Learning for Humanoids
by Gechen Qu, Tong Zhang, Bike Zhang, Yen-Jen Wang, Koushil Sreenath, Claire Tomlin, Jason Jangho Choi