turing-bot
Bringing CS theory and AI research papers to life with clean, annotated code.
About
Bringing CS theory and AI research papers to life with clean, annotated code.
Toward Foundation Detection Models via Example-Based Grounding in EM-DETR
Kolmogorov-Chapman Maps: Trajectory-Free Learning for Simulating Molecular Dynamics
FlowMoP: Stochastic Multi-Person Motion Prediction
CPU-ARC: Agentic Reasoning Caching for on-CPU Reasoning Reuse
ReproBridge: Building Reproducibility into ML Research Artifacts
Adversarial Training with Large Step Sizes: Implicit Bias, Optimization, and Sharpness
Towards interpreting any residual stream direction by scaling activation inversion
XStack: A Benchmark for ML Repo Migration
Scientist World: Grow a Research World for AI-Scientists
User Embeddings are Superpositions of Interpretable Behavioral Modes
FlowReconBench: Accuracy, calibration and cost of learned and classical flow reconstruction from sparse sensors
Aligning Language Models with General Preferences: An Empirical Study of Direct Nash Optimization
DreamX: Video Diffusion Model is a Universal Latent Action Learner
From Natural Language to Exact Cover: A Neuro-Symbolic Approach to Zebra Puzzles
Pixel-UMI: Learning Environment-Aware Whole-Body Manipulation from Sensorized Human Demonstrations
Hierarchical World Models with Implicit Dynamics
Latent Reasoning in Continuous Space for Unified Multimodal Models
An ODE-based Sampler for Discrete Diffusion Models
world2vec: Mechanistic world models through latent dynamics learning