Research

arXiv4d ago

Architecting for Hardware Diversity: Meta's End-to-End Co-Design for High-Performance AI Training on AMD GPUs

arXiv3d ago

What Accuracy Hides In Learned Transformer Programs

arXiv3d ago

How Finite-Rank Bottlenecks Shape the Low-Rank Adaptation Landscape

arXiv3d ago

BMuon: Budgeting Muon's Spectral Geometry for Structured Compressibility

Hugging Face Daily Papers5d ago

Your Transformer Is Secretly Elastic

arXiv4d ago

OrderFlowDiT: Transport-Regularized Diffusion Transformer for Probabilistic Limit-Order Supply Forecasting

Hugging Face Daily Papers5d ago

RepForcing: Representation-Space Initialization for Autoregressive Video Distillation

Hugging Face Daily Papers5d ago

CoTranslator: Reverse to Forward Chain-of-Thought Translator for Reasoning Distillation

arXiv3d ago

Towards Hyperparameter Transfer for Differentially Private Optimization

arXiv3d ago

ToPA: Block-wise Toeplitz Adaptation for Expressive and Efficient Fine-Tuning

Hugging Face Daily Papers5d ago

DAGFormer: Global Topology Prediction for Transformer Cross-Layer Connections

arXiv4d ago

Rethinking Routing Exploration in Modern Mixture-of-Experts

Hugging Face Daily Papers5d ago

VASPO: Self-Distillation with Privileged Value Estimation

Hugging Face Daily Papers5d ago

Glance Forcing: Making Bidirectional Diffusion Autoregressive at a Glance

arXiv4d ago

Priming Base Models for Agentic Post-Training: An Open Midtraining Recipe

Hugging Face Daily Papers5d ago

The COUNT: Counting N-grams Unlocks Scaling on Host Memory and Training-Free Adaptation

Hugging Face Daily Papers5d ago

MorphAct: Robot Policies Morphing with the Worlds They Act In

arXiv3d ago

Ori: Drift-Aware Streaming $k$-PCA for Very Low-Rank LLM Training

Hugging Face Daily Papers6d ago

Tev: Scaling Long-Horizon Agentic Environments with Dense Progress Rewards

arXiv4d ago

Task Structure and Scalability in Multi-Robot Authoring

arXiv5d ago

Vertical Sliced Wasserstein Distances for Meta-Measures

arXiv4d ago

Topology-Inspired Fine-Tuning for Wind-Field Super-Resolution

arXiv4d ago

Compiling Multi-Threshold Operators for Quantized Non-Monotonic and Fine-Granular Activations in Custom-Tailored DNN Accelerators

arXiv4d ago

The Ephemeral Cost of Switching Optimizers Across LLM Training Stages

arXiv4d ago

FRACTAL: A Self-Similar Multi-Agent Orchestration Architecture with Formal Communication, Convergence, and Depth Bounds

arXiv4d ago

When Is Muon Optimal? Radial Fragility and Minimax Geometry

arXiv4d ago

Don't Retrain, Remix: Adaptation of Web Agents using Mixture Hypernetworks

arXiv4d ago

The importance of tensor handling and implementation of physics-informed DeepONets

arXiv4d ago

Personalized Projected Ascent for Federated Stackelberg Optimization

arXiv4d ago

HTN-Orchestrate: A Hierarchical Task Network Framework for Multi-Agent Orchestration

arXiv4d ago

FocusOPD: Structure-Guided On-Policy Distillation for Diffusion Models

arXiv4d ago

Interfaces and Modules: A Scalable Representation for Weight-Space Learning across Architectures

arXiv4d ago

Flat Loss, Evolving Features: Grokking in Modular Addition

Hugging Face Daily Papers4d ago

TIMERSI: Towards Self-Improved Agentic Deployment for Time-Series Foundation Models

arXiv4d ago

Federated Art Chase: Privacy Leakage and Data Poisoning in Federated Fine-Tuning

arXiv4d ago

Pairwise AUC Optimization Needs Corrective Power: A Unified View

arXiv4d ago

Ranking and Partitioning of Attention Heads for Sparse and Continual Reinforcement Learning Fine-tuning

arXiv5d ago

The Wealth of Agents: Scaling Agentic AI Across Developers

arXiv5d ago

A Mixture-of-Experts Framework for Multi-Stream Quickest Change Detection