Research
Paper
Hugging Face Daily Papers3d ago
Towards Looped Models Done Right, Part I: Topology, Input Injection, Recurrent-State Design
Paper
arXiv3d ago
One Communicator, Three Vendors: Extending the MoA Predictive Theory to a Real NVIDIA+AMD+CPU MPI Ensemble
PaperApple Machine Learning Research6d ago
Mix, Don't Tune: Bilingual Pre-Training Outperforms Hyperparameter Search in Data-Constrained Settings
Paper
Hugging Face Daily Papers4d ago
Explaining the Roles of Experts in Mixture-of-Experts LLMs for Personalization
Paper
Hugging Face Daily Papers5d ago
Cortex: Consolidating Context into Parametric Memory
Paper
arXiv3d ago
Local proxies for memory-efficient training
Paper
Hugging Face Daily Papers5d ago
LatentLoop: Scaling Looped MoE Models with Asymmetric Compute Allocation
Paper
arXiv3d ago
Minimax-optimal Scaling Laws in Ridge Regression via Transfer Learning
Paper
arXiv3d ago
Data-Efficient Classifier Pretraining Through Diffusion Models
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