HuggingFace
Imprint Reader: From Weight-Update Readout to Behavioral Intervention
As language models take a growing role in AI development, a natural aspiration is for them to reflect on their own le...
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HuggingFace
QwenGyre: An Elastic Reinforcement Learning Framework for Training xLong-Horizon Agents
Large language model (LLM) agents increasingly undertake extreme-long (xlong) horizon tasks, where a single execution...
HuggingFace
Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization
Deep learning problems rarely involve objectives that are equal in importance. A primary objective defines the goal, ...
HuggingFace
In-Flight KV Cache with Clean Anchors for Faster Autoregressive Video Diffusion
Few-step autoregressive video diffusion generates a long video by splitting the video into temporal chunks and genera...
HuggingFace
NanoForecast v0.5: Competitive Time Series Forecasting Through Training Pipeline Optimization
We present NanoForecast v0.5, a 6.5M-parameter forecaster that competes with models 31x its size (TimesFM, 200M param...
HuggingFace
Safe Error Correction for Language Models: Frozen-Base Adjustment with Capability Preservation
We study a practical question: can a small correction module fix errors in a frozen language model's outputs without ...
HuggingFace
An RL View of OPD: Least Square Policy Distillation for Sample-Efficient LLM Reasoning
We study on-policy distillation (OPD) through the lens of reinforcement learning, establishing a connection between t...
HuggingFace
Change the Product, Keep the Parameters: Associative Algebra Layers for Transformers
Fast matrix multiplication algorithms keep the product fixed and search for a cheaper way to evaluate it. We instead ...
HuggingFace
KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation
High-performance GPU kernels are essential to modern machine learning systems, yet automatically generating kernels t...
HuggingFace
What masking geometry works best for EEG foundation models?
EEG foundation models hold promise for scalable brain-signal decoding across clinical and cognitive neuroscience appl...
HuggingFace
SMAT: Simple and Efficient Merge-Aware Training
Model merging integrates the capabilities of multiple experts without joint retraining, but standard expert training ...
HuggingFace
Recursive Harness Distillation across Agents for Robot Manipulation
A central goal in robotics is to enable manipulation across changing tasks and environments. Vision-language-action (...