HuggingFace
Amortizing Sequential Experimental Design in Reasoning LLMs
Despite their extensive pretraining knowledge and strong reasoning capabilities, large language models (LLMs) struggl...
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HuggingFace
Evaluating DeepSeek V4.1 Flash-1017 for loss of control and harmful manipulation risks
As frontier language models grow increasingly capable and autonomous, independent third-party evaluations are critica...
HuggingFace
Instruction Capacity: Behavior and Degradation of Language Models under Controlled Load
The quality with which language models follow instructions falls as the load grows, yet there is still no quantity th...
HuggingFace
Know, then Draw: A New Learning Paradigm for Visual Generation
Visual generation requires both high-level semantic knowledge and fine-grained pixel details. We propose a learning p...
HuggingFace
DTCA: Denoising Token Credit Assignment for Reinforcement Learning in Diffusion Language Models
Diffusion language models (DLMs) generate text through iterative denoising, enabling bidirectional context modeling a...
HuggingFace
Efficient Streaming Audio-Visual Target Speaker Extraction for Real-World Acoustic Scenes
Streaming audio-visual target speaker extraction (AVTSE) is essential for latency-sensitive applications. However, cu...
HuggingFace
OmniShowcase: Omnidirectional Subject-Consistent Video Generation from Multi-View Images
Generating videos of a specific subject from a few reference images remains challenging when the camera reveals surfa...
HuggingFace
TAO: Tool-Aware Joint Scheduling for LLM-Based Agentic Serving
Agentic services alternate between model inference on clustered GPUs and external tools on distributed CPUs. In this ...
HuggingFace
Sensorimotor Alignment: A Platonic Proxy for Embodied Policy Success
Robot foundation models are typically evaluated through costly closed-loop rollouts, motivating low-cost offline prox...
HuggingFace
OmniSpectra: A Unified Foundation Model for Universal Spectra Representation Learning
Standard sequence models encode position by token rank rather than physical coordinate, typically forcing practitione...
HuggingFace
HuGe: Scaling Humanoid Generalist Vision-Language-Action Models with Egocentric Experience
Extending Vision-Language-Action models (VLAs) to humanoid robots requires coordinated whole-body control and diverse...
HuggingFace
CausGround: Causal Interaction Grounding for Adaptive Embodied Planning
Multimodal large language models (MLLMs) show promising reasoning capabilities, but reliable physical interaction req...