arXiv
SM4RT: Learning Structured Motion Geometry for 4D Reconstruction
Geometry Foundation Models (GFMs) have substantially advanced monocular 3D reconstruction, yet extending this capabil...
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HuggingFace
Skill Self-Play: Pushing the Frontier of LLM Capability with Co-Evolving Skills
LLM training is shifting from manual design and annotation to interaction-driven self-evolution. However, existing se...
HuggingFace
SceneActBench: Can Agents Act on the 3D Scenes They See?
Vision-language model (VLM) agents increasingly use tools to act on 3D scenes rather than only describe them. Existin...
HuggingFace
Scaling Native Multimodal Pre-Training From Scratch
Although large language models (LLMs) exhibit remarkable reasoning capabilities, their reliance on text-only pre-trai...
HuggingFace
Closing the Loop: Training-Free Revisit Consistency for Autoregressive Generative Rendering
Recent conditional video generation models have shown promising potentials to transform 3D engine renderings, such as...
HuggingFace
Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning
Agentic reinforcement learning research is constant algorithm modification, new estimators, new pipeline stages, new ...
HuggingFace
LAMAR: An Open Language-Aware Multilingual Alignment Reranker
In multilingual retrieval augmented generation, a retriever can retrieve relevant documents written in multiple langu...
HuggingFace
VisCo: Leveraging Large Language Models as Intrinsic Encoders for Visual Token Compression
Vision-language models (VLMs) process large numbers of visual tokens, resulting in substantial inference latency and ...
HuggingFace
IDEAgent: Agentic Quality-Diversity Search for Research Idea Generation
Large Language Models (LLMs) have significantly automated the process of scientific discovery over the past few years...
HuggingFace
Agentic Context Management: Solving Agent Memory and Cost by Treating Them as Lifecycle and Architecture Problems
Production AI agents' failures are less often due to an inability to reason well and more often because they cannot m...
HuggingFace
Multi-Head Latent Control: A Unified Interface for LLM Agent Decision Making
Large language models are increasingly deployed as agents, but reliable agentic behavior requires more than next-toke...
HuggingFace
DataPrep-Bench: Benchmarking LLMs as Training Data Preparators
The quality of training data fundamentally determines the capabilities of large language models (LLMs), yet no unifie...