HuggingFace

Hunyuan3D-Buffalo 1.0: A Unified Multimodal Model for Scalable 3D Generation, Understanding, and Editing

Recent advances in image generation have demonstrated the potential of unified multimodal models that integrate under...

AI 聚合
2026-08-05
HuggingFace

JoyAI-Video-Edit: Real-Time Open-Ended Video Editing with Autoregressive Diffusion

Real-time video editing requires low-latency causal generation with bounded computational resources while preserving ...

AI 聚合
2026-08-05
HuggingFace

TurnSight: Turn-Level Hindsight Self-Distillation for Tool-Integrated Reasoning

Tool-Integrated Reasoning (TIR) enables LLMs to solve complex tasks through iterative tool interactions. However, exi...

AI 聚合
2026-08-05
HuggingFace

CAPEval: A Decoupled Caption Evaluation across Understanding and Generation

Captions serve as a primary supervision signal for both multimodal understanding and text-to-image generation. Howeve...

AI 聚合
2026-08-05
HuggingFace

AURORA-LM: Autoencoding Unified Representation for Continuous-Latent Diffusion Language Modeling

Language remains an outlier in generative modeling: while images, video, and audio are increasingly modeled in contin...

AI 聚合
2026-08-05
HuggingFace

OmniPack: Unified Token Compression for Efficient Omni-modal Large Language Models

Omni-modal large language models (Omni-LLMs) have achieved remarkable performance on audio-visual understanding tasks...

AI 聚合
2026-08-05
HuggingFace

PCSD: Persistent Consistency for Self-Distillation in Agentic Reinforcement Learning

Large language model agents have shown strong potential in complex interactive tasks, yet their reinforcement learnin...

AI 聚合
2026-08-05
HuggingFace

PAST-Bench: Benchmarking the Foundations of Recursive Self-Improvement in Personal Agents

Recursive self-improvement requires agents to turn accumulated experience into better future behavior. Personal AI ag...

AI 聚合
2026-08-05
HuggingFace

Knowledge-Geometry Decoupling: Refreshable Pretrained Transfer for Streaming Recommendation

Industrial recommenders increasingly adopt the pretrain-then-transfer paradigm, yet behavioral distribution drift rai...

AI 聚合
2026-08-05
HuggingFace

ExplainBench: Evaluating Code Explanations from Agents

Large Language Model (LLM) agents have seen rapid adoption in software engineering. As agents take a greater role in ...

AI 聚合
2026-08-05
HuggingFace

Quo Vadis, World Modeling?

Continually improving agents require dynamic interaction feedback beyond static supervision, yet direct real-environm...

AI 聚合
2026-08-05
HuggingFace

ST-WAM: Semantic-Temporal World Action Model for Robust Manipulation under Visual Distribution Shifts

World Action Models (WAMs) have emerged as a promising paradigm by jointly modeling robot actions and future visual d...

AI 聚合
2026-08-05
首页 上一页 第 83 / 215 页 下一页 末页