activity
20242026
most citedGemma 2: Improving Open Language Models at a Practical Size

145 citations · 154 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2026

TMD-Bench: A Multi-Level Evaluation Paradigm for Music-Dance Co-Generation

Xiaoda Yang, Majun Zhang, Changhao Pan +10

Unified audio-visual generation is rapidly gaining industrial and creative relevance, enabling applications in virtual production and interactive media. However, when moving from g…

cs.LG2025

Target-Aware Early Stage Ranking

Juhee Hong, Meng Liu, Shengzhi Wang +18

Early Stage Ranking (ESR) in large-scale recommendation systems is dominated by ''user--item decoupling'' Two Tower architectures, which scale efficiently but cannot capture fine-g…

eess.AS2025

HunyuanVideo-Foley: Multimodal Diffusion with Representation Alignment for High-Fidelity Foley Audio Generation

Sizhe Shan, Qiulin Li, Yutao Cui +5

Recent advances in video generation produce visually realistic content, yet the absence of synchronized audio severely compromises immersion. To address key challenges in video-to-…

cs.CV2024★ 9 cited

HunyuanVideo: A Systematic Framework For Large Video Generative Models

Weijie Kong, Qi Tian, Zijian Zhang +49

Recent advancements in video generation have significantly impacted daily life for both individuals and industries. However, the leading video generation models remain closed-sourc…

cs.CL2024★ 145 cited

Gemma 2: Improving Open Language Models at a Practical Size

Gemma Team, Morgane Riviere, Shreya Pathak +195

In this work, we introduce Gemma 2, a new addition to the Gemma family of lightweight, state-of-the-art open models, ranging in scale from 2 billion to 27 billion parameters. In th…