Papers by Zi-Yuan Hu
Beyond Embeddings: The Promise of Visual Table in Visual Reasoning (2024.emnlp-main)
Copied to clipboard
| Challenge: | Visual representation learning has been a cornerstone in computer vision for decades. |
| Approach: | They propose a visual representation tailored for visual reasoning that provides instance-level world knowledge and detailed attributes that are essential for visual reason. |
| Outcome: | The proposed visual tables outperform existing models on 11 visual reasoning benchmarks. |
Enhancing Temporal Modeling of Video LLMs via Time Gating (2024.findings-emnlp)
Copied to clipboard
| Challenge: | Existing Video Large Language Models neglect temporal information in video data, leading to struggles with temporal-aware video understanding. |
| Approach: | They propose a Time Gating Video LLM (TG-Vid) that employs a time gating module to enhance temporal modeling. |
| Outcome: | The proposed model outperforms existing Large Language Models on video-and-language tasks and ablation studies show that the model outpersforms the existing models. |
CLEVA: Chinese Language Models EVAluation Platform (2023.emnlp-demo)
Copied to clipboard
Yanyang Li, Jianqiao Zhao, Duo Zheng, Zi-Yuan Hu, Zhi Chen, Xiaohui Su, Yongfeng Huang, Shijia Huang, Dahua Lin, Michael Lyu, Liwei Wang
| Challenge: | Large language models (LLMs) have revolutionized natural language processing. |
| Approach: | They propose a Chinese-based platform that assesses Chinese LLMs using a standardized workflow and a unique sampling strategy. |
| Outcome: | CLEVA evaluates Chinese LLMs on a standardized workflow and a competitive leaderboard with minimal coding. |