Papers by Shudong Yang
HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding (2026.acl-long)
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| Challenge: | Existing models struggle to maintain stable understanding performance and low GPU memory overhead. |
| Approach: | They propose a training-free architecture for real-time and accurate understanding of video streams . HERMES reuses a compact KV cache, enabling efficient streaming understanding . |
| Outcome: | The proposed architecture achieves 10 faster TTFT compared to prior SOTA. |
DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource Event Extraction (2023.findings-emnlp)
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| Challenge: | Current Event Extraction methods focus on high-resource scenarios, which requires large amount of annotated data. |
| Approach: | They propose a demonstration-based learning paradigm for EE to fully use annotated data . they propose EE as a natural language generation task guided by schema-based prompts . |
| Outcome: | The proposed model outperforms current methods in low-resource scenarios. |