Papers by Yipeng Yu
TaoType: Predicting Fine-Grained Typing Intent for Faster Search (2026.acl-industry)
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| Challenge: | Large-scale industrial ranking systems operate under stringent real-time performance requirements. |
| Approach: | They propose a client-side framework that determines whether a user’s query is complete at each typing . this method leverages client-based typing behavior for real-time early prediction . |
| Outcome: | The proposed framework achieves offline precision/recall/accuracy of 0.7936/0.8196/0.7742 and decreases online response time by 640.5193.65 milliseconds. |
When and Who? Conversation Transition Based on Bot-Agent Symbiosis Learning Network (2020.coling-main)
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| Challenge: | a bot-agent symbiosis is a method for transparent conversation transition in online customer service applications. |
| Approach: | They propose a bot-agent symbiosis approach to solve conversation transition problems . they provide user feedback and develop deep neural networks to predict the NPS . |
| Outcome: | The proposed approach outperforms state-of-the-art methods on real-time data generated from an online service support platform. |
SEAL: Structure and Element Aware Learning Improves Long Structured Document Retrieval (2025.emnlp-main)
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| Challenge: | Existing methods for document retrieval use contrastive learning on datasets lacking explicit structural information. |
| Approach: | They propose a contrastive learning framework that preserves semantic hierarchies and masked element alignment for fine-grained semantic discrimination. |
| Outcome: | The proposed framework preserves semantic hierarchies and masked element alignment for fine-grained semantic discrimination. |