1 citations · 1 across the 2 of their papers we have counts for
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Douyin Multimodal Embedding Model Technical Report
Haonan Chen, Chu Li, Zhicheng Wang +4
Multimodal representation learning is a cornerstone of modern AI. By encoding multimodal queries and targets into vectors, it powers industrial search and recommendation and underp…
Chain-of-Retrieval Augmented Generation
Liang Wang, Haonan Chen, Nan Yang +3
This paper introduces an approach for training o1-like RAG models that retrieve and reason over relevant information step by step before generating the final answer. Conventional R…
Query-oriented Data Augmentation for Session Search
Haonan Chen, Zhicheng Dou, Yutao Zhu +1
Modeling contextual information in a search session has drawn more and more attention when understanding complex user intents. Recent methods are all data-driven, i.e., they train…
Enhancing Multi-field B2B Cloud Solution Matching via Contrastive Pre-training
Haonan Chen, Zhicheng Dou, Xuetong Hao +3
Cloud solutions have gained significant popularity in the technology industry as they offer a combination of services and tools to tackle specific problems. However, despite their…
ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval
Kelong Mao, Chenlong Deng, Haonan Chen +4
Conversational search requires accurate interpretation of user intent from complex multi-turn contexts. This paper presents ChatRetriever, which inherits the strong generalization…