2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CL2026★ 1 cited
e5-omni: Explicit Cross-modal Alignment for Omni-modal Embeddings
Haonan Chen, Sicheng Gao, Radu Timofte +2
Modern information systems often involve different types of items, e.g., a text query, an image, a video clip, or an audio segment. This motivates omni-modal embedding models that…
cs.IR2024★ 2 cited
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation
Yiruo Cheng, Kelong Mao, Ziliang Zhao +6
Retrieval-Augmented Generation (RAG) has become a powerful paradigm for enhancing large language models (LLMs) through external knowledge retrieval. Despite its widespread attentio…
cs.IR2024★ 1 cited
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…