activity
20232026
most citedRAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards

1 citations · 1 across the 9 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

cs.IR2023

MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin

Tianshuo Zhou, Sen Mei, Xinze Li +5

This paper proposes Multi-modAl Retrieval model via Visual modulE pLugin (MARVEL), which learns an embedding space for queries and multi-modal documents to conduct retrieval. MARVE…

cs.IR2023

Text Matching Improves Sequential Recommendation by Reducing Popularity Biases

Zhenghao Liu, Sen Mei, Chenyan Xiong +5

This paper proposes Text mAtching based SequenTial rEcommendation model (TASTE), which maps items and users in an embedding space and recommends items by matching their text repres…