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20242026
most citedA Survey on Large Language Models with Multilingualism: Recent Advances and New Frontiers

6 citations · 12 across the 15 of their papers we have counts for

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Showing cs.IRShow all

7 papers · 1 filter

cs.IR2026

Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval

Chao Huang, Yufeng Chen, Changhao Guan +3

Multilingual dense retrieval aims to handle queries and documents across different languages based on a unified retriever model. The challenge lies in enabling robust retrieval tra…

cs.IR2025

Boosting Data Utilization for Multilingual Dense Retrieval

Chao Huang, Fengran Mo, Yufeng Chen +5

Multilingual dense retrieval aims to retrieve relevant documents across different languages based on a unified retriever model. The challenge lies in aligning representations of di…

cs.IR2025

Adaptive Personalized Conversational Information Retrieval

Fengran Mo, Yuchen Hui, Yuxing Tian +5

Personalized conversational information retrieval (CIR) systems aim to satisfy users' complex information needs through multi-turn interactions by considering user profiles. Howeve…

cs.IR2024★ 2 cited

Aligning Query Representation with Rewritten Query and Relevance Judgments in Conversational Search

Fengran Mo, Chen Qu, Kelong Mao +4

Conversational search supports multi-turn user-system interactions to solve complex information needs. Different from the traditional single-turn ad-hoc search, conversational sear…

cs.IR2024★ 1 cited

How to Leverage Personal Textual Knowledge for Personalized Conversational Information Retrieval

Fengran Mo, Longxiang Zhao, Kaiyu Huang +3

Personalized conversational information retrieval (CIR) combines conversational and personalizable elements to satisfy various users' complex information needs through multi-turn i…

cs.IR2024★ 1 cited

ConvSDG: Session Data Generation for Conversational Search

Fengran Mo, Bole Yi, Kelong Mao +3

Conversational search provides a more convenient interface for users to search by allowing multi-turn interaction with the search engine. However, the effectiveness of the conversa…

cs.IR2024★ 1 cited

History-Aware Conversational Dense Retrieval

Fengran Mo, Chen Qu, Kelong Mao +4

Conversational search facilitates complex information retrieval by enabling multi-turn interactions between users and the system. Supporting such interactions requires a comprehens…