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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 2026Show all

5 papers · 1 filter

cs.CL2026

Adaptive Utilization of Low-Rank Adaptation via Conditioned Gating

Guang Yang, Changhao Guan, Chao Huang +2

Low-Rank Adaptation (LoRA) achieves parameter-efficient fine-tuning by constraining model updates to a low-rank subspace and has been widely used in practice. However, LoRA typical…

cs.CL2026

Rewrite What Matters: Adaptive Multilingual Query Rewriting for Reasoning via Agentic Reinforcement Learning

Rui Qi, Yufeng Chen, Yunlong Liang +6

In multilingual scenarios, queries with equivalent semantics but in different languages could guide the model into different reasoning trajectories, leading to performance disparit…

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.CL2026

CroSearch-R1: Better Leveraging Cross-lingual Knowledge for Retrieval-Augmented Generation

Rui Qi, Fengran Mo, Sijin Lu +3

A multilingual collection may contain useful knowledge in other languages to supplement and correct the facts in the original language for Retrieval-Augmented Generation (RAG). How…

cs.CL2026

Language-Coupled Reinforcement Learning for Multilingual Retrieval-Augmented Generation

Rui Qi, Fengran Mo, Yufeng Chen +6

Multilingual retrieval-augmented generation (MRAG) requires models to effectively acquire and integrate beneficial external knowledge from multilingual collections. However, most e…