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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 2025Show all

6 papers · 1 filter

cs.CL2025

SoT: Structured-of-Thought Prompting Guides Multilingual Reasoning in Large Language Models

Rui Qi, Zhibo Man, Yufeng Chen +3

Recent developments have enabled Large Language Models (LLMs) to engage in complex reasoning tasks through deep thinking. However, the capacity of reasoning has not been successful…

cs.CL2025

WeatherArchive-Bench: Benchmarking Retrieval-Augmented Reasoning for Historical Weather Archives

Yongan Yu, Xianda Du, Qingchen Hu +7

Historical archives on weather events are collections of enduring primary source records that offer rich, untapped narratives of how societies have experienced and responded to ext…

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.CL2025

Multilingual Collaborative Defense for Large Language Models

Hongliang Li, Jinan Xu, Gengping Cui +3

The robustness and security of large language models (LLMs) has become a prominent research area. One notable vulnerability is the ability to bypass LLM safeguards by translating h…

cs.AI2025★ 1 cited

OmniGeo: Towards a Multimodal Large Language Models for Geospatial Artificial Intelligence

Long Yuan, Fengran Mo, Kaiyu Huang +6

The rapid advancement of multimodal large language models (LLMs) has opened new frontiers in artificial intelligence, enabling the integration of diverse large-scale data types suc…