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

6 citations · 6 across the 8 of their papers we have counts for

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2 papers · 1 filter

cs.AI2026

One Prompt Does Not Fit All: Self-Meta-Evolve for Personalized Information Extraction

Hongliang Li, Lu Wang, Yong Xu +6

Large language models (LLMs) are increasingly deployed for enterprise information extraction (IE), where the same document must be reorganized differently for each user. Existing p…

cs.AI2026

PolyWorkBench: Benchmarking LLM Agents for Cross-Lingual Long-Horizon Workflows

Hongliang Li, Yijin Liu, Zhiwei Zhang +5

While Large Language Model (LLM) agents excel at monolingual long-horizon planning and tool use, enterprise workflows inherently require processing multilingual resources across ex…