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20242026
most citedOpportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research

10 citations · 10 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.CL2024

Jailbreaking? One Step Is Enough!

Weixiong Zheng, Peijian Zeng, Yiwei Li +5

Large language models (LLMs) excel in various tasks but remain vulnerable to jailbreak attacks, where adversaries manipulate prompts to generate harmful outputs. Examining jailbrea…

cs.CL2024

QueEn: A Large Language Model for Quechua-English Translation

Junhao Chen, Peng Shu, Yiwei Li +7

Recent studies show that large language models (LLMs) are powerful tools for working with natural language, bringing advances in many areas of computational linguistics. However, t…

cs.CV2024

OracleSage: Towards Unified Visual-Linguistic Understanding of Oracle Bone Scripts through Cross-Modal Knowledge Fusion

Hanqi Jiang, Yi Pan, Junhao Chen +8

Oracle bone script (OBS), as China's earliest mature writing system, present significant challenges in automatic recognition due to their complex pictographic structures and diverg…

cs.CL2024

Transcending Language Boundaries: Harnessing LLMs for Low-Resource Language Translation

Peng Shu, Junhao Chen, Zhengliang Liu +13

Large Language Models (LLMs) have demonstrated remarkable success across a wide range of tasks and domains. However, their performance in low-resource language translation, particu…

cs.CL2024

Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios

Shaochen Xu, Yifan Zhou, Zhengliang Liu +19

Artificial Intelligence (AI) has become essential in modern healthcare, with large language models (LLMs) offering promising advances in clinical decision-making. Traditional model…

cs.CL2024

Legal Evalutions and Challenges of Large Language Models

Jiaqi Wang, Huan Zhao, Zhenyuan Yang +19

In this paper, we review legal testing methods based on Large Language Models (LLMs), using the OPENAI o1 model as a case study to evaluate the performance of large models in apply…