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20242026
most citedAlignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges

2 citations · 8 across the 12 of their papers we have counts for

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5 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.CL20241 cited

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.CL20242 cited

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.CL20241 cited

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…