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20232025
most citedSora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

105 citations · 193 across the 15 of their papers we have counts for

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Showing 2024Show all

9 papers · 1 filter

cs.CL2024★ 1 cited

1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators?

Yue Huang, Chenrui Fan, Yuan Li +4

Large Language Models (LLMs) have garnered significant attention due to their remarkable ability to process information across various languages. Despite their capabilities, they e…

cs.CL2024

DataGen: Unified Synthetic Dataset Generation via Large Language Models

Yue Huang, Siyuan Wu, Chujie Gao +8

Large Language Models (LLMs) such as GPT-4 and Llama3 have significantly impacted various fields by enabling high-quality synthetic data generation and reducing dependence on expen…

cs.CL2024★ 7 cited

Evaluating Large Language Models with Psychometrics

Yuan Li, Yue Huang, Hongyi Wang +4

Large Language Models (LLMs) have demonstrated exceptional capabilities in solving various tasks, progressively evolving into general-purpose assistants. The increasing integration…

cs.CL2024

Jailbreaking Large Language Models Through Alignment Vulnerabilities in Out-of-Distribution Settings

Yue Huang, Jingyu Tang, Dongping Chen +5

Recently, Large Language Models (LLMs) have garnered significant attention for their exceptional natural language processing capabilities. However, concerns about their trustworthi…

cs.CL2024

HonestLLM: Toward an Honest and Helpful Large Language Model

Chujie Gao, Siyuan Wu, Yue Huang +6

Large Language Models (LLMs) have achieved remarkable success across various industries due to their exceptional generative capabilities. However, for safe and effective real-world…

cs.CL2024★ 1 cited

I Think, Therefore I am: Benchmarking Awareness of Large Language Models Using AwareBench

Yuan Li, Yue Huang, Yuli Lin +3

Do large language models (LLMs) exhibit any forms of awareness similar to humans? In this paper, we introduce AwareBench, a benchmark designed to evaluate awareness in LLMs. Drawin…

cs.CV2024★ 105 cited

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Yixin Liu, Kai Zhang, Yuan Li +9

Sora is a text-to-video generative AI model, released by OpenAI in February 2024. The model is trained to generate videos of realistic or imaginative scenes from text instructions…

cs.CL2024★ 2 cited

LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected?

Qihui Zhang, Chujie Gao, Dongping Chen +8

With the rapid development and widespread application of Large Language Models (LLMs), the use of Machine-Generated Text (MGT) has become increasingly common, bringing with it pote…

cs.CL2024★ 54 cited

TrustLLM: Trustworthiness in Large Language Models

Yue Huang, Lichao Sun, Haoran Wang +67

Large language models (LLMs), exemplified by ChatGPT, have gained considerable attention for their excellent natural language processing capabilities. Nonetheless, these LLMs prese…