How you prompt matters! even task-oriented constraints in instructions affect llm-generated...

[PDF] arxiv.org

Llm-as-a-coauthor: The challenges of detecting llm-human mixcase

C Gao, D Chen, Q Zhang, Y Huang, Y Wan… - arXiv preprint arXiv …, 2024 - arxiv.org
With the remarkable development and widespread applications of large language models
(LLMs), the use of machine-generated text (MGT) is becoming increasingly common. This …
被引用次数：7 相关文章 所有 2 个版本
[PDF] aclanthology.org

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

Q Zhang, C Gao, D Chen, Y Huang… - Findings of the …, 2024 - aclanthology.org
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 …
被引用次数：2 相关文章 所有 2 个版本
[PDF] arxiv.org

Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text

Y Li, Z Wang, L Cui, W Bi, S Shi, Y Zhang - arXiv preprint arXiv …, 2024 - arxiv.org
AI-generated text detection has attracted increasing attention as powerful language models
approach human-level generation. Limited work is devoted to detecting (partially) AI …
相关文章 所有 2 个版本
[PDF] arxiv.org

Investigating the Influence of Prompt-Specific Shortcuts in AI Generated Text Detection

C Park, HJ Kim, J Kim, Y Kim, T Kim, H Cho… - arXiv preprint arXiv …, 2024 - arxiv.org
AI Generated Text (AIGT) detectors are developed with texts from humans and LLMs of
common tasks. Despite the diversity of plausible prompt choices, these datasets are …
相关文章 所有 2 个版本