Search Results - Machine-generated code detection

MAGECODE: Machine-Generated Code Detection Method Using Large Language Models by Pham, Hung, Ha, Huyen, Tong, van, Hoang, Dung, Tran, Duc, Le, Tuyen Ngoc

“… Consequently, various machine-generated text (MGT) detection methods, developed from metric-based and model-based approaches, were proposed and shown to be highly effective…”
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Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers by Shi, Yuling, Zhang, Hongyu, Wan, Chengcheng, Gu, Xiaodong

“… Previous methods such as DetectGPthave proven effective in discerning machine-generated texts, but they do not identify and harness the unique patterns of machine-generated code…”
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Auto-Generated Code Detector - A Preprocessor to Enhance Security, Quality, Maintenance and Accurate Productivity Calculation of Code by Parihar, Ratnesh, Kar, Priya, Kumar, Shravan

“…s and licenses.Auto-generated code detection detects machine-generated code, external libraries, minified…”
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A machine-generated catalogue of Charon’s craters and implications for the Kuiper belt by Ali-Dib, Mohamad

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RU-AI: A Large Multimodal Dataset for Machine-Generated Content Detection by Huang, Liting, Zhang, Zhihao, Zhang, Yiran, Zhou, Xiyue, Wang, Shoujin

“… However, the lack of aligned multimodal datasets has inhibited the development of effective and robust methods for detecting machine-generated content, particularly in triple-modality settings (e.g…”
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Discourse Features Enhance Detection of Document-Level Machine-Generated Content by Li, Yupei, Milling, Manuel, Specia, Lucia, Schuller, Bjorn W.

“…The availability of high-quality APIs for Large Language Models (LLMs) has facilitated the widespread creation of Machine-Generated Content (MGC…”
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DETECTION OF SOURCE CODE IN INTERNET TEXTS USING AUTOMATICALLY GENERATED MACHINE LEARNING MODELS by BADUROWICZ, Marcin

“…In the paper, the authors are presenting the outcome of web scraping software allowing for the automated classification of source code…”
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MGTBench: Benchmarking Machine-Generated Text Detection by He, Xinlei, Shen, Xinyue, Chen, Zeyuan, Backes, Michael, Zhang, Yang

“… In this way, detecting machine-generated texts (MGTs) is becoming increasingly important as LLMs become more advanced and prevalent…”
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Who Wrote this Code? Watermarking for Code Generation by Lee, Taehyun, Hong, Seokhee, Ahn, Jaewoo, Hong, Ilgee, Lee, Hwaran, Sangdoo Yun, Shin, Jamin, Kim, Gunhee

“… Our experiments show that SWEET significantly improves code quality preservation while outperforming all baselines, including post-hoc detection methods, in detecting machine-generated code text…”
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Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers by Shi, Yuling, Zhang, Hongyu, Wan, Chengcheng, Gu, Xiaodong

“… Previous methods such as DetectGPT have proven effective in discerning machine-generated texts, but they do not identify and harness the unique patterns of machine-generated code…”
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Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy by Zhang, Shuhai, Song, Yiliao, Yang, Jiahao, Li, Yuanqing, Han, Bo, Tan, Mingkui

“… However, machine-generated texts (MGTs) may carry critical risks, such as plagiarism issues, misleading information, or hallucination issues…”
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Few-Shot Detection of Machine-Generated Text using Style Representations by Rafael Rivera Soto, Koch, Kailin, Khan, Aleem, Chen, Barry, Bishop, Marcus, Andrews, Nicholas

“…The advent of instruction-tuned language models that convincingly mimic human writing poses a significant risk of abuse. However, such abuse may be…”
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Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs by Zae Myung Kim, Lee, Kwang Hee, Zhu, Preston, Raheja, Vipul, Kang, Dongyeop

“…With the advent of large language models (LLM), the line between human-crafted and machine-generated texts has become increasingly blurred…”
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DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature by Mitchell, Eric, Lee, Yoonho, Khazatsky, Alexander, Manning, Christopher D, Finn, Chelsea

“…The increasing fluency and widespread usage of large language models (LLMs) highlight the desirability of corresponding tools aiding detection of LLM-generated text…”
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Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature by Bao, Guangsheng, Zhao, Yanbin, Teng, Zhiyang, Yang, Linyi, Zhang, Yue

“… To build trustworthy AI systems, it is imperative to distinguish between machine-generated and human-authored content…”
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M6: Multi-generator, Multi-domain, Multi-lingual and cultural, Multi-genres, Multi-instrument Machine-Generated Music Detection Databases by Li, Yupei, Li, Hanqian, Specia, Lucia, Schuller, Björn W

“… Detecting machine-generated music (MGMD) is, therefore, critical to safeguarding these domains, yet the field lacks comprehensive datasets to support meaningful progress…”
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CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Data Limitation With Contrastive Learning by Liu, Xiaoming, Zhang, Zhaohan, Wang, Yichen, Pu, Hang, Yu, Lan, Shen, Chao

“…Machine-Generated Text (MGT) detection, a task that discriminates MGT from Human-Written Text (HWT…”
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DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text by Su, Jinyan, Terry Yue Zhuo, Wang, Di, Nakov, Preslav

“… In this paper, we introduce two novel zero-shot methods for detecting machine-generated text by leveraging the log rank information…”
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ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection by Hartvigsen, Thomas, Gabriel, Saadia, Palangi, Hamid, Sap, Maarten, Ray, Dipankar, Kamar, Ece

“… To help mitigate these issues, we create ToxiGen, a new large-scale and machine-generated dataset of 274k toxic and benign statements about 13 minority groups…”
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On the Generalization Ability of Machine-Generated Text Detectors by Yule, Liu, Zhong, Zhiyuan, Liao, Yifan, Sun, Zhen, Zheng, Jingyi, Jiaheng Wei, Gong, Qingyuan, Tong, Fenghua, Chen, Yang, Zhang, Yang, He, Xinlei

“…The rise of large language models (LLMs) has raised concerns about machine-generated text (MGT…”
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