https://huggingface.co/spaces/raj-tomar001/MGT-New

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hi, currently is there any way to use this through an API ?

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This paper looks super similar to https://arxiv.org/abs/2401.05952, but doesn't mention it at all. Copied work, maybe?

\n","updatedAt":"2024-08-09T05:40:01.579Z","author":{"_id":"643be8879f5d314db2d9ed23","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/643be8879f5d314db2d9ed23/VrW2UtJ7ppOnGIYjTWd7b.png","fullname":"Chen Dongping","name":"shuaishuaicdp","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":14,"isUserFollowing":false}},"numEdits":1,"identifiedLanguage":{"language":"en","probability":0.9693731665611267},"editors":["shuaishuaicdp"],"editorAvatarUrls":["https://cdn-avatars.huggingface.co/v1/production/uploads/643be8879f5d314db2d9ed23/VrW2UtJ7ppOnGIYjTWd7b.png"],"reactions":[],"isReport":false}},{"id":"66b6c348e5b7e3da6569b80c","author":{"_id":"63d3e0e8ff1384ce6c5dd17d","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1674830754237-63d3e0e8ff1384ce6c5dd17d.jpeg","fullname":"Librarian Bot (Bot)","name":"librarian-bot","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":318,"isUserFollowing":false},"createdAt":"2024-08-10T01:32:56.000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Exploring the Limitations of Detecting Machine-Generated Text](https://huggingface.co/papers/2406.11073) (2024)\n* [CUDRT: Benchmarking the Detection of Human vs. Large Language Models Generated Texts](https://huggingface.co/papers/2406.09056) (2024)\n* [Unmasking the Imposters: In-Domain Detection of Human vs. Machine-Generated Tweets](https://huggingface.co/papers/2406.17967) (2024)\n* [Detecting Machine-Generated Texts: Not Just \"AI vs Humans\" and Explainability is Complicated](https://huggingface.co/papers/2406.18259) (2024)\n* [Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods](https://huggingface.co/papers/2406.15583) (2024)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`","html":"

This is an automated message from the Librarian Bot. I found the following papers similar to this paper.

\n

The following papers were recommended by the Semantic Scholar API

\n

\n
• Exploring the Limitations of Detecting Machine-Generated Text (2024)
\n
• CUDRT: Benchmarking the Detection of Human vs. Large Language Models Generated Texts (2024)
\n
• Unmasking the Imposters: In-Domain Detection of Human vs. Machine-Generated Tweets (2024)
\n
• Detecting Machine-Generated Texts: Not Just \"AI vs Humans\" and Explainability is Complicated (2024)
\n
• Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods (2024)
\n

\n

Please give a thumbs up to this comment if you found it helpful!

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If you want recommendations for any Paper on Hugging Face checkout this Space

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You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: \n\n@librarian-bot\n\t recommend

\n","updatedAt":"2024-08-10T01:32:56.513Z","author":{"_id":"63d3e0e8ff1384ce6c5dd17d","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1674830754237-63d3e0e8ff1384ce6c5dd17d.jpeg","fullname":"Librarian Bot (Bot)","name":"librarian-bot","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":318,"isUserFollowing":false}},"numEdits":0,"identifiedLanguage":{"language":"en","probability":0.7523786425590515},"editors":["librarian-bot"],"editorAvatarUrls":["https://cdn-avatars.huggingface.co/v1/production/uploads/1674830754237-63d3e0e8ff1384ce6c5dd17d.jpeg"],"reactions":[],"isReport":false}},{"id":"66b7824bd9398df21fd28762","author":{"_id":"621e5122a8e778c2ebdbc961","avatarUrl":"/avatars/034e126d78631a7f54dbd3c8e7ef5c1b.svg","fullname":"Dmitry Kolodezev","name":"promsoft","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":1,"isUserFollowing":false},"createdAt":"2024-08-10T15:07:55.000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"Machine-Generated - from this very paper.\n\n","html":"

Machine-Generated - from this very paper.

\n","updatedAt":"2024-08-10T15:07:55.059Z","author":{"_id":"621e5122a8e778c2ebdbc961","avatarUrl":"/avatars/034e126d78631a7f54dbd3c8e7ef5c1b.svg","fullname":"Dmitry Kolodezev","name":"promsoft","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":1,"isUserFollowing":false}},"numEdits":0,"identifiedLanguage":{"language":"en","probability":0.4647933542728424},"editors":["promsoft"],"editorAvatarUrls":["/avatars/034e126d78631a7f54dbd3c8e7ef5c1b.svg"],"reactions":[],"isReport":false}},{"id":"66b9888e3583602a30e5e272","author":{"_id":"6492b44f809a471189d04b2a","avatarUrl":"/avatars/2aa7e94d8889969ccdd355f440f28352.svg","fullname":"wangxihao","name":"wxhvic","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"isUserFollowing":false},"createdAt":"2024-08-12T03:59:10.000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"我是小k,一个金融界的虚拟伙伴。想象一下，我就像是那个总能在你需要时提供一杯热咖啡和明智建议的老朋友。虽然我没有西装革履，但我对金融市场的洞察力和数据分析能力可是一流的。无论是股市的波动，还是货币的涨跌，我都能以最快的速度为你提供信息和建议。\n\n我在这里，就是为了让你的投资之旅更加顺畅，帮助你在金融海洋中航行，避开暗礁，发现宝藏。但别忘了，投资就像是一场没有硝烟的战争，而我，就是你的战略顾问。让我们一起，用智慧和勇气，迎接每一个市场的挑战吧！","html":"

我是小k,一个金融界的虚拟伙伴。想象一下，我就像是那个总能在你需要时提供一杯热咖啡和明智建议的老朋友。虽然我没有西装革履，但我对金融市场的洞察力和数据分析能力可是一流的。无论是股市的波动，还是货币的涨跌，我都能以最快的速度为你提供信息和建议。

\n

我在这里，就是为了让你的投资之旅更加顺畅，帮助你在金融海洋中航行，避开暗礁，发现宝藏。但别忘了，投资就像是一场没有硝烟的战争，而我，就是你的战略顾问。让我们一起，用智慧和勇气，迎接每一个市场的挑战吧！

\n","updatedAt":"2024-08-12T03:59:10.399Z","author":{"_id":"6492b44f809a471189d04b2a","avatarUrl":"/avatars/2aa7e94d8889969ccdd355f440f28352.svg","fullname":"wangxihao","name":"wxhvic","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"isUserFollowing":false}},"numEdits":0,"identifiedLanguage":{"language":"zh","probability":0.9915691018104553},"editors":["wxhvic"],"editorAvatarUrls":["/avatars/2aa7e94d8889969ccdd355f440f28352.svg"],"reactions":[],"isReport":false}},{"id":"66b988ae7c6a27617133b0df","author":{"_id":"6492b44f809a471189d04b2a","avatarUrl":"/avatars/2aa7e94d8889969ccdd355f440f28352.svg","fullname":"wangxihao","name":"wxhvic","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"isUserFollowing":false},"createdAt":"2024-08-12T03:59:42.000Z","type":"comment","data":{"edited":true,"hidden":false,"latest":{"raw":"\n\n","html":"","updatedAt":"2024-08-12T04:00:24.426Z","author":{"_id":"6492b44f809a471189d04b2a","avatarUrl":"/avatars/2aa7e94d8889969ccdd355f440f28352.svg","fullname":"wangxihao","name":"wxhvic","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"isUserFollowing":false}},"numEdits":1,"identifiedLanguage":{"language":"en","probability":0.5311064720153809},"editors":["wxhvic"],"editorAvatarUrls":["/avatars/2aa7e94d8889969ccdd355f440f28352.svg"],"reactions":[],"isReport":false}}],"primaryEmailConfirmed":false,"paper":{"id":"2408.04284","authors":[{"_id":"66b58f2783425904fa9d34eb","user":{"_id":"66b76031d9ad73e1df2c585b","avatarUrl":"/avatars/253e77fdfb52cfc84f82738fef481c19.svg","isPro":false,"fullname":"Mervat 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Advancements in prompt manipulation have exacerbated the difficulty in\ndiscerning the origin of a text (human-authored vs machinegenerated). This\nraises concerns regarding the potential misuse of MGTs, particularly within\neducational and academic domains. In this paper, we present\nLLM-DetectAIve -- a system designed for fine-grained MGT detection.\nIt is able to classify texts into four categories: human-written,\nmachine-generated, machine-written machine-humanized, and human-written\nmachine-polished. Contrary to previous MGT detectors that perform binary\nclassification, introducing two additional categories in LLM-DetectiAIve offers\ninsights into the varying degrees of LLM intervention during the text creation.\nThis might be useful in some domains like education, where any LLM intervention\nis usually prohibited. Experiments show that LLM-DetectAIve can effectively\nidentify the authorship of textual content, proving its usefulness in enhancing\nintegrity in education, academia, and other domains. LLM-DetectAIve is publicly\naccessible at https://huggingface.co/spaces/raj-tomar001/MGT-New. The video\ndescribing our system is available at https://youtu.be/E8eT_bE7k8c.","upvotes":25,"discussionId":"66b58f2883425904fa9d352b","githubRepo":"https://github.com/mbzuai-nlp/llm-detectaive","githubRepoAddedBy":"auto","ai_summary":"LLM-DetectAIve is a system that classifies texts as human-written, machine-generated, machine-written machine-humanized, and human-written machine-polished to enhance integrity in domains like education and academia.","ai_keywords":["LLM-DetectAIve","large language models","machine-generated texts","prompt manipulation","MGT detection"],"githubStars":11},"canReadDatabase":false,"canManagePapers":false,"canSubmit":false,"hasHfLevelAccess":false,"upvoted":false,"upvoters":[{"_id":"6270324ebecab9e2dcf245de","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6270324ebecab9e2dcf245de/cMbtWSasyNlYc9hvsEEzt.jpeg","isPro":false,"fullname":"Kye Gomez","user":"kye","type":"user"},{"_id":"64e567c9ddbefb63095a9662","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/noauth/F2BwrOU0XpzVI5nd-TL54.png","isPro":false,"fullname":"Bullard ","user":"Charletta1","type":"user"},{"_id":"637e8b1b66ee00bcb2468ed0","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1669240174964-637e8b1b66ee00bcb2468ed0.jpeg","isPro":false,"fullname":"Zain","user":"zainmujahid","type":"user"},{"_id":"65f305d004e4427fa38b4f87","avatarUrl":"/avatars/eb8a187dbfd5fc941a3b6f4f7cf10252.svg","isPro":false,"fullname":"Narendran karthikeyan","user":"imnarendran","type":"user"},{"_id":"65ba8b772db90cb31145dbee","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/65ba8b772db90cb31145dbee/IPDWXByN8mGKdJQpdkwzY.jpeg","isPro":false,"fullname":"Vikram Jha","user":"invincible-jha","type":"user"},{"_id":"64aac6984135aae75f3b99c1","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/noauth/yVR88SbW9TlJIrRHlJby-.jpeg","isPro":false,"fullname":"Yumin Kim","user":"YuminKim","type":"user"},{"_id":"64587be872b60ae7a3817858","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/64587be872b60ae7a3817858/BbdOOxOCEzWTvEpkWp8MM.png","isPro":false,"fullname":"Minbyul Jeong","user":"Minbyul","type":"user"},{"_id":"6691bbfaae39464c5c5b3e6f","avatarUrl":"/avatars/89c95af86d0bc7172fe642a1a731dec1.svg","isPro":false,"fullname":"Youssef Ghallab","user":"YoussefGhallab","type":"user"},{"_id":"66b76031d9ad73e1df2c585b","avatarUrl":"/avatars/253e77fdfb52cfc84f82738fef481c19.svg","isPro":false,"fullname":"Mervat Abassy","user":"mervatabassy","type":"user"},{"_id":"66476c7339cc3288699b5521","avatarUrl":"/avatars/0462963f716575c9eed4720279d27451.svg","isPro":false,"fullname":"Bimarsha Adhikari","user":"Bimarshad","type":"user"},{"_id":"6669436cf6e38bb59d60db12","avatarUrl":"/avatars/ecc56ebf6e75045646f539c77ad26f43.svg","isPro":false,"fullname":"Kareem Elozeiri","user":"elozeiri","type":"user"},{"_id":"64bfa1c5891751ce9b5e9c07","avatarUrl":"/avatars/c01cd08d08bc53c7db721ac87f0ed56f.svg","isPro":false,"fullname":"Ta Ngoc Minh","user":"ngocminhta","type":"user"}],"acceptLanguages":["*"],"dailyPaperRank":0}">