在学术界和人工智能（AI）研究领域中，争议和创新的火花经常碰撞出令人瞩目的成果。然而，当这些成果在发布过程中遭遇质疑时，情况则变得更为复杂。最近，一篇关于AI智能体构建的论文，名为CAMEL，成为了舆论焦点，引发了一连串关于原创性、时间顺序和同行评审的讨论。
CAMEL论文的作者，阿卜杜拉国王科技大学的博士生李国豪，是开源项目Camel-AI.org和DeepGCNs.org的发起人。这篇论文在2023年3月发布于arXiv预印本库，一个非同行评审的平台，允许研究者分享其研究成果，以便于学术交流。然而，论文在学术圈内的认可度并未因非同行评审的特性而降低，反而因其创新性和实用性获得了2024年ICLR（国际机器学习会议）LLM Agent Workshop的最佳论文奖。
然而，这一荣誉与争议并存。在CAMEL论文发布后半年，微软开源了AutoGen项目，一个用于构建AI智能体的编程框架。AutoGen与CAMEL在功能和概念上存在高度相似性，这引发了李国豪的困惑和不满。每当李国豪出席学术活动时，他总要被问及CAMEL与AutoGen之间的区别，这让他感到非常无奈。在时间线上，CAMEL的发布时间早于AutoGen，但如今却有人质疑CAMEL是AutoGen的模仿者。
这一事件引发了关于学术原创性、时间线和非同行评审平台在学术界角色的广泛讨论。arXiv作为非同行评审的平台，其论文是否需要被引用成为了一个值得探讨的问题。一方面，非同行评审意味着论文未经同行的严格审查，可能含有错误或未被验证的理论。另一方面，arXiv提供了一个快速分享和讨论新想法的平台，促进了学术交流和创新。因此，虽然CAMEL论文在arXiv上发布，但其学术价值和影响力并未因此而降低。
最终，这一事件提醒我们，学术诚信和原创性的重要性，以及在快速发展的科技领域中，如何平衡快速分享与深入验证之间的关系。对于CAMEL和AutoGen的相似性争议，也许需要通过进一步的讨论和学术界内的共识来解决，以确保公平和透明的评价机制。
英语如下：
News Title: “Controversy Spotlight: Allegations of Plagiarism in AI Paper’s Early Release”
Keywords: Plagiarism Allegations, Timeline疑, Open-source Project
News Content: In the academic world and the domain of artificial intelligence (AI) research, sparks of controversy often intertwine with groundbreaking achievements. However, the situation becomes more complex when these achievements face scrutiny during their dissemination. Recently, a paper titled CAMEL, which revolves around the construction of AI agents, has become a focal point of public discourse, sparking discussions around originality, chronological order, and peer review.
The author of the CAMEL paper, Guohao Li, a doctoral student at King Abdullah University of Science and Technology, is the founder of the open-source projects Camel-AI.org and DeepGCNs.org. The paper was released on arXiv, a preprint repository that allows researchers to share their findings for academic exchange, in March 2023. Despite being non-peer-reviewed, the paper’s innovation and practicality earned it the Best Paper Award at the LLM Agent Workshop of the International Conference on Learning Representations (ICLR) in 2024.
However, this accolade coexists with controversy. Six months after the release of the CAMEL paper, Microsoft released the AutoGen project, an open-source programming framework for building AI agents. AutoGen shares a high degree of similarity in function and concept with CAMEL, which has left Guohao Li perplexed and disheartened. Every time Li attends academic events, he is inevitably asked about the differences between CAMEL and AutoGen, causing him considerable distress. Chronologically, CAMEL was released before AutoGen, but there are now questions about whether CAMEL was an imitation of AutoGen.
This event has sparked a broader discussion around academic originality, chronological order, and the role of non-peer-reviewed platforms in academia. arXiv, as a non-peer-reviewed platform, raises questions about whether papers published on it should be cited. On one hand, non-peer review means that papers are not subjected to rigorous scrutiny by peers, which may contain errors or unverified theories. On the other hand, arXiv provides a platform for the rapid sharing and discussion of new ideas, facilitating academic exchange and innovation. Therefore, although the CAMEL paper was published on arXiv, its academic value and influence have not been diminished.
Ultimately, this event reminds us of the importance of academic integrity and originality, as well as the balance needed to strike between rapid dissemination and in-depth validation in the swiftly advancing field of technology. The controversy over the similarity between CAMEL and AutoGen might require further discussion and consensus within the academic community to ensure a fair and transparent evaluation mechanism.
【来源】https://www.jiqizhixin.com/articles/2024-07-17-6
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