吴恩达发布论文自动审阅器，ICLR上达到接近人类水平

Core Viewpoint - The article discusses the challenges and potential solutions in the academic paper review process, particularly the integration of AI tools to enhance efficiency and feedback quality in the face of increasing submission volumes [2][6][14]. Group 1: Current State of Academic Review - There is no unified standard for using AI in paper reviews across major conferences, with ICLR requiring disclosure of AI use and CVPR prohibiting it entirely [2]. - Despite strict regulations, a significant portion of reviews at ICLR 2026 is generated by AI, with estimates suggesting that up to 20% of reviews are AI-generated [2][6]. - The lengthy review cycles are a growing concern, as exemplified by a Stanford professor's student who faced six rejections over three years, each requiring about six months for feedback [4][5]. Group 2: AI as a Solution - The slow feedback loop in academic publishing contrasts sharply with the rapid pace of technological advancement, prompting the exploration of AI to create a more efficient paper feedback workflow [6]. - Stanford professor Andrew Ng introduced the "Agentic Reviewer," an AI tool designed to provide high-quality feedback before formal submission, which has shown promising results in training on ICLR 2025 data [7][11]. - The correlation between AI-generated reviews and human reviews is notable, with a Spearman correlation coefficient of 0.42, indicating that AI is approaching human-level performance in this context [9]. Group 3: Community Reactions and Future Implications - The academic community generally views AI review tools positively, with hopes for features tailored to specific conferences and the ability to provide score estimates [11]. - Concerns have been raised about the potential impact on academic diversity if researchers rely too heavily on AI for preliminary reviews [13]. - The article questions whether the academic review system is on the brink of transformation due to the integration of AI, leaving the future role of AI in academic research development uncertain [14].