OpenReview
PulseAugur coverage of OpenReview — every cluster mentioning OpenReview across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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AI models develop biases, OpenAI faces Navier-Stokes credit controversy, and IFA 2026 previews smart tech
A recent study indicates that large language models can develop novel social biases through adaptive exploration, a finding published on OpenReview. Separately, OpenAI is involved in a controversy regarding the attribut…
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Research Paper: LLMs Develop Novel Social Biases Through Adaptive Exploration
A new research paper titled "Large Language Models Develop Novel Social Biases Through Adaptive Exploration" has been published on OpenReview. The study investigates how large language models acquire new social biases t…
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New AI framework ActReview generates actionable peer review suggestions
Researchers have developed ActReview, a novel framework designed to enhance AI-generated peer reviews by providing actionable revision suggestions. This system leverages author rebuttals from existing peer review platfo…
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New platforms and datasets aim to improve AI agent evaluation in scientific research
Researchers have developed new platforms and datasets to improve the evaluation of AI agents in scientific research. LitReview Arena, a peer-review platform, allows domain experts to compare AI-generated literature revi…
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ML peer review needs a credit system, not just polite suggestions
A new position paper proposes a credit system, dubbed "OpenReview Points," to incentivize better peer reviews in machine learning. The authors argue that current methods for managing submission volume and encouraging qu…
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New MAPLE benchmark evaluates multi-aspect scientific paper retrieval
Researchers have introduced MAPLE, a new benchmark designed to evaluate scientific paper retrieval systems. Unlike existing benchmarks that focus on single query-paper relevance, MAPLE assesses a retriever's ability to …
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AC comment and reply vanish from OpenReview, users seek answers
A user on Reddit's r/MachineLearning subreddit reported that an AC comment and their subsequent reply have disappeared from OpenReview. The user speculates that the AC might have removed the comment to avoid appearing u…
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OpenReview mandates AI identity verification for peer review access
OpenReview, a platform for academic paper submissions, has implemented new measures requiring AI models to prove their identity before accessing its peer review system. This decision, aimed at preventing AI-generated su…
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AI Researchers Debate Conference Submission Policies Amidst Deadline Confusion
A user on Reddit's r/MachineLearning subreddit is seeking clarification regarding submission policies for two major AI conferences, ICLR and NeurIPS. The user is confused about the timeline, as the ICLR abstract submiss…
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AAAI Conference faces reviewer nomination deadline issue
A researcher missed the reciprocal reviewer nomination deadline for the AAAI Conference on Artificial Intelligence, potentially risking a desk rejection. The author overlooked the nomination field during submission, as …
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NeurIPS reviews face access issues on OpenReview platform
The Conference on Neural Information Processing Systems (NeurIPS) has seen its review process begin, with participants experiencing issues accessing the OpenReview platform. This has led to user inquiries about the stat…
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OpenReview platform refresh aims to boost reviewer engagement for NeurIPS
The OpenReview platform has undergone a refresh, coinciding with the NeurIPS conference. An Area Chair noted that new incentives have improved reviewer engagement and reduced the need for chasing reviewers. The hope is …
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AI safety research surges at major ML conferences, analysis shows
A new analysis of machine learning conference papers reveals a significant increase in AI safety research. Out of over 55,000 papers analyzed from ICLR, ICML, and NeurIPS between 2019 and 2026, 2,328 (4.2%) were classif…
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ICML rejected paper review visibility sparks confusion
The International Conference on Machine Learning (ICML) has a policy regarding the visibility of rejected papers and their reviews. Initially, reviews were only to be visible if authors opted-in and no one opted-out. Ho…
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Tomesphere tool integrates research papers with code, reviews, and citations
A new tool called Tomesphere has been developed to enhance the research experience for academic papers. It offers a Chrome extension and a website that consolidate information from various sources like arXiv, OpenReview…
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New Dataset 'DiagramBank' Curates 57K Scientific Diagrams for AI Research
Researchers have developed DiagramBank, a new dataset containing over 57,000 schematic diagrams extracted from AI and ML papers hosted on OpenReview. This dataset meticulously links each diagram to its source paper's ti…
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FactReview system enhances ML paper peer review with code execution
Researchers have developed FactReview, a system designed to enhance the peer-review process for machine learning papers by verifying empirical claims. FactReview extracts claims from manuscripts, grounds them in related…
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AI model finetuning mostly idempotent, DPO can amplify traits
A guide explores advanced techniques for post-training large language models, focusing on Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Group Relative Policy Optimization (GRPO). These methods …
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AI solves complex inverse partial differential equations, a major math challenge
Researchers have employed artificial intelligence to solve a challenging class of mathematical problems known as inverse partial differential equations (PDEs). This AI-driven approach offers a novel method for finding s…