{"date":"2026-05-29","schema_version":1,"captured_at":"2026-08-25T23:10:48.788Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Claude Lemieux","views":375808,"rank":3,"extract":"Claude Percy Lemieux was a Canadian professional ice hockey player. He played as a right winger for 21 seasons in the National Hockey League (NHL) with six teams between 1983 and 2009. Lemieux won four Stanley Cup championships during his career, including two","url":"https://en.wikipedia.org/wiki/Claude_Lemieux","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/c/c2/Claude-Lemieux-circa-1999-2000.jpg/330px-Claude-Lemieux-circa-1999-2000.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Obsession (2025 film)","views":209425,"rank":6,"extract":"Obsession is a 2025 American supernatural horror film written, directed, and edited by Curry Barker. 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The core idea is to decouple the generalization of the sensory-motor policy to the design of a fast-adaptable perception module and a simulated generic policy module. The framework consists of a segmentation network (SN), ","authors":["Xie, Liang","Yu, Hongxiang","Xu, Kechun","Yang, Tong","Wang, Minhang","Lu, Haojian"],"url":"https://arxiv.org/abs/2205.04297","arxiv_id":"2205.04297","published":"2026-05-29"},{"title":"Bayesian Reasoning for Physics Informed Neural Networks","abstract":"We introduce an evidence-driven Bayesian formulation of physics-informed neural networks that enables automatic optimization of loss weights between PDE residuals, boundary conditions, and observational data. Unlike existing Bayesian PINN approaches based on sampling or variational inference, the proposed method uses a Laplace approximation to compute model evidence analytically, enabling efficient hyperparameter tun","authors":["Graczyk, Krzysztof M.","Witkowski, Kornel"],"url":"https://arxiv.org/abs/2308.13222","arxiv_id":"2308.13222","published":"2026-05-29"},{"title":"Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation","abstract":"Machine learning has been successfully applied to improve the efficiency of Mixed-Integer Linear Programming (MILP) solvers. However, the learning-based solvers often suffer from severe performance degradation on unseen MILP instances -- especially on large-scale instances from a perturbed environment -- due to the limited diversity of training distributions. To tackle this problem, we propose a novel approach, which","authors":["Liu, Haoyang","Kuang, Yufei","Wang, Jie","Li, Xijun","Zhang, Yongdong","Wu, Feng"],"url":"https://arxiv.org/abs/2310.14161","arxiv_id":"2310.14161","published":"2026-05-29"},{"title":"Matrix Completion with Hypergraphs:Sharp Thresholds and Efficient Algorithms","abstract":"This paper considers the problem of completing a rating matrix based on sub-sampled matrix entries as well as observed social graphs and hypergraphs. We show that there exists a \\emph{sharp threshold} on the sample probability for the task of exactly completing the rating matrix -- the task is achievable when the sample probability is above the threshold, and is impossible otherwise -- demonstrating a phase transitio","authors":["Ma, Zhongtian","Zhang, Qiaosheng","Wang, Zhen"],"url":"https://arxiv.org/abs/2401.08197","arxiv_id":"2401.08197","published":"2026-05-29"},{"title":"An Empirical Study of the Influence of Adversarial Fine-Tuning on Compressed Neural Networks","abstract":"As deep learning (DL) models are increasingly being integrated into our everyday lives, ensuring their safety by making them robust against adversarial attacks has become increasingly critical. DL models have been found to be susceptible to adversarial attacks by introducing small, targeted perturbations to disrupt the input data. Adversarial training has been presented as a mitigation strategy that can result in mor","authors":["Thorsteinsson, Hallgrimur","Henriksen, Valdemar J","Cruz, Daniel I R","Selvan, Raghavendra","Chen, Tong"],"url":"https://arxiv.org/abs/2403.09441","arxiv_id":"2403.09441","published":"2026-05-29"},{"title":"Gaga: Group Any Gaussians via 3D-aware Memory Bank","abstract":"We introduce Gaga, a framework that reconstructs and segments open-world 3D scenes by leveraging inconsistent 2D masks predicted by zero-shot class-agnostic segmentation models. Contrasted to prior 3D scene segmentation approaches that rely on video object tracking or contrastive learning methods, Gaga utilizes spatial information and effectively associates object masks across diverse camera poses through a novel 3D-","authors":["Lyu, Weijie","Li, Xueting","Kundu, Abhijit","Tsai, Yi-Hsuan","Yang, Ming-Hsuan"],"url":"https://arxiv.org/abs/2404.07977","arxiv_id":"2404.07977","published":"2026-05-29"},{"title":"Cross-Language Evolution of Divergent Collective Memory Around the Arab Spring","abstract":"The Arab Spring was a historic set of protests beginning in 2011 that toppled governments and led to major conflicts. Collective memories of events like these can vary significantly across social contexts in response to political, cultural, and linguistic factors. While Wikipedia plays an important role in documenting both historic and current events, little attention has been given to how Wikipedia articles, created","authors":["Jones, H. Laurie","Keegan, Brian C."],"url":"https://arxiv.org/abs/2404.10706","arxiv_id":"2404.10706","published":"2026-05-29"},{"title":"CompilerDream: Learning a Compiler World Model for General Code Optimization","abstract":"Effective code optimization in compilers is crucial for computer and software engineering. The success of these optimizations primarily depends on the selection and ordering of the optimization passes applied to the code. While most compilers rely on a fixed sequence of optimization passes, current methods to find the optimal sequence either employ impractically slow search algorithms or learning methods that struggl","authors":["Deng, Chaoyi","Wu, Jialong","Feng, Ningya","Wang, Jianmin","Long, Mingsheng"],"url":"https://arxiv.org/abs/2404.16077","arxiv_id":"2404.16077","published":"2026-05-29"},{"title":"A Survey on Recent Advances in Conversational Data Generation","abstract":"Recent advancements in conversational systems have significantly enhanced human-machine interactions across various domains. However, training these systems is challenging due to the scarcity of specialized dialogue data. Traditionally, conversational datasets were created through crowdsourcing, but this method has proven costly, limited in scale, and labor-intensive. As a solution, the development of synthetic dialo","authors":["Soudani, Heydar","Petcu, Roxana","Kanoulas, Evangelos","Hasibi, Faegheh"],"url":"https://arxiv.org/abs/2405.13003","arxiv_id":"2405.13003","published":"2026-05-29"},{"title":"Early Detection of Misinformation for Infodemic Management: A Domain Adaptation Approach","abstract":"An infodemic refers to an enormous amount of true information and misinformation disseminated during a disease outbreak. Detecting misinformation at the early stage of an infodemic is key to reduce its harm to public health. An early stage infodemic is characterized by a large volume of unlabeled information concerning a disease. As a result, conventional misinformation detection methods are not suitable for this mis","authors":["Mao, Minjia","Zhao, Xiaohang","Fang, Xiao"],"url":"https://arxiv.org/abs/2406.10238","arxiv_id":"2406.10238","published":"2026-05-29"},{"title":"Certified Causal Defense with Generalizable Robustness","abstract":"While machine learning models have proven effective across various scenarios, it is widely acknowledged that many models are vulnerable to adversarial attacks. Recently, there have emerged numerous efforts in adversarial defense. Among them, certified defense is well known for its theoretical guarantees against arbitrary adversarial perturbations on input within a certain range (e.g., $l_2$ ball). However, most exist","authors":["Qiao, Yiran","Yin, Yu","Chen, Chen","Ma, Jing"],"url":"https://arxiv.org/abs/2408.15451","arxiv_id":"2408.15451","published":"2026-05-29"},{"title":"Extending Explainable Ensemble Trees (E2Tree) to regression contexts","abstract":"Ensemble methods such as random forests have transformed the landscape of supervised learning, offering highly accurate prediction through the aggregation of multiple weak learners. However, despite their effectiveness, these methods often lack transparency, impeding users' comprehension of how RF models arrive at their predictions. Explainable ensemble trees (E2Tree) is a novel methodology for explaining random ","authors":["Aria, Massimo","Gnasso, Agostino","Iorio, Carmela","Fokkema, Marjolein"],"url":"https://arxiv.org/abs/2409.06439","arxiv_id":"2409.06439","published":"2026-05-29"},{"title":"Crafting Desirable Climate Trajectories with RL Explored Socio-Environmental Simulations","abstract":"Climate change poses an existential threat, necessitating effective climate policies to enact impactful change. Decisions in this domain are incredibly complex, involving conflicting entities and evidence. In the last decades, policymakers increasingly use simulations and computational methods to guide some of their decisions. Integrated Assessment Models (IAMs) are one of such methods, which combine social, economic","authors":["Rudd-Jones, James","Thendean, Fiona","Pérez-Ortiz, María"],"url":"https://arxiv.org/abs/2410.07287","arxiv_id":"2410.07287","published":"2026-05-29"},{"title":"Are LLMs Socially Adaptive? Contrasting Belief Evolution in Large Language Models and Humans","abstract":"As large language models (LLMs) increasingly engage in complex social interactions, ensuring that their behaviors align with human ethical principles and intentions, known as value alignment, has become a critical scientific challenge. Existing benchmarks often rely on static assessments and fail to capture the longitudinal dynamics of decision-making or the latent cognitive processes driving agent behavior. In this ","authors":["Lei, Yu","Liu, Hao","Xie, Chengxing","Liu, Songjia","Yin, Zhiyu","Chen, Canyu"],"url":"https://arxiv.org/abs/2410.10398","arxiv_id":"2410.10398","published":"2026-05-29"},{"title":"Jailbreaking and Mitigation of Vulnerabilities in Large Language Models","abstract":"Large Language Models (LLMs) have transformed artificial intelligence by advancing natural language understanding and generation, enabling applications across fields beyond healthcare, software engineering, and conversational systems. Despite these advancements in the past few years, LLMs have shown considerable vulnerabilities, particularly to prompt injection and jailbreaking attacks. This review analyzes the state","authors":["Peng, Benji","Chen, Hanxuan","Chen, Keyu","Niu, Qian","Bi, Ziqian","Liu, Ming"],"url":"https://arxiv.org/abs/2410.15236","arxiv_id":"2410.15236","published":"2026-05-29"},{"title":"Noise-Aware Differentially Private Variational Inference","abstract":"Differential privacy (DP) provides robust privacy guarantees for statistical inference, but this can lead to unreliable results and biases in downstream applications. While several noise-aware approaches have been proposed which integrate DP perturbation into the inference, they are limited to specific types of simple probabilistic models. In this work, we propose a novel method for noise-aware approximate Bayesian i","authors":["Alrawajfeh, Talal","Jälkö, Joonas","Honkela, Antti"],"url":"https://arxiv.org/abs/2410.19371","arxiv_id":"2410.19371","published":"2026-05-29"},{"title":"Dataset-Driven Channel Masks in Transformers for Multivariate Time Series","abstract":"Recent advancements in foundation models have been successfully extended to the time series (TS) domain, facilitated by the emergence of large-scale TS datasets. However, previous efforts have primarily Capturing channel dependency (CD) is essential for modeling multivariate time series (TS), and attention-based methods have been widely employed for this purpose. Nonetheless, these methods primarily focus on modifyin","authors":["Lee, Seunghan","Park, Taeyoung","Lee, Kibok"],"url":"https://arxiv.org/abs/2410.23222","arxiv_id":"2410.23222","published":"2026-05-29"},{"title":"KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks","abstract":"Time series anomaly detection (TSAD) underpins real-time monitoring in cloud services and web systems, allowing rapid identification of anomalies to prevent costly failures. Most TSAD methods driven by forecasting models tend to overfit by emphasizing minor fluctuations. Our analysis reveals that effective TSAD should focus on modeling "normal" behavior through smooth local patterns. To achieve this, we refor","authors":["Zhou, Quan","Pei, Changhua","Sun, Fei","Han, Jing","Gao, Zhengwei","Pei, Dan"],"url":"https://arxiv.org/abs/2411.00278","arxiv_id":"2411.00278","published":"2026-05-29"},{"title":"Neural Networks and (Virtual) Extended Formulations","abstract":"Neural networks with piecewise linear activation functions, such as rectified linear units (ReLU) or maxout, are among the most fundamental models in modern machine learning. We make a step towards proving lower bounds on the size of such neural networks by linking their representative capabilities to the notion of the extension complexity $\\mathrm{xc}(P)$ of a polytope $P$. This is a well-studied quantity in combina","authors":["Hertrich, Christoph","Loho, Georg"],"url":"https://arxiv.org/abs/2411.03006","arxiv_id":"2411.03006","published":"2026-05-29"},{"title":"Looking Beyond Text: Reducing Language bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance","abstract":"Large vision-language models (LVLMs) have achieved impressive results in various vision-language tasks. However, despite showing promising performance, LVLMs suffer from hallucinations caused by language bias, leading to diminished focus on images and ineffective visual comprehension. We identify two primary reasons for this bias: 1. Different scales of training data between the pretraining stage of LLM and multimoda","authors":["Zhao, Haozhe","Si, Shuzheng","Chen, Liang","Zhang, Yichi","Sun, Maosong","Zhang, Mingjia"],"url":"https://arxiv.org/abs/2411.14279","arxiv_id":"2411.14279","published":"2026-05-29"},{"title":"Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels","abstract":"Conventional federated learning (FL) heavily depends on high-quality labels, which are often impractical in the real world, leading to the federated label-noise (F-LN) problem. Worse still, the F-LN problem is exacerbated by the heterogeneity of FL, whereas clients experience different label-noise types, ratios, and data distribution. In this study, we first observe an intriguing phenomenon that the global model of F","authors":["Tian, Yuxin","Yang, Mouxing","Zhou, Yuhao","Wang, Jian","Ye, Qing","Liu, Tongliang"],"url":"https://arxiv.org/abs/2412.00452","arxiv_id":"2412.00452","published":"2026-05-29"},{"title":"Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems","abstract":"Personalized learning represents a promising educational strategy within intelligent educational systems, aiming to enhance learners' practice efficiency. However, the discrepancy between offline metrics and online performance significantly impedes their progress. To address this challenge, we introduce Agent4Edu, a novel personalized learning simulator leveraging recent advancements in human intelligence through","authors":["Gao, Weibo","Liu, Qi","Yue, Linan","Yao, Fangzhou","Lv, Rui","Zhang, Zheng"],"url":"https://arxiv.org/abs/2501.10332","arxiv_id":"2501.10332","published":"2026-05-29"},{"title":"Expertise elevates AI usage: experimental evidence comparing laypeople and professional artists","abstract":"Generative AI's novel capacities raise questions about the future role of human expertise: does AI level the playing field between professional artists and laypeople, or does expertise enhance AI use? Do the cognitive skills experts make use of in analyzing and drawing visual art also transfer to using these new tools? This pre-registered study conducts experimental comparisons between 50 professional artists and","authors":["Eisenmann, Thomas F.","Karjus, Andres","Sola, Mar Canet","Brinkmann, Levin","Supriyatno, Bramantyo Ibrahim","Rahwan, Iyad"],"url":"https://arxiv.org/abs/2501.12374","arxiv_id":"2501.12374","published":"2026-05-29"},{"title":"A Quotient Homology Theory of Representation in Neural Networks","abstract":"Previous research has proven that the set of maps implemented by neural networks with a ReLU activation function is identical to the set of piecewise linear continuous maps. Furthermore, such networks induce a hyperplane arrangement splitting the input domain of the network into convex polyhedra $G_J$ over which a network $Φ$ operates in an affine manner. In this work, we leverage these properties to define an equiva","authors":["Beshkov, Kosio"],"url":"https://arxiv.org/abs/2502.01360","arxiv_id":"2502.01360","published":"2026-05-29"},{"title":"CriticalKV: Optimizing KV Cache Eviction from an Output Perturbation Perspective","abstract":"Large language models have revolutionized natural language processing but face significant challenges of high storage and runtime costs, due to the transformer architecture's reliance on self-attention, particularly the large KV cache for long-sequence inference. Recent efforts to reduce KV cache size by pruning less critical entries based on attention weights remain empirical and lack formal grounding. This pape","authors":["Feng, Yuan","Lv, Junlin","Guo, Haoyu","Cao, Yukun","Zhou, S Kevin","Xie, Xike"],"url":"https://arxiv.org/abs/2502.03805","arxiv_id":"2502.03805","published":"2026-05-29"}],"history":{"events":[{"year":2020,"text":"An oil spill in Norilsk released 17,500 tons of diesel oil into nearby rivers.","url":"https://en.wikipedia.org/wiki/Norilsk_oil_spill"},{"year":2011,"text":"Residents of Portland, Oregon, held a rally called Hands Across Hawthorne in response to an attack against a gay couple holding hands while crossing the Hawthorne Bridge.","url":"https://en.wikipedia.org/wiki/Portland%2C_Oregon"},{"year":1999,"text":"Charlotte Perrelli, representing Sweden, won the Eurovision Song Contest, the first edition not to feature an orchestra or live accompaniment.","url":"https://en.wikipedia.org/wiki/Charlotte_Perrelli"},{"year":1999,"text":"President Olusegun Obasanjo took office as Nigeria's first elected and civilian head of state after 16 years of military dictatorship.","url":"https://en.wikipedia.org/wiki/Olusegun_Obasanjo"},{"year":1954,"text":"Diane Leather became the first woman to run a mile in less than five minutes.","url":"https://en.wikipedia.org/wiki/Diane_Leather"},{"year":1953,"text":"The mountaineers Edmund Hillary and Tenzing Norgay became the first people to reach the summit of Mount Everest.","url":"https://en.wikipedia.org/wiki/Edmund_Hillary"},{"year":1942,"text":"Bing Crosby recorded his version of the song \"White Christmas\", which went on to become the best-selling single worldwide, with more than 50 million copies sold.","url":"https://en.wikipedia.org/wiki/Bing_Crosby"},{"year":1935,"text":"A strike by copper miners in Northern Rhodesia ended after six workers were shot and killed by police.","url":"https://en.wikipedia.org/wiki/1935_Copperbelt_strike"},{"year":1918,"text":"World War I: Armenian forces defeated Ottoman troops at the Battle of Sardarabad, halting the Turkish advance and preventing further destruction of the Armenian nation.","url":"https://en.wikipedia.org/wiki/World_War_I"},{"year":1913,"text":"During the premiere of the ballet Le Sacre du printemps by Igor Stravinsky at the Théâtre des Champs-Élysées in Paris, the avant-garde nature of the music and choreography caused a near-riot in the audience (report pictured).","url":"https://en.wikipedia.org/wiki/The_Rite_of_Spring"},{"year":1911,"text":"English dramatist W. S. Gilbert of the songwriting duo Gilbert and Sullivan died while saving a young woman from drowning in his lake.","url":"https://en.wikipedia.org/wiki/W._S._Gilbert"},{"year":1900,"text":"N'Djamena, now the capital of Chad, was founded as Fort-Lamy by French commander Émile Gentil.","url":"https://en.wikipedia.org/wiki/N'Djamena"},{"year":1852,"text":"Swedish operatic soprano Jenny Lind concluded a successful concert tour of the United States under the management of showman P. T. Barnum.","url":"https://en.wikipedia.org/wiki/Soprano"},{"year":1851,"text":"Sojourner Truth (pictured) delivered her \"Ain't I a Woman?\" speech at the Woman's Rights Convention in Akron.","url":"https://en.wikipedia.org/wiki/Sojourner_Truth"},{"year":1792,"text":"The Great Sejm of the Polish–Lithuanian Commonwealth was disbanded following the Russian invasion of Poland.","url":"https://en.wikipedia.org/wiki/Great_Sejm"},{"year":1453,"text":"With the fall of Constantinople, the Byzantine Empire fell to the Ottomans.","url":"https://en.wikipedia.org/wiki/Fall_of_Constantinople"},{"year":1416,"text":"A squadron of the Venetian navy captured many Ottoman ships at the Battle of Gallipoli, confirming Venetian naval superiority in the Aegean Sea for the next few decades.","url":"https://en.wikipedia.org/wiki/Venetian_navy"},{"year":1233,"text":"Mongol–Jin War: The Mongols entered and began looting Kaifeng, the capital of the Jin dynasty of China, after a 13-month siege.","url":"https://en.wikipedia.org/wiki/Mongol_conquest_of_the_Jin_dynasty"}],"births":[{"year":2006,"text":"Gukesh Dommaraju, Indian chess player","url":"https://en.wikipedia.org/wiki/Gukesh_Dommaraju"},{"year":2002,"text":"Paul Skenes, American baseball player","url":"https://en.wikipedia.org/wiki/Paul_Skenes"},{"year":2001,"text":"Puka Nacua, American football player","url":"https://en.wikipedia.org/wiki/Puka_Nacua"},{"year":2001,"text":"Andrew Torgashev, American figure skater","url":"https://en.wikipedia.org/wiki/Andrew_Torgashev"},{"year":2000,"text":"Gennaro Nigro, American soccer player","url":"https://en.wikipedia.org/wiki/Gennaro_Nigro"},{"year":2000,"text":"Adam Zdrójkowski, Polish actor and television presenter","url":"https://en.wikipedia.org/wiki/Adam_Zdr%C3%B3jkowski"},{"year":1999,"text":"Park Ji-hoon, South Korean actor and singer","url":"https://en.wikipedia.org/wiki/Park_Ji-hoon"},{"year":1998,"text":"Markelle Fultz, American basketball player","url":"https://en.wikipedia.org/wiki/Markelle_Fultz"}],"deaths":[{"year":2025,"text":"Bernie Kerik, American police officer, 40th Police Commissioner of New York City and interior minister of the Iraqi Coalition Provisional Authority (born 1955)","url":"https://en.wikipedia.org/wiki/Bernard_Kerik"},{"year":2024,"text":"Bob Rogers, Australian radio and television host (born 1926)","url":"https://en.wikipedia.org/wiki/Bob_Rogers_(DJ)"},{"year":2022,"text":"Ronnie Hawkins, American rockabilly singer-songwriter and guitarist. (born 1935)","url":"https://en.wikipedia.org/wiki/Ronnie_Hawkins"},{"year":2022,"text":"Sidhu Moosewala, Indian singer, rapper, actor and politician. (born 1993)","url":"https://en.wikipedia.org/wiki/Sidhu_Moose_Wala"},{"year":2021,"text":"Gavin MacLeod, American actor, Christian activist, and author (born 1931)","url":"https://en.wikipedia.org/wiki/Gavin_MacLeod"},{"year":2021,"text":"Mark Eaton, American basketball player and sportscaster (born 1957)","url":"https://en.wikipedia.org/wiki/Mark_Eaton"},{"year":2021,"text":"B. J. Thomas, American singer (born 1942)","url":"https://en.wikipedia.org/wiki/B._J._Thomas"},{"year":2021,"text":"Cornelius Sim, Bruneian cardinal (born 1951)","url":"https://en.wikipedia.org/wiki/Cornelius_Sim"}]},"sources":[{"id":"attention","name":"Wikipedia most-read","url":"https://api.wikimedia.org","licence":"CC BY-SA 4.0","attribution":"Wikipedia contributors"},{"id":"frontier","name":"Hacker News","url":"https://news.ycombinator.com","licence":"Public API — titles and links, credited","attribution":"Hacker News / Y Combinator"},{"id":"research","name":"arXiv cs.AI","url":"https://arxiv.org","licence":"Open metadata, per arXiv API terms","attribution":"arXiv.org"},{"id":"history","name":"Wikipedia On this day","url":"https://api.wikimedia.org","licence":"CC BY-SA 4.0","attribution":"Wikipedia contributors"}],"licence":"Records are CC BY-SA 4.0, inheriting from Wikipedia. Every item links to its source."}