{"date":"2026-05-27","schema_version":1,"captured_at":"2026-08-25T23:10:06.829Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Obsession (2025 film)","views":230622,"rank":5,"extract":"Obsession is a 2025 American supernatural horror film written, directed, and edited by Curry Barker. 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This paper attempts to give a more unifying definition that can be applied to the natural world in general and then Artificial Intelligence. The definition would be used more to qualify than quantify it and might help when making judgements on the matter. While correct behaviour is the preferred definition, a metric that is grounded in Kolmog","authors":["Greer, Kieran"],"url":"https://arxiv.org/abs/1403.1076","arxiv_id":"1403.1076","published":"2026-05-27"},{"title":"Reformulation of RBM to Unify Linear and Nonlinear Dimensionality Reduction","abstract":"A restricted Boltzmann machine (RBM) is a two-layer neural network with shared weights and has been extensively studied for dimensionality reduction, data representation and recommendation systems in the literature. The traditional RBM requires a probabilistic interpretation of the values on both layers and a Markov chain Monte Carlo (MCMC) procedure to generate samples during the training. The contrastive divergence","authors":["You, Jiangsheng","Liu, Chun-Yen"],"url":"https://arxiv.org/abs/1909.08210","arxiv_id":"1909.08210","published":"2026-05-27"},{"title":"Continual Model-Based Reinforcement Learning with Hypernetworks","abstract":"Effective planning in model-based reinforcement learning (MBRL) and model-predictive control (MPC) relies on the accuracy of the learned dynamics model. In many instances of MBRL and MPC, this model is assumed to be stationary and is periodically re-trained from scratch on state transition experience collected from the beginning of environment interactions. This implies that the time required to train the dynamics mo","authors":["Huang, Yizhou","Xie, Kevin","Bharadhwaj, Homanga","Shkurti, Florian"],"url":"https://arxiv.org/abs/2009.11997","arxiv_id":"2009.11997","published":"2026-05-27"},{"title":"Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNN","abstract":"Learning the physical simulation on large-scale meshes with flat Graph Neural Networks (GNNs) and stacking Message Passings (MPs) is challenging due to the scaling complexity w.r.t. the number of nodes and over-smoothing. There has been growing interest in the community to introduce \\textit{multi-scale} structures to GNNs for physical simulation. However, current state-of-the-art methods are limited by their reliance","authors":["Cao, Yadi","Chai, Menglei","Li, Minchen","Jiang, Chenfanfu"],"url":"https://arxiv.org/abs/2210.02573","arxiv_id":"2210.02573","published":"2026-05-27"},{"title":"Towards Interpretable Federated Learning","abstract":"Federated learning (FL) enables multiple data owners to build machine learning models collaboratively without exposing their private local data. In order for FL to achieve widespread adoption, it is important to balance the need for performance, privacy-preservation and interpretability, especially in mission critical applications such as finance and healthcare. Thus, interpretable federated learning (IFL) has become","authors":["Li, Anran","Liu, Rui","Hu, Ming","Chen, Yuanyuan","Wang, Shipeng","Cui, Lizhen"],"url":"https://arxiv.org/abs/2302.13473","arxiv_id":"2302.13473","published":"2026-05-27"},{"title":"DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data","abstract":"Current perceptual similarity metrics operate at the level of pixels and patches. These metrics compare images in terms of their low-level colors and textures, but fail to capture mid-level similarities and differences in image layout, object pose, and semantic content. In this paper, we develop a perceptual metric that assesses images holistically. Our first step is to collect a new dataset of human similarity judgm","authors":["Fu, Stephanie","Tamir, Netanel","Sundaram, Shobhita","Chai, Lucy","Zhang, Richard","Dekel, Tali"],"url":"https://arxiv.org/abs/2306.09344","arxiv_id":"2306.09344","published":"2026-05-27"},{"title":"Robust Classification of High-Dimensional Data using Data-Adaptive Energy Distance","abstract":"Classification of high-dimensional low sample size (HDLSS) data poses a challenge in a variety of real-world situations, such as gene expression studies, cancer research, and medical imaging. This article presents the development and analysis of some classifiers that are specifically designed for HDLSS data. These classifiers are free of tuning parameters and are robust, in the sense that they are devoid of any momen","authors":["Choudhury, Jyotishka Ray","Saha, Aytijhya","Roy, Sarbojit","Dutta, Subhajit"],"url":"https://arxiv.org/abs/2306.13985","arxiv_id":"2306.13985","published":"2026-05-27"},{"title":"UPOCR: Towards Unified Pixel-Level OCR Interface","abstract":"Existing optical character recognition (OCR) methods rely on task-specific designs with divergent paradigms, architectures, and training strategies, which significantly increases the complexity of research and maintenance and hinders the fast deployment in applications. To this end, we propose UPOCR, a simple-yet-effective generalist model for Unified Pixel-level OCR interface. Specifically, the UPOCR unifies the par","authors":["Peng, Dezhi","Yang, Zhenhua","Zhang, Jiaxin","Liu, Chongyu","Shi, Yongxin","Ding, Kai"],"url":"https://arxiv.org/abs/2312.02694","arxiv_id":"2312.02694","published":"2026-05-27"},{"title":"SRL-CLIP: Efficient CLIP Video Adaptation via Structured Semantic Role Labels","abstract":"Adapting CLIP for videos has gained popularity due to its semantic and rich representation. While CLIP is a good starting point, it typically undergoes post-pretraining (contrastive finetuning) on large video narration or caption datasets (e.g. HowTo100M, WebVid2.5M). However, such narrations or captions often lack comprehensive information needed to represent a video holistically. As the learning signal from text is","authors":["Singh, Darshan","Khan, Zeeshan","Tapaswi, Makarand"],"url":"https://arxiv.org/abs/2401.07669","arxiv_id":"2401.07669","published":"2026-05-27"},{"title":"Enhancing Boundary Segmentation for Topological Accuracy with Skeleton-based Methods","abstract":"Topological consistency plays a crucial role in the task of boundary segmentation for reticular images, such as cell membrane segmentation in neuron electron microscopic images, grain boundary segmentation in material microscopic images and road segmentation in aerial images. In these fields, topological changes in segmentation results have a serious impact on the downstream tasks, which can even exceed the misalignm","authors":["Liu, Chuni","Ma, Boyuan","Ban, Xiaojuan","Xie, Yujie","Wang, Hao","Xue, Weihua"],"url":"https://arxiv.org/abs/2404.18539","arxiv_id":"2404.18539","published":"2026-05-27"},{"title":"CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection","abstract":"Recent vision-language pre-trained models (VL-PTMs) have shown remarkable success in open-vocabulary tasks. However, downstream use cases often involve further fine-tuning of VL-PTMs, which may distort their general knowledge and impair their ability to handle distribution shifts. In real-world scenarios, machine learning systems inevitably encounter both covariate shifts (e.g., changes in image styles) and semantic ","authors":["Zhu, Lin","Yang, Yifeng","Gu, Qinying","Wang, Xinbing","Zhou, Chenghu","Ye, Nanyang"],"url":"https://arxiv.org/abs/2405.16417","arxiv_id":"2405.16417","published":"2026-05-27"},{"title":"AD-H: Language-guided Autonomous Driving with Hierarchical Agents","abstract":"Language-guided autonomous driving requires bridging a large abstraction gap between high-level natural-language instructions and low-level vehicle control. End-to-end approaches that use a single multimodal large language model (MLLM) to map language directly to actions struggle with this mismatch, often failing to exploit the reasoning capabilities of the model and exhibiting limited generalization beyond the distr","authors":["Zhang, Zaibin","Fu, Talas","Tang, Shiyu","Zhang, Yuanhang","Wang, Yifan","Wang, Lijun"],"url":"https://arxiv.org/abs/2406.03474","arxiv_id":"2406.03474","published":"2026-05-27"},{"title":"Multi-Agent Causal Discovery Using Large Language Models","abstract":"Causal discovery aims to identify causal relationships between variables and is a fundamental problem across the sciences. Traditional statistical causal discovery (SCD) methods rely solely on observational data and ignore the contextual information available in metadata, whereas recent LLM-based methods exploit metadata but treat the large language model (LLM) as a single agent, leaving its judgments vulnerable to m","authors":["Le, Hao Duong","Xia, Xin","Xu, Haijie","Zhang, Chen"],"url":"https://arxiv.org/abs/2407.15073","arxiv_id":"2407.15073","published":"2026-05-27"},{"title":"Incremental Gauss-Newton Descent for Machine Learning","abstract":"Stochastic gradient updates are widely used for their efficiency and scalability, but their effective step sizes can depend strongly on feature scaling and local model sensitivity. Gauss-Newton methods address such scale effects through curvature information, but in their standard mini-batch form they require matrix-vector products, linear solves, or structured approximations. This paper studies the special case of s","authors":["Korbit, Mikalai","Zanon, Mario"],"url":"https://arxiv.org/abs/2408.05560","arxiv_id":"2408.05560","published":"2026-05-27"},{"title":"Interactive Agents: Simulating Counselor-Client Psychological Counseling via Role-Playing LLM-to-LLM Interactions","abstract":"Creating effective dialogue systems for mental health support requires high-quality multi-turn counseling dialogue data, yet collecting real counselor-client conversations presents significant challenges, including privacy concerns, high costs, and limited scalability. We present \\textbf{Interactive Agents}, a novel framework that simulates naturalistic counseling dialogues through controlled LLM-to-LLM interactions.","authors":["Qiu, Huachuan","Lan, Zhenzhong"],"url":"https://arxiv.org/abs/2408.15787","arxiv_id":"2408.15787","published":"2026-05-27"},{"title":"Neural Scaling Laws of Deep ReLU and Deep Operator Network: A Theoretical Study","abstract":"Neural scaling laws play a pivotal role in the performance of deep neural networks and have been observed in a wide range of tasks. However, a complete theoretical framework for understanding these scaling laws remains underdeveloped. In this paper, we explore the neural scaling laws for deep operator networks, which involve learning mappings between function spaces, with a focus on the Chen and Chen style architectu","authors":["Liu, Hao","Zhang, Zecheng","Liao, Wenjing","Schaeffer, Hayden"],"url":"https://arxiv.org/abs/2410.00357","arxiv_id":"2410.00357","published":"2026-05-27"},{"title":"CktGen: Automated Analog Circuit Design with Generative Artificial Intelligence","abstract":"The automatic synthesis of analog circuits presents significant challenges. Most existing approaches formulate the problem as a single-objective optimization task, overlooking that design specifications for a given circuit type vary widely across applications. To address this, we introduce specification-conditioned analog circuit generation, a task that directly generates analog circuits based on target specification","authors":["Hou, Yuxuan","Fan, Hehe","Zhang, Jianrong","Zhang, Yue","Chen, Hua","Zhou, Min"],"url":"https://arxiv.org/abs/2410.00995","arxiv_id":"2410.00995","published":"2026-05-27"},{"title":"Testing Support Size More Efficiently Than Learning Histograms","abstract":"Consider two problems about an unknown probability distribution $p$: 1. How many samples from $p$ are required to test if $p$ is supported on $n$ elements or not? Specifically, given samples from $p$, determine whether it is supported on at most $n$ elements, or it is "$ε$-far" (in total variation distance) from being supported on $n$ elements. 2. Given $m$ samples from $p$, what is the largest lower bound on","authors":["Pinto Jr., Renato Ferreira","Harms, Nathaniel"],"url":"https://arxiv.org/abs/2410.18915","arxiv_id":"2410.18915","published":"2026-05-27"},{"title":"CHESTNUT: A QoS Dataset for Mobile Edge Environments","abstract":"Quality of Service (QoS) is an important metric to measure the performance of network services. Nowadays, it is widely used in mobile edge environments to evaluate the quality of service when mobile devices request services from edge servers. QoS usually involves multiple dimensions, such as bandwidth, latency, jitter, and data packet loss rate. However, most existing QoS datasets, such as the common WS-Dream dataset","authors":["Zou, Guobing","Zhao, Fei","Hu, Shengxiang"],"url":"https://arxiv.org/abs/2410.19248","arxiv_id":"2410.19248","published":"2026-05-27"},{"title":"Fast Spectrum Estimation of Some Kernel Matrices","abstract":"In data science, individual observations are often assumed to come independently from an underlying probability space. Kernel matrices formed from large sets of such observations arise frequently, for example during classification tasks. It is desirable to know the eigenvalue decay properties of these matrices without explicitly forming them, such as when determining if a low-rank approximation is feasible. In this w","authors":["Lepilov, Mikhail"],"url":"https://arxiv.org/abs/2411.00657","arxiv_id":"2411.00657","published":"2026-05-27"},{"title":""Give Me BF16 or Give Me Death"? Accuracy-Performance Trade-Offs in LLM Quantization","abstract":"Quantization is a powerful tool for accelerating large language model (LLM) inference, but the accuracy-performance trade-offs across different formats remain unclear. In this paper, we conduct the most comprehensive empirical study to date, evaluating FP8, INT8, and INT4 quantization across academic benchmarks and real-world tasks on the entire Llama-3.1 model family. Through over 500,000 evaluations, our investigat","authors":["Kurtic, Eldar","Marques, Alexandre","Pandit, Shubhra","Kurtz, Mark","Alistarh, Dan"],"url":"https://arxiv.org/abs/2411.02355","arxiv_id":"2411.02355","published":"2026-05-27"},{"title":"Property Enhanced Instruction Tuning for Multi-task Molecule Generation with Large Language Models","abstract":"Large language models (LLMs) are widely applied in various natural language processing tasks such as question answering and machine translation. However, due to the lack of labeled data and the difficulty of manual annotation for biochemical properties, the performance for molecule generation tasks is still limited, especially for tasks involving multi-properties constraints. In this work, we present a two-step frame","authors":["Lin, Xuan","Chen, Long","Wang, Yile","Chen, Yangyang","Zeng, Xiangxiang"],"url":"https://arxiv.org/abs/2412.18084","arxiv_id":"2412.18084","published":"2026-05-27"},{"title":"LiPUP-MA: A Residential Experience-centric Multi-Agent Framework for Living-in-the-loop Participatory Urban Planning","abstract":"Participatory Urban Planning (PUP) is increasingly supported by LLM-based agents, yet existing methods largely rely on static preference elicitation and one-shot stakeholder discussions, overlooking the cyclical nature of real-world planning, where residential life, experience collection, and plan adjustment continually interact. We propose Living-in-the-loop Participatory Urban Planning (LiPUP), a closed-loop paradi","authors":["Ni, Hang","Wang, Yuzhi","Song, Yizhi","Liu, Hao"],"url":"https://arxiv.org/abs/2412.20505","arxiv_id":"2412.20505","published":"2026-05-27"},{"title":"Innovative Silicosis and Pneumonia Classification: Leveraging Graph Transformer Post-hoc Modeling and Ensemble Techniques","abstract":"This paper presents a comprehensive study on the classification and detection of Silicosis-related lung inflammation. Our main contributions include 1) the creation of a newly curated chest X-ray (CXR) image dataset named SVBCX that is tailored to the nuances of lung inflammation caused by distinct agents, providing a valuable resource for silicosis and pneumonia research community; and 2) we propose a novel deep-lea","authors":["Bui, Bao Q.","Nguyen, Tien T. T.","Le, Duy M.","Tran, Cong","Pham, Cuong"],"url":"https://arxiv.org/abs/2501.00520","arxiv_id":"2501.00520","published":"2026-05-27"},{"title":"Evaluating Sample Utility for Efficient Data Selection by Mimicking Model Weights","abstract":"Large-scale web-crawled datasets contain noise, bias, and irrelevant information, necessitating data selection techniques. Existing methods depend on hand-crafted heuristics, downstream datasets, or require expensive influence-based computations -- all of which limit scalability and introduce unwanted data dependencies. To address this, we introduce the Mimic Score, a simple and geometry-based data-quality metric tha","authors":["Huang, Tzu-Heng","Bilkhu, Manjot","Cooper, John","Sala, Frederic","Movellan, Javier"],"url":"https://arxiv.org/abs/2501.06708","arxiv_id":"2501.06708","published":"2026-05-27"}],"history":{"events":[{"year":2014,"text":"The football club Kerala Blasters FC and its first supporters' group Manjappada were formed.","url":"https://en.wikipedia.org/wiki/Kerala_Blasters_FC"},{"year":2006,"text":"An earthquake registering 6.4 Mw struck near the city of Yogyakarta on the southern side of the Indonesian island of Java, killing more than 5,700 people.","url":"https://en.wikipedia.org/wiki/2006_Yogyakarta_earthquake"},{"year":2001,"text":"Twenty tourists were kidnapped by Abu Sayyaf militants in Palawan, Philippines, triggering a hostage crisis that lasted for more than a year.","url":"https://en.wikipedia.org/wiki/Dos_Palmas_kidnappings"},{"year":1997,"text":"A destructive F5-rated tornado tracked through a subdivision of homes northwest of Jarrell, Texas, killing 27 people.","url":"https://en.wikipedia.org/wiki/Jarrell_tornado"},{"year":1995,"text":"American actor Christopher Reeve was thrown from his horse, leaving him quadriplegic; he later became an activist on behalf of people with spinal cord injuries.","url":"https://en.wikipedia.org/wiki/Christopher_Reeve"},{"year":1995,"text":"Bosnian War: Forces of the Army of Republika Srpska captured a United Nations post at Vrbanja Bridge in Sarajevo; six soldiers of both sides were killed when French forces retook the post later in the day.","url":"https://en.wikipedia.org/wiki/Bosnian_War"},{"year":1983,"text":"An explosion at an illegal fireworks factory near Benton, Tennessee, killed eleven people.","url":"https://en.wikipedia.org/wiki/Benton_fireworks_disaster"},{"year":1983,"text":"An explosion at an illegal fireworks factory near Benton, Tennessee, killed eleven people.","url":"https://en.wikipedia.org/wiki/Benton_fireworks_disaster"},{"year":1975,"text":"The deadliest road accident in England took place when the brakes on a coach failed and it crashed in North Yorkshire, killing 32 people.","url":"https://en.wikipedia.org/wiki/Bus"},{"year":1967,"text":"Australians voted overwhelmingly to include Indigenous Australians in population counts for constitutional purposes and to allow the federal government to make special laws affecting them in states.","url":"https://en.wikipedia.org/wiki/1967_Australian_referendum_(Aboriginals)"},{"year":1963,"text":"American singer Bob Dylan (pictured) released The Freewheelin' Bob Dylan, his first album to include a significant number of original songs.","url":"https://en.wikipedia.org/wiki/Bob_Dylan"},{"year":1962,"text":"A fire at a landfill in Centralia, Pennsylvania, spread to an abandoned coal mine, where it continues burning today.","url":"https://en.wikipedia.org/wiki/Landfill"},{"year":1958,"text":"The F-4 Phantom II, the principal air superiority jet fighter for both the U.S. Navy and Air Force, made its first flight.","url":"https://en.wikipedia.org/wiki/McDonnell_Douglas_F-4_Phantom_II"},{"year":1954,"text":"The security clearance of American nuclear physicist J. Robert Oppenheimer, head of Project Y, was revoked.","url":"https://en.wikipedia.org/wiki/J._Robert_Oppenheimer"},{"year":1941,"text":"World War II: The German battleship Bismarck was sunk by gun and torpedo fire by the British battleships HMS Rodney and HMS King George V and supporting cruisers.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1940,"text":"World War II: Ninety-seven soldiers of the British Royal Norfolk Regiment were killed after surrendering to German forces.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1937,"text":"The Golden Gate Bridge, at the time the world's longest suspension bridge by span, opened between San Francisco and Marin County, California.","url":"https://en.wikipedia.org/wiki/Golden_Gate_Bridge"},{"year":1935,"text":"The United States Supreme Court ruled in A.L.A. Schechter Poultry Corp. v. United States that the National Industrial Recovery Act, a major component of the New Deal, was unconstitutional.","url":"https://en.wikipedia.org/wiki/Supreme_Court_of_the_United_States"}],"births":[{"year":2003,"text":"Franco Colapinto, Argentine racing driver","url":"https://en.wikipedia.org/wiki/Franco_Colapinto"},{"year":2002,"text":"Jérémy Doku, Belgian footballer","url":"https://en.wikipedia.org/wiki/J%C3%A9r%C3%A9my_Doku"},{"year":2002,"text":"Gabri Veiga, Spanish footballer","url":"https://en.wikipedia.org/wiki/Gabri_Veiga"},{"year":2000,"text":"Abner Vinícius, Brazilian footballer","url":"https://en.wikipedia.org/wiki/Abner_Vin%C3%ADcius"},{"year":1999,"text":"Matheus Cunha, Brazilian footballer","url":"https://en.wikipedia.org/wiki/Matheus_Cunha"},{"year":1999,"text":"Lily-Rose Depp, French-American actress and model","url":"https://en.wikipedia.org/wiki/Lily-Rose_Depp"},{"year":1998,"text":"Josep Martínez, Spanish footballer","url":"https://en.wikipedia.org/wiki/Josep_Mart%C3%ADnez"},{"year":1997,"text":"Anna Bondar, Hungarian tennis player","url":"https://en.wikipedia.org/wiki/Anna_Bond%C3%A1r"}],"deaths":[{"year":2025,"text":"Freddie Aguilar, Filipino musician and singer-songwriter (born 1953)","url":"https://en.wikipedia.org/wiki/Freddie_Aguilar"},{"year":2024,"text":"Elizabeth MacRae, American actress (born 1936)","url":"https://en.wikipedia.org/wiki/Elizabeth_MacRae"},{"year":2024,"text":"Bill Walton, American basketball player and sportscaster (born 1952)","url":"https://en.wikipedia.org/wiki/Bill_Walton"},{"year":2021,"text":"Poul Schlüter, former Prime Minister of Denmark (born 1929)","url":"https://en.wikipedia.org/wiki/Poul_Schl%C3%BCter"},{"year":2020,"text":"Larry Kramer, American playwright, public health advocate and LGBT rights activist (born 1935)","url":"https://en.wikipedia.org/wiki/Larry_Kramer"},{"year":2018,"text":"Gardner Dozois, American science fiction author and editor (born 1947)","url":"https://en.wikipedia.org/wiki/Gardner_Dozois"},{"year":2017,"text":"Gregg Allman, American musician, singer and songwriter (born 1947)","url":"https://en.wikipedia.org/wiki/Gregg_Allman"},{"year":2015,"text":"Erik Carlsson, Swedish rally driver (born 1929)","url":"https://en.wikipedia.org/wiki/Erik_Carlsson"}]},"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."}