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who fished for nearly a century dies aged 105","points":235,"comments":61,"url":"https://www.theguardian.com/us-news/2026/jan/28/maine-lobster-lady-dies-aged-105","discussion":"https://news.ycombinator.com/item?id=46804854"},{"title":"Is the RAM shortage killing small VPS hosts?","points":228,"comments":255,"url":"https://www.fourplex.net/2026/01/29/is-the-ram-shortage-killing-small-vps-hosts/","discussion":"https://news.ycombinator.com/item?id=46811664"}],"research":[{"title":"A Roadmap for Greater Public Use of Privacy-Sensitive Government Data: Workshop Report","abstract":"Government agencies collect and manage a wide range of ever-growing datasets. While such data has the potential to support research and evidence-based policy making, there are concerns that the dissemination of such data could infringe upon the privacy of the individuals (or organizations) from whom such data was collected. To appraise the current state of data sharing, as well as learn about opportunities for stimul","authors":["Clifton, Chris","Malin, Bradley","Oganian, Anna","Raskar, Ramesh","Sharma, Vivek"],"url":"https://arxiv.org/abs/2208.01636","arxiv_id":"2208.01636","published":"2026-01-29"},{"title":"FC-PINO: High Precision Physics-Informed Neural Operators via Fourier Continuation","abstract":"The physics-informed neural operator (PINO) is a machine learning paradigm that has demonstrated promising results for learning solutions to partial differential equations (PDEs). It leverages the Fourier Neural Operator to learn solution operators in function spaces and leverages physics losses during training to penalize deviations from known physics laws. Spectral differentiation provides an efficient way to compu","authors":["Ganeshram, Adarsh","Maust, Haydn","Duruisseaux, Valentin","Li, Zongyi","Wang, Yixuan","Leibovici, Daniel"],"url":"https://arxiv.org/abs/2211.15960","arxiv_id":"2211.15960","published":"2026-01-29"},{"title":"The crime of being poor","abstract":"The criminalization of poverty has been widely denounced as a collective bias against the most vulnerable. NGOs and international organizations claim that the poor are blamed for their situation, are more often associated with criminal offenses than the wealthy strata of society and even incur criminal offenses simply as a result of being poor. While no evidence has been found in the literature that correlates povert","authors":["Curto, Georgina","Kiritchenko, Svetlana","Nejadgholi, Isar","Fraser, Kathleen C."],"url":"https://arxiv.org/abs/2303.14128","arxiv_id":"2303.14128","published":"2026-01-29"},{"title":"Toward Highly Efficient and Private Submodular Maximization via Matrix-Based Acceleration","abstract":"Submodular function maximization is a critical building block for diverse tasks, such as document summarization, sensor placement, and image segmentation. Yet its practical utility is often limit by the $O(knd^2)$ computational bottleneck. In this paper, we propose an integrated framework that addresses efficiency and privacy simultaneously. First, we introduce a novel matrix-based computation paradigm that accelerat","authors":["Liu, Boyu","Qin, Lianke","Song, Zhao","Wang, Yitan","Zhao, Jiale"],"url":"https://arxiv.org/abs/2305.08367","arxiv_id":"2305.08367","published":"2026-01-29"},{"title":"Membership Privacy Risks of Sharpness Aware Minimization","abstract":"Optimization algorithms that seek flatter minima, such as Sharpness-Aware Minimization (SAM), are credited with improved generalization and robustness to noise. We ask whether such gains impact membership privacy. Surprisingly, we find that SAM is more prone to Membership Inference Attacks (MIA) than classical SGD across multiple datasets and attack methods, despite achieving lower test error. This suggests that the ","authors":["Kim, Young In","Agiollo, Andrea","Agrawal, Pratiksha","Royset, Johannes O.","Khanna, Rajiv"],"url":"https://arxiv.org/abs/2310.00488","arxiv_id":"2310.00488","published":"2026-01-29"},{"title":"Comparing Time-Series Analysis Approaches Utilized in Research Papers to Forecast COVID-19 Cases in Africa: A Literature Review","abstract":"This literature review aimed to compare various time-series analysis approaches utilized in forecasting COVID-19 cases in Africa. The study involved a methodical search for English-language research papers published between January 2020 and July 2023, focusing specifically on papers that utilized time-series analysis approaches on COVID-19 datasets in Africa. A variety of databases including PubMed, Google Scholar, S","authors":["Ebadi, Ali","Sahafizadeh, Ebrahim"],"url":"https://arxiv.org/abs/2310.03606","arxiv_id":"2310.03606","published":"2026-01-29"},{"title":"Robust MAE-Driven NAS: From Mask Reconstruction to Architecture Innovation","abstract":"Neural Architecture Search (NAS) relies heavily on labeled data, which is labor-intensive and time-consuming to obtain. In this paper, we propose a novel NAS method based on an unsupervised paradigm, specifically Masked Autoencoders (MAE), thereby eliminating the need for labeled data. By replacing the supervised learning objective with an image reconstruction task, our approach enables the efficient discovery of net","authors":["Hu, Yiming","Chu, Xiangxiang","Wang, Yong"],"url":"https://arxiv.org/abs/2311.12086","arxiv_id":"2311.12086","published":"2026-01-29"},{"title":"Diffusion Noise Feature: Accurate and Fast Generated Image Detection","abstract":"Generative models now produce images with such stunning realism that they can easily deceive the human eye. While this progress unlocks vast creative potential, it also presents significant risks, such as the spread of misinformation. Consequently, detecting generated images has become a critical research challenge. However, current detection methods are often plagued by low accuracy and poor generalization. In this ","authors":["Zhang, Yichi","Xu, Xiaogang"],"url":"https://arxiv.org/abs/2312.02625","arxiv_id":"2312.02625","published":"2026-01-29"},{"title":"LLM Multi-Agent Systems: Challenges and Open Problems","abstract":"This paper explores multi-agent systems and identify challenges that remain inadequately addressed. By leveraging the diverse capabilities and roles of individual agents, multi-agent systems can tackle complex tasks through agent collaboration. We discuss optimizing task allocation, fostering robust reasoning through iterative debates, managing complex and layered context information, and enhancing memory management ","authors":["Han, Shanshan","Zhang, Qifan","Jin, Weizhao","Xu, Zhaozhuo"],"url":"https://arxiv.org/abs/2402.03578","arxiv_id":"2402.03578","published":"2026-01-29"},{"title":"LLMBind: A Unified Modality-Task Integration Framework","abstract":"Despite recent progress in Multi-Modal Large Language Models (MLLMs), it remains challenging to integrate diverse tasks ranging from pixel-level perception to high-fidelity generation. Existing approaches often suffer from either restricted task extensibility or severe performance degradation due to modality interference. n this paper, we present LLMBind, an extensible framework that unifies multimodal tasks through ","authors":["Zhu, Bin","Ning, Munan","Jin, Peng","Lin, Bin","Huang, Jinfa","Song, Qi"],"url":"https://arxiv.org/abs/2402.14891","arxiv_id":"2402.14891","published":"2026-01-29"},{"title":"GenCode: A Generic Data Augmentation Framework for Boosting Deep Learning-Based Code Understanding","abstract":"Pre-trained code models lead the era of code intelligence, with multiple models designed with impressive performance. However, one important problem, data augmentation for code data that automatically helps developers prepare training data lacks study in this field. In this paper, we introduce a generic data augmentation framework, GenCode, to enhance the training of code understanding models. Simply speaking, GenCod","authors":["Dong, Zeming","Hu, Qiang","Xie, Xiaofei","Cordy, Maxime","Papadakis, Mike","Traon, Yves Le"],"url":"https://arxiv.org/abs/2402.15769","arxiv_id":"2402.15769","published":"2026-01-29"},{"title":"CCDSReFormer: Traffic Flow Prediction with a Criss-Crossed Dual-Stream Enhanced Rectified Transformer Model","abstract":"Accurate, and effective traffic forecasting is vital for smart traffic systems, crucial in urban traffic planning and management. Current Spatio-Temporal Transformer models, despite their prediction capabilities, struggle with balancing computational efficiency and accuracy, favoring global over local information, and handling spatial and temporal data separately, limiting insight into complex interactions. We introd","authors":["Shao, Zhiqi","Bell, Michael G. H.","Wang, Ze","Geers, D. Glenn","Yao, Xusheng","Gao, Junbin"],"url":"https://arxiv.org/abs/2403.17753","arxiv_id":"2403.17753","published":"2026-01-29"},{"title":"GPT2MEG: Quantizing MEG for Autoregressive Generation","abstract":"Foundation models trained with self-supervised objectives are increasingly applied to brain recordings, but autoregressive generation of realistic multichannel neural time series remains comparatively underexplored, particularly for Magnetoencephalography (MEG). We study (i) modified multichannel WaveNet variants and (ii) a GPT-2-style Transformer, autoregressively trained by next-step prediction on unlabelled MEG. F","authors":["Csaky, Richard","van Es, Mats W. J.","Jones, Oiwi Parker","Woolrich, Mark"],"url":"https://arxiv.org/abs/2404.09256","arxiv_id":"2404.09256","published":"2026-01-29"},{"title":"Optimization of Energy Consumption Forecasting in Puno using Parallel Computing and ARIMA Models: An Innovative Approach to Big Data Processing","abstract":"This research presents an innovative use of parallel computing with the ARIMA (AutoRegressive Integrated Moving Average) model to forecast energy consumption in Peru's Puno region. The study conducts a thorough and multifaceted analysis, focusing on the execution speed, prediction accuracy, and scalability of both sequential and parallel implementations. A significant emphasis is placed on efficiently managing la","authors":["Vilca-Tinta, Cliver W.","Torres-Cruz, Fred","Quispe-Morales, Josefh J."],"url":"https://arxiv.org/abs/2408.00014","arxiv_id":"2408.00014","published":"2026-01-29"},{"title":"LogogramNLP: Comparing Visual and Textual Representations of Ancient Logographic Writing Systems for NLP","abstract":"Standard natural language processing (NLP) pipelines operate on symbolic representations of language, which typically consist of sequences of discrete tokens. However, creating an analogous representation for ancient logographic writing systems is an extremely labor intensive process that requires expert knowledge. At present, a large portion of logographic data persists in a purely visual form due to the absence of ","authors":["Chen, Danlu","Shi, Freda","Agarwal, Aditi","Myerston, Jacobo","Berg-Kirkpatrick, Taylor"],"url":"https://arxiv.org/abs/2408.04628","arxiv_id":"2408.04628","published":"2026-01-29"},{"title":"SimBench: A Framework for Evaluating and Diagnosing LLM-Based Digital-Twin Generation for Multi-Physics Simulation","abstract":"We introduce SimBench, a benchmark designed to evaluate the proficiency of simulator-oriented LLMs (S-LLMs) in generating digital twins (DTs) that can be used in simulators for virtual testing. Given a collection of S-LLMs, this benchmark ranks them according to their ability to produce high-quality DTs. We demonstrate this by comparing over 33 open- and closed-source S-LLMs. Using multi-turn interactions, SimBench e","authors":["Wang, Jingquan","Negrut, Andrew","Wang, Hongyu","Zhang, Harry","Negrut, Dan"],"url":"https://arxiv.org/abs/2408.11987","arxiv_id":"2408.11987","published":"2026-01-29"},{"title":"Tokenization for Molecular Foundation Models","abstract":"Text-based foundation models have become an important part of scientific discovery, with molecular foundation models accelerating advancements in material science and molecular design.However, existing models are constrained by closed-vocabulary tokenizers that capture only a fraction of molecular space. In this work, we systematically evaluate 34 tokenizers, including 19 chemistry-specific ones, and reveal significa","authors":["Wadell, Alexius","Bhutani, Anoushka","Viswanathan, Venkatasubramanian"],"url":"https://arxiv.org/abs/2409.15370","arxiv_id":"2409.15370","published":"2026-01-29"},{"title":"Improving Fine-Grained Control via Aggregation of Multiple Diffusion Models","abstract":"While many diffusion models perform well when controlling particular aspects such as style, character, and interaction, they struggle with fine-grained control due to dataset limitations and intricate model architecture design. This paper introduces a novel training-free algorithm for fine-grained generation, called Aggregation of Multiple Diffusion Models (AMDM). The algorithm integrates features in the latent data ","authors":["Yue, Conghan","Peng, Zhengwei","Du, Shiyan","Ji, Zhi","Cai, Chuangjian","Wan, Le"],"url":"https://arxiv.org/abs/2410.01262","arxiv_id":"2410.01262","published":"2026-01-29"},{"title":"HyResPINNs: A Hybrid Residual Physics-Informed Neural Network Architecture Designed to Balance Expressiveness and Trainability","abstract":"Physics-informed neural networks (PINNs) have emerged as a powerful approach for solving partial differential equations (PDEs) by training neural networks with loss functions that incorporate physical constraints. In this work, we introduce HyResPINNs, a two-level convex-gated architecture designed to maximize approximation expressiveness for a fixed number of degrees of freedom (DoF). The first level involves a trai","authors":["Cooley, Madison","Kirby, Robert M.","Zhe, Shandian","Shankar, Varun"],"url":"https://arxiv.org/abs/2410.03573","arxiv_id":"2410.03573","published":"2026-01-29"},{"title":"Event-guided Low-light Video Semantic Segmentation","abstract":"Recent video semantic segmentation (VSS) methods have demonstrated promising results in well-lit environments. However, their performance significantly drops in low-light scenarios due to limited visibility and reduced contextual details. In addition, unfavorable low-light conditions make it harder to incorporate temporal consistency across video frames and thus, lead to video flickering effects. Compared with conven","authors":["Yao, Zhen","Chuah, Mooi Choo"],"url":"https://arxiv.org/abs/2411.00639","arxiv_id":"2411.00639","published":"2026-01-29"},{"title":"LLMStinger: Jailbreaking LLMs using RL fine-tuned LLMs","abstract":"We introduce LLMStinger, a novel approach that leverages Large Language Models (LLMs) to automatically generate adversarial suffixes for jailbreak attacks. Unlike traditional methods, which require complex prompt engineering or white-box access, LLMStinger uses a reinforcement learning (RL) loop to fine-tune an attacker LLM, generating new suffixes based on existing attacks for harmful questions from the HarmBench be","authors":["Jha, Piyush","Arora, Arnav","Ganesh, Vijay"],"url":"https://arxiv.org/abs/2411.08862","arxiv_id":"2411.08862","published":"2026-01-29"},{"title":"NLPrompt: Noise-Label Prompt Learning for Vision-Language Models","abstract":"The emergence of vision-language foundation models, such as CLIP, has revolutionized image-text representation, enabling a broad range of applications via prompt learning. Despite its promise, real-world datasets often contain noisy labels that can degrade prompt learning performance. In this paper, we demonstrate that using mean absolute error (MAE) loss in prompt learning, named PromptMAE, significantly enhances ro","authors":["Pan, Bikang","Li, Qun","Tang, Xiaoying","Huang, Wei","Fang, Zhen","Liu, Feng"],"url":"https://arxiv.org/abs/2412.01256","arxiv_id":"2412.01256","published":"2026-01-29"},{"title":"Progressive-Resolution Policy Distillation: Leveraging Coarse-Resolution Simulations for Time-Efficient Fine-Resolution Policy Learning","abstract":"In earthwork and construction, excavators often encounter large rocks mixed with various soil conditions, requiring skilled operators. This paper presents a framework for achieving autonomous excavation using reinforcement learning (RL) through a rock excavation simulator. In the simulation, resolution can be defined by the particle size/number in the whole soil space. Fine-resolution simulations closely mimic real-w","authors":["Kadokawa, Yuki","Tahara, Hirotaka","Matsubara, Takamitsu"],"url":"https://arxiv.org/abs/2412.07477","arxiv_id":"2412.07477","published":"2026-01-29"},{"title":"Hierarchical Multi-Agent DRL Based Dynamic Cluster Reconfiguration for UAV Mobility Management","abstract":"Multi-connectivity involves dynamic cluster formation among distributed access points (APs) and coordinated resource allocation from these APs, highlighting the need for efficient mobility management strategies for users with multi-connectivity. In this paper, we propose a novel mobility management scheme for unmanned aerial vehicles (UAVs) that uses dynamic cluster reconfiguration with energy-efficient power allocat","authors":["Meer, Irshad A.","Besser, Karl-Ludwig","Ozger, Mustafa","Schupke, Dominic","Poor, H. Vincent","Cavdar, Cicek"],"url":"https://arxiv.org/abs/2412.16167","arxiv_id":"2412.16167","published":"2026-01-29"},{"title":"Are LLMs Really Not Knowledgeable? Mining the Submerged Knowledge in LLMs' Memory","abstract":"Large language models (LLMs) have shown promise as parametric knowledge bases, but often underperform on question answering (QA) tasks due to hallucinations and uncertainty. While prior work attributes these failures to knowledge gaps in the model's parameters, we uncover a complementary phenomenon: LLMs frequently retain correct knowledge even when generating incorrect or "unsure" answers. By analyzing t","authors":["Tao, Xingjian","Wang, Yiwei","Cai, Yujun","Yang, Zhicheng","Tang, Jing"],"url":"https://arxiv.org/abs/2412.20846","arxiv_id":"2412.20846","published":"2026-01-29"}],"history":{"events":[{"year":2017,"text":"A lone gunman carried out a mass shooting at a mosque in Quebec City, Canada, killing six people and injuring up to nineteen others.","url":"https://en.wikipedia.org/wiki/Quebec_City_mosque_shooting"},{"year":2013,"text":"Twenty-one people died when SCAT Airlines Flight 760 crashed near Almaty, Kazakhstan.","url":"https://en.wikipedia.org/wiki/SCAT_Airlines_Flight_760"},{"year":2009,"text":"The Supreme Constitutional Court of Egypt ruled that people who did not adhere to one of the three government-recognised religions were also eligible to receive government identity documents.","url":"https://en.wikipedia.org/wiki/Supreme_Constitutional_Court_(Egypt)"},{"year":2006,"text":"India's Irfan Pathan became the first bowler to take a Test cricket hat-trick in the opening over of a match.","url":"https://en.wikipedia.org/wiki/India_national_cricket_team"},{"year":1991,"text":"The first major ground engagement of the Gulf War began with the Iraqi invasion of Khafji, Saudi Arabia, recaptured three days later by Coalition forces.","url":"https://en.wikipedia.org/wiki/Battle_of_Khafji"},{"year":1967,"text":"The Mantra-Rock Dance (poster pictured), called the \"ultimate high\" of the hippie era, took place in San Francisco, featuring Swami Bhaktivedanta, Janis Joplin, the Grateful Dead, and Allen Ginsberg.","url":"https://en.wikipedia.org/wiki/Mantra-Rock_Dance"},{"year":1944,"text":"World War II: At least 38 civilians were killed and about a dozen others injured when the Polish village of Koniuchy was attacked by a Soviet partisan unit with a contingent of Jewish partisans.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1943,"text":"World War II: The Battle of Rennell Island, the last major naval engagement between the United States Navy and the Imperial Japanese Navy during the Guadalcanal campaign, began.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1911,"text":"Mexican Revolution: The Magonista rebellion began when Mexican Liberal Party troops captured the town of Mexicali.","url":"https://en.wikipedia.org/wiki/Mexican_Revolution"},{"year":1907,"text":"Charles Curtis (pictured) of Kansas, a citizen of the Kaw Nation, became the first Native American U.S. Senator.","url":"https://en.wikipedia.org/wiki/Charles_Curtis"},{"year":1891,"text":"Liliʻuokalani, the last monarch and only queen regnant of the Hawaiian Kingdom, ascended the throne.","url":"https://en.wikipedia.org/wiki/Lili%CA%BBuokalani"},{"year":1856,"text":"Queen Victoria introduced the Victoria Cross, originally to recognise acts of valour by British military personnel during the Crimean War.","url":"https://en.wikipedia.org/wiki/Queen_Victoria"},{"year":1845,"text":"American poet Edgar Allan Poe's \"The Raven\" appeared in The Evening Mirror as the newspaper's first publication attributed to Poe.","url":"https://en.wikipedia.org/wiki/Edgar_Allan_Poe"},{"year":1814,"text":"War of the Sixth Coalition: At the Battle of Brienne, both sides' commanders, Napoleon and Gebhard Leberecht von Blücher, were nearly captured.","url":"https://en.wikipedia.org/wiki/War_of_the_Sixth_Coalition"},{"year":946,"text":"The Abbasid caliph, al-Mustakfi, was deposed, and went on to spend the rest of his life as a prisoner in the caliphal palace.","url":"https://en.wikipedia.org/wiki/Abbasid_Caliphate"},{"year":904,"text":"Sergius III returned from exile to take over the papacy from the deposed antipope Christopher.","url":"https://en.wikipedia.org/wiki/Pope_Sergius_III"},{"year":757,"text":"An Lushan, leader of a revolt against the Tang dynasty and emperor of Yan, was assassinated in a plot involving his own son, An Qingxu.","url":"https://en.wikipedia.org/wiki/AD_757"}],"births":[{"year":2003,"text":"Jarell Quansah, English footballer","url":"https://en.wikipedia.org/wiki/Jarell_Quansah"},{"year":2001,"text":"Lee Dae-hwi, South Korean singer","url":"https://en.wikipedia.org/wiki/Lee_Dae-hwi"},{"year":1997,"text":"Joel Eriksson Ek, Swedish ice hockey player","url":"https://en.wikipedia.org/wiki/Joel_Eriksson_Ek"},{"year":1997,"text":"Jack Roslovic, American ice hockey player","url":"https://en.wikipedia.org/wiki/Jack_Roslovic"},{"year":1993,"text":"Kyary Pamyu Pamyu, Japanese singer","url":"https://en.wikipedia.org/wiki/Kyary_Pamyu_Pamyu"},{"year":1992,"text":"Markel Brown, American basketball player","url":"https://en.wikipedia.org/wiki/Markel_Brown"},{"year":1992,"text":"Maxi Kleber, German basketball player","url":"https://en.wikipedia.org/wiki/Maxi_Kleber"},{"year":1989,"text":"Mohamed Abou Gabal, Egyptian footballer","url":"https://en.wikipedia.org/wiki/Mohamed_Abou_Gabal"}],"deaths":[{"year":2025,"text":"Salwan Momika, Iraqi refugee and anti-Islam activist (born 1986)","url":"https://en.wikipedia.org/wiki/Salwan_Momika"},{"year":2025,"text":"Richard Williamson, British Catholic traditionalist bishop (born 1940)","url":"https://en.wikipedia.org/wiki/Richard_Williamson_(bishop)"},{"year":2025,"text":"Victims in the 2025 Potomac River mid-air collision:","url":"https://en.wikipedia.org/wiki/Vadim_Naumov"},{"year":2025,"text":"Victims in the 2025 Potomac River mid-air collision:","url":"https://en.wikipedia.org/wiki/Evgenia_Shishkova"},{"year":2025,"text":"Victims in the 2025 Potomac River mid-air collision:","url":"https://en.wikipedia.org/wiki/Inna_Volyanskaya"},{"year":2025,"text":"Victims in the 2025 Potomac River mid-air collision:","url":"https://en.wikipedia.org/wiki/Alexandr_Kirsanov"},{"year":2023,"text":"Hazel McCallion, Canadian businesswoman and politician, 5th Mayor of Mississauga (born 1921)","url":"https://en.wikipedia.org/wiki/Hazel_McCallion"},{"year":2023,"text":"Will Steffen, American-Australian chemist (born 1947)","url":"https://en.wikipedia.org/wiki/Will_Steffen"}]},"census":null,"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."}