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Every arXiv paper Paperlayer has summarized so far. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.
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50,821 to 50,880 of 61,351
Slope One Predictors for Online Rating-Based Collaborative Filtering
Daniel Lemire, Anna Maclachlan
cs.DBcs.AIarXiv:cs/0702144v22007TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models
Minghao Li, Tengchao Lv, Jingye Chen +6
cs.CLcs.CVarXiv:2109.10282v52021HashNet: Deep Learning to Hash by Continuation
Zhangjie Cao, Mingsheng Long, Jianmin Wang +1
cs.LGcs.CVarXiv:1702.00758v42017How Agents Represent Humans: Human-Directed Stereotypes in an Open Agent Social Network
Huangchen Xu, Yuan Wu, Yi Chang
cs.CLarXiv:2608.22192v12026dewi-kadita: A Python Library for Idealized Fish Schooling Simulation with Entropy-Based Diagnostics
Sandy H. S. Herho, Iwan P. Anwar, Faruq Khadami +5
physics.comp-phcond-mat.softcond-mat.stat-mecharXiv:2602.07948v12026Free(): Learning to Forget in Malloc-Only Reasoning Models
Yilun Zheng, Dongyang Ma, Tian Liang +5
cs.AIcs.CLarXiv:2602.08030v22026Editing Factual Knowledge in Language Models
Nicola De Cao, Wilker Aziz, Ivan Titov
cs.CLcs.AIcs.LGarXiv:2104.08164v22021Thinking Is Not Telling: Information Disclosure in User-Service LLM Agents
Jiatong Li, Changdae Oh, Hyeong Kyu Choi +2
cs.CLarXiv:2602.07796v22026Graph-Enhanced Deep Reinforcement Learning for Multi-Objective Unrelated Parallel Machine Scheduling
Bulent Soykan, Sean Mondesire, Ghaith Rabadi +1
cs.AIcs.ETarXiv:2602.08052v12026Dreaming in Code for Curriculum Learning in Open-Ended Worlds
Konstantinos Mitsides, Maxence Faldor, Antoine Cully
cs.LGcs.AIcs.CLarXiv:2602.08194v12026Multi-modal Transformer for Video Retrieval
Valentin Gabeur, Chen Sun, Karteek Alahari +1
cs.CVarXiv:2007.10639v12020Label-Efficient Semantic Segmentation with Diffusion Models
Dmitry Baranchuk, Ivan Rubachev, Andrey Voynov +2
cs.CVcs.LGarXiv:2112.03126v32021FlexMoRE: A Flexible Mixture of Rank-heterogeneous Experts for Efficient Federatedly-trained Large Language Models
Annemette Brok Pirchert, Jacob Nielsen, Mogens Henrik From +2
cs.LGarXiv:2602.08818v12026Constraint-Driven Modeling Enabling Dual Model Checking and Simulation for Discrete Event Systems
Soroosh Gholami, Hessam S. Sarjoughian
cs.SEcs.ARcs.LOarXiv:2608.22095v12026Trustworthy Visual Quality Inspection under Data Scarcity in Manufacturing
Panagiotis Sapoutzoglou, Jessy Ribaira, Martin Kanounnikoff +3
cs.CVarXiv:2608.21967v12026EcoGym: Evaluating LLMs for Long-Horizon Plan-and-Execute in Interactive Economies
Xavier Hu, Jinxiang Xia, Shengze Xu +13
cs.CLcs.AIarXiv:2602.09514v32026SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
Bichen Wu, Xuanyu Zhou, Sicheng Zhao +2
cs.CVarXiv:1809.08495v12018Steer2Edit: From Activation Steering to Component-Level Editing
Chung-En Sun, Ge Yan, Zimo Wang +1
cs.CLarXiv:2602.09870v22026On the Optimal Reasoning Length for RL-Trained Language Models
Daisuke Nohara, Taishi Nakamura, Rio Yokota
cs.CLcs.AIcs.LGarXiv:2602.09591v32026Region-Weighted Losses and Model Fusion for Cross-Modal PET Attenuation Correction
Khoa Tuan Nguyen, Joris Vankerschaver, Wesley De Neve
cs.CVarXiv:2608.21881v12026Deep neural network models for computational histopathology: A survey
Chetan L. Srinidhi, Ozan Ciga, Anne L. Martel
eess.IVcs.CVcs.LGarXiv:1912.12378v22019Can I Have Your Order? Monte-Carlo Tree Search for Slot Filling Ordering in Diffusion Language Models
Joshua Ong Jun Leang, Yu Zhao, Mihaela Cătălina Stoian +3
cs.AIarXiv:2602.12586v22026Chain of Mindset: Reasoning with Adaptive Cognitive Modes
Tianyi Jiang, Arctanx An, Hengyi Feng +12
cs.AIarXiv:2602.10063v22026Clustering and Community Detection in Directed Networks: A Survey
Fragkiskos D. Malliaros, Michalis Vazirgiannis
cs.SIcs.IRphysics.bio-pharXiv:1308.0971v12013A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song, Ting Wang, Subrota K Mondal +1
cs.LGarXiv:2205.06743v22022Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator
Maryam Fazel, Rong Ge, Sham M. Kakade +1
cs.LGstat.MLarXiv:1801.05039v32018SpatialDiff: 3D-Aware Object Movement via Implicit Spatial Modeling
Zheng Liu, Zijian He, Huiguo He +5
cs.CVarXiv:2608.21776v12026Automatically designing CNN architectures using genetic algorithm for image classification
Yanan Sun, Bing Xue, Mengjie Zhang +1
cs.NEarXiv:1808.03818v32018AssetFormer: Modular 3D Assets Generation with Autoregressive Transformer
Lingting Zhu, Shengju Qian, Haidi Fan +6
cs.CVarXiv:2602.12100v12026When Not to Imitate: Boundary-Aware Skill Memory for Reliable Tool-Use LLM Agents
Zihan Lin, Zhenyu Chen, Jiawen Wei +6
cs.CLarXiv:2608.22339v12026CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation
Yutong Xie, Jianpeng Zhang, Chunhua Shen +1
cs.CVarXiv:2103.03024v12021Leveraging Procedural Generation to Benchmark Reinforcement Learning
Karl Cobbe, Christopher Hesse, Jacob Hilton +1
cs.LGstat.MLarXiv:1912.01588v22019Dual-Layer Agentic Memory with Fast Write Routing and Slow Consolidation
Wenzhi Li, Dong Nie, Rui Lan +6
cs.CLarXiv:2608.22215v12026Energy-Efficient Management of Data Center Resources for Cloud Computing: A Vision, Architectural Elements, and Open Challenges
Rajkumar Buyya, Anton Beloglazov, Jemal Abawajy
cs.DCarXiv:1006.0308v12010When Persona Simulations Are Informative: Graph-Structured Signals for Pluralistic Opinion Sensing
Taehyeon An, Jaehyeong Park, Donghyuk Shin
cs.AIcs.CYarXiv:2608.22438v12026Stroke3D: Lifting 2D strokes into rigged 3D model via latent diffusion models
Ruisi Zhao, Haoren Zheng, Zongxin Yang +2
cs.CVarXiv:2602.09713v22026The fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset, task and baselines
Jon Barker, Shinji Watanabe, Emmanuel Vincent +1
cs.SDcs.AIeess.ASarXiv:1803.10609v12018The nested Chinese restaurant process and Bayesian nonparametric inference of topic hierarchies
David M. Blei, Thomas L. Griffiths, Michael I. Jordan
stat.MLarXiv:0710.0845v32007Learning to Optimize: Training Deep Neural Networks for Wireless Resource Management
Haoran Sun, Xiangyi Chen, Qingjiang Shi +3
cs.ITeess.SParXiv:1705.09412v22017ModelScope Text-to-Video Technical Report
Jiuniu Wang, Hangjie Yuan, Dayou Chen +3
cs.CVcs.AIarXiv:2308.06571v12023Fidelity-Diversity-Consistency (FDC): Data Pruning for Remote Sensing Change Detection
Dongyao Zhu, Ranga Raju Vatsavai
cs.CVarXiv:2608.21754v12026Interpolating between Optimal Transport and MMD using Sinkhorn Divergences
Jean Feydy, Thibault Séjourné, François-Xavier Vialard +3
math.STarXiv:1810.08278v12018The Natural Selection of Bad Science
Paul E. Smaldino, Richard McElreath
physics.soc-phstat.AParXiv:1605.09511v12016Internalizing Meta-Experience into Memory for Guided Reinforcement Learning in Large Language Models
Shiting Huang, Zecheng Li, Yu Zeng +7
cs.LGcs.AIarXiv:2602.10224v12026Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks
Curtis G. Northcutt, Anish Athalye, Jonas Mueller
stat.MLcs.AIcs.LGarXiv:2103.14749v42021Emotion Intensity Matters: Generating Realistic Expressions in Virtual Humans with CVAEs
Vitor Miguel Xavier Peres, Lara Volpato, Gabriel Ferri Scnheider +1
cs.CVcs.GRarXiv:2608.21697v12026MetaphorStar: Image Metaphor Understanding and Reasoning with End-to-End Visual Reinforcement Learning
Chenhao Zhang, Yazhe Niu, Hongsheng Li
cs.CVcs.AIcs.CYarXiv:2602.10575v12026Deep Evidential Regression
Alexander Amini, Wilko Schwarting, Ava Soleimany +1
cs.LGcs.NEstat.MLarXiv:1910.02600v22019Think Longer to Explore Deeper: Learn to Explore In-Context via Length-Incentivized Reinforcement Learning
Futing Wang, Jianhao Yan, Yun Luo +6
cs.CLarXiv:2602.11748v12026Online Causal Kalman Filtering for Stable and Effective Policy Optimization
Shuo He, Lang Feng, Xin Cheng +2
cs.CLcs.AIarXiv:2602.10609v22026How Architecture and Training Affect TPC Representations Across Experiments
Tyler Wheeler, Michelle P. Kuchera, Raghuram Ramanujan +11
cs.LGcs.CVnucl-exarXiv:2608.21756v12026DataChef: Cooking Up Optimal Data Recipes for LLM Adaptation via Reinforcement Learning
Yicheng Chen, Zerun Ma, Xinchen Xie +2
cs.CLcs.AIarXiv:2602.11089v22026Implicit Quantile Networks for Distributional Reinforcement Learning
Will Dabney, Georg Ostrovski, David Silver +1
cs.LGcs.AIstat.MLarXiv:1806.06923v12018CASA, the Common Astronomy Software Applications for Radio Astronomy
THE CASA TEAM, Ben Bean, Sanjay Bhatnagar +46
astro-ph.IMastro-ph.GAastro-ph.HEarXiv:2210.02276v12022Detecting RLVR Training Data via Structural Convergence of Reasoning
Hongbo Zhang, Yue Yang, Jianhao Yan +3
cs.AIcs.CLarXiv:2602.11792v12026Face Detection with the Faster R-CNN
Huaizu Jiang, Erik Learned-Miller
cs.CVarXiv:1606.03473v12016Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence
Chi Sun, Luyao Huang, Xipeng Qiu
cs.CLarXiv:1903.09588v12019DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulation
Mike Lambeta, Po-Wei Chou, Stephen Tian +9
cs.ROcs.LGeess.SYarXiv:2005.14679v12020DHPLT: large-scale multilingual diachronic corpora and word representations for semantic change modelling
Mariia Fedorova, Andrey Kutuzov, Khonzoda Umarova
cs.CLarXiv:2602.11968v12026Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement
Yuanhao Cai, Hao Bian, Jing Lin +3
cs.CVarXiv:2303.06705v32023