Every paper with a summary
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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56,941 to 57,000 of 61,200
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders
Sanghyun Woo, Shoubhik Debnath, Ronghang Hu +4
cs.CVarXiv:2301.00808v12023Understanding Neural Networks Through Deep Visualization
Jason Yosinski, Jeff Clune, Anh Nguyen +2
cs.CVcs.LGcs.NEarXiv:1506.06579v12015GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
Yue Cao, Jiarui Xu, Stephen Lin +2
cs.CVcs.AIcs.LGarXiv:1904.11492v12019The COVID-19 Social Media Infodemic
Matteo Cinelli, Walter Quattrociocchi, Alessandro Galeazzi +6
cs.SInlin.AOphysics.soc-pharXiv:2003.05004v12020From Local to Global: A Graph RAG Approach to Query-Focused Summarization
Darren Edge, Ha Trinh, Newman Cheng +7
cs.CLcs.AIcs.IRarXiv:2404.16130v22024OpenNMT: Open-source Toolkit for Neural Machine Translation
Guillaume Klein, Yoon Kim, Yuntian Deng +3
cs.CLarXiv:1709.03815v12017BLEURT: Learning Robust Metrics for Text Generation
Thibault Sellam, Dipanjan Das, Ankur P. Parikh
cs.CLarXiv:2004.04696v52020Constrained Policy Optimization
Joshua Achiam, David Held, Aviv Tamar +1
cs.LGarXiv:1705.10528v12017Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
Gautier Izacard, Edouard Grave
cs.CLcs.LGarXiv:2007.01282v22020Deep Recurrent Q-Learning for Partially Observable MDPs
Matthew Hausknecht, Peter Stone
cs.LGarXiv:1507.06527v42015Calibrate Before Use: Improving Few-Shot Performance of Language Models
Tony Z. Zhao, Eric Wallace, Shi Feng +2
cs.CLcs.LGarXiv:2102.09690v22021HyperNetworks
David Ha, Andrew Dai, Quoc V. Le
cs.LGarXiv:1609.09106v42016What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams
Di Jin, Eileen Pan, Nassim Oufattole +3
cs.CLcs.AIarXiv:2009.13081v12020List Decoding of Polar Codes
Ido Tal, Alexander Vardy
cs.ITarXiv:1206.0050v12012BERT Rediscovers the Classical NLP Pipeline
Ian Tenney, Dipanjan Das, Ellie Pavlick
cs.CLarXiv:1905.05950v22019Named Entity Recognition with Bidirectional LSTM-CNNs
Jason P. C. Chiu, Eric Nichols
cs.CLcs.LGcs.NEarXiv:1511.08308v52015LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
Naman Jain, King Han, Alex Gu +7
cs.SEcs.CLcs.LGarXiv:2403.07974v22024FFA-Net: Feature Fusion Attention Network for Single Image Dehazing
Xu Qin, Zhilin Wang, Yuanchao Bai +2
cs.CVarXiv:1911.07559v22019AutoAugment: Learning Augmentation Policies from Data
Ekin D. Cubuk, Barret Zoph, Dandelion Mane +2
cs.CVcs.LGstat.MLarXiv:1805.09501v32018Segmenter: Transformer for Semantic Segmentation
Robin Strudel, Ricardo Garcia, Ivan Laptev +1
cs.CVcs.AIcs.LGarXiv:2105.05633v32021Kvasir-SEG: A Segmented Polyp Dataset
Debesh Jha, Pia H. Smedsrud, Michael A. Riegler +4
eess.IVcs.CVarXiv:1911.07069v12019Counterfactual Fairness
Matt J. Kusner, Joshua R. Loftus, Chris Russell +1
stat.MLcs.CYcs.LGarXiv:1703.06856v32017Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming
Saeed Ghadimi, Guanghui Lan
math.OCcs.CCstat.MLarXiv:1309.5549v12013Attention is not Explanation
Sarthak Jain, Byron C. Wallace
cs.CLcs.AIarXiv:1902.10186v32019Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster, Yannis M. Assael, Nando de Freitas +1
cs.AIcs.LGcs.MAarXiv:1605.06676v22016A Primer in BERTology: What we know about how BERT works
Anna Rogers, Olga Kovaleva, Anna Rumshisky
cs.CLarXiv:2002.12327v32020CatBoost: gradient boosting with categorical features support
Anna Veronika Dorogush, Vasily Ershov, Andrey Gulin
cs.LGcs.MSstat.MLarXiv:1810.11363v12018Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing
Zhi Zhou, Xu Chen, En Li +3
cs.DCcs.AIcs.NIarXiv:1905.10083v12019Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti, Davide Boscaini, Jonathan Masci +3
cs.CVarXiv:1611.08402v32016Delving into Transferable Adversarial Examples and Black-box Attacks
Yanpei Liu, Xinyun Chen, Chang Liu +1
cs.LGarXiv:1611.02770v32016CURV: Enhancing Chart Understanding Through Curriculum Visual Grounded Reasoning
Xuehang Guo, Pingyue Zhang, Ruiyi Zhang +6
cs.CVcs.AIcs.CLarXiv:2608.02833v12026AMASS: Archive of Motion Capture as Surface Shapes
Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje +2
cs.CVcs.GRarXiv:1904.03278v12019MLREF: Efficient Module Reuse for Reward Design in Reinforcement Learning via Large Language Models
Chenglin Liu, Xun Wang, Ruishuo Chen +2
cs.LGcs.AIcs.CLarXiv:2608.18827v12026Searching for Better Plasmonic Materials
Paul West, Satoshi Ishii, Gururaj Naik +3
physics.opticsarXiv:0911.2737v42009EDITBRIDGE: Towards Faithful and Efficient Ultra-High-Resolution Image Editing
Jiayi Song, Shijie Huang, Fangtai Wu +5
cs.CVarXiv:2608.18063v12026HarnessRisk: A Lifecycle-Oriented Benchmark for Agent Harness Safety
Yajing Bai, Jinhao Duan, Jie Peng +4
cs.CRcs.AIarXiv:2608.17597v12026OSReward: Instituting Standardized Evaluation for Cross-Platform Computer-Use Reward Models
Qiushi Sun, Kanzhi Cheng, Yian Wang +20
cs.AIcs.CLcs.CVarXiv:2607.28609v22026GALA: Generation-Aware Cross-Modal Alignment for Text-to-Time-Series Synthesis
Haochen Zhang, Gengwei Zhang, Laura Yao +2
cs.CLcs.LGarXiv:2608.13741v12026Towards Diverse Scientific Hypothesis Search with Large Language Models
Haorui Wang, Parshin Shojaee, Kazem Meidani +7
cs.LGcs.AIarXiv:2606.10587v12026Beacon: Knowing When and How to Perform Agentic Visual Reasoning
Qixun Wang, Yang Shi, Letian Cheng +11
cs.CVarXiv:2607.28595v12026Environment-free Synthetic Data Generation for API-Calling Agents
Seanie Lee, Sanjoy Chowdhury, Chao Jiang +5
cs.AIarXiv:2607.16900v22026TriGlue: a Biology-Inspired Generative Model for Generating Molecular Glue-Induced Ternary Complex
Yuliang Yan, Shuo Yan, Haochun Tang +2
cs.LGcs.AIarXiv:2607.22143v22026PolicyShiftGuard: Benchmarking and Improving Policy-Adaptive Image Guardrails
Mingyang Song, Luxin Xu, Haoyu Sun +3
cs.CVcs.AIcs.CLarXiv:2607.05910v12026Apple-$π$: Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence
Runmao Yao, Kairui Hu, Yukang Cao +11
cs.CVarXiv:2607.16401v12026MeanFlowNFT: Bringing Forward-Process RL to Average-Velocity Generators
Yushi Huang, Xiangxin Zhou, Jun Zhang +2
cs.CVcs.LGarXiv:2607.15273v22026Look Before You Leap: Distilling Tree Search into Action Evaluation for Frozen VLA Models
Xinyi Xie, Zican Hu, Zhanyu Liu +7
cs.ROarXiv:2607.03751v12026Bridging Interleaved Multi-Modal Reasoning as a Unified Decision Process
Zican Hu, Xuyang Hu, Yiming Liu +10
cs.AIarXiv:2607.03748v12026ENPIRE: Agentic Robot Policy Self-Improvement in the Real World
Wenli Xiao, Jia Xie, Tonghe Zhang +14
cs.AIarXiv:2606.19980v12026RefGC-SR$^2$: Reference-guided Super-Resolution and Refinement of AI Generated Content
Jeahun Sung, Dahyeon Kye, Soo Ye Kim +1
cs.CVarXiv:2606.15158v22026AutoLLMResearch: Training Research Agents for Automating LLM Experiment Configuration - Learning from Cheap, Optimizing Expensive
Taicheng Guo, Nitesh V. Chawla, Olaf Wiest +1
cs.AIcs.CLcs.LGarXiv:2605.11518v22026Benchmark Everything Everywhere All at Once
Shiyun Xiong, Dongming Wu, Peiwen Sun +5
cs.AIarXiv:2606.06462v12026Synchronization in complex networks
Alex Arenas, Albert Diaz-Guilera, Jurgen Kurths +2
physics.soc-pharXiv:0805.2976v32008DV-World: Benchmarking Data Visualization Agents in Real-World Scenarios
Jinxiang Meng, Shaoping Huang, Fangyu Lei +17
cs.CLarXiv:2604.25914v12026Rethinking Muon Beyond Pretraining: Spectral Failures and High-Pass Remedies for VLA and RLVR
Chongyu Fan, Gaowen Liu, Mingyi Hong +2
cs.LGarXiv:2605.19282v12026$π$-Bench: Evaluating Proactive Personal Assistant Agents in Long-Horizon Workflows
Haoran Zhang, Luxin Xu, Zhilin Wang +11
cs.AIarXiv:2605.14678v32026MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation
Yujie Wei, Yujin Han, Zhekai Chen +20
cs.CVarXiv:2605.20183v42026Continual Harness: Online Adaptation for Self-Improving Foundation Agents
Seth Karten, Joel Zhang, Tersoo Upaa +5
cs.LGcs.AIarXiv:2605.09998v12026Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key
Tianle Wang, Zhaoyang Wang, Guangchen Lan +4
cs.AIcs.CLarXiv:2605.06638v32026Prompt-Activation Duality: Improving Activation Steering via Attention-Level Interventions
Diancheng Kang, Zheyuan Liu, Ningshan Ma +3
cs.CLcs.AIarXiv:2605.10664v22026A Tutorial on Regularized Partial Correlation Networks
Sacha Epskamp, Eiko I. Fried
stat.APstat.MEarXiv:1607.01367v92016