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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57,001 to 57,060 of 61,217

Apple-$π$: Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence
Runmao Yao, Kairui Hu, Yukang Cao +11
cs.CVarXiv:2607.16401v12026
MeanFlowNFT: Bringing Forward-Process RL to Average-Velocity Generators
Yushi Huang, Xiangxin Zhou, Jun Zhang +2
cs.CVcs.LGarXiv:2607.15273v22026
Look Before You Leap: Distilling Tree Search into Action Evaluation for Frozen VLA Models
Xinyi Xie, Zican Hu, Zhanyu Liu +7
cs.ROarXiv:2607.03751v12026
Bridging Interleaved Multi-Modal Reasoning as a Unified Decision Process
Zican Hu, Xuyang Hu, Yiming Liu +10
cs.AIarXiv:2607.03748v12026
ENPIRE: Agentic Robot Policy Self-Improvement in the Real World
Wenli Xiao, Jia Xie, Tonghe Zhang +14
cs.AIarXiv:2606.19980v12026
RefGC-SR$^2$: Reference-guided Super-Resolution and Refinement of AI Generated Content
Jeahun Sung, Dahyeon Kye, Soo Ye Kim +1
cs.CVarXiv:2606.15158v22026
AutoLLMResearch: 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:2605.11518v22026
Benchmark Everything Everywhere All at Once
Shiyun Xiong, Dongming Wu, Peiwen Sun +5
cs.AIarXiv:2606.06462v12026
Synchronization in complex networks
Alex Arenas, Albert Diaz-Guilera, Jurgen Kurths +2
physics.soc-pharXiv:0805.2976v32008
DV-World: Benchmarking Data Visualization Agents in Real-World Scenarios
Jinxiang Meng, Shaoping Huang, Fangyu Lei +17
cs.CLarXiv:2604.25914v12026
Rethinking 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:2605.14678v32026
MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation
Yujie Wei, Yujin Han, Zhekai Chen +20
cs.CVarXiv:2605.20183v42026
Continual Harness: Online Adaptation for Self-Improving Foundation Agents
Seth Karten, Joel Zhang, Tersoo Upaa +5
cs.LGcs.AIarXiv:2605.09998v12026
Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key
Tianle Wang, Zhaoyang Wang, Guangchen Lan +4
cs.AIcs.CLarXiv:2605.06638v32026
Prompt-Activation Duality: Improving Activation Steering via Attention-Level Interventions
Diancheng Kang, Zheyuan Liu, Ningshan Ma +3
cs.CLcs.AIarXiv:2605.10664v22026
A Tutorial on Regularized Partial Correlation Networks
Sacha Epskamp, Eiko I. Fried
stat.APstat.MEarXiv:1607.01367v92016
Deep multi-scale video prediction beyond mean square error
Michael Mathieu, Camille Couprie, Yann LeCun
cs.LGcs.CVstat.MLarXiv:1511.05440v62015
Ego4D: Around the World in 3,000 Hours of Egocentric Video
Kristen Grauman, Andrew Westbury, Eugene Byrne +82
cs.CVcs.AIarXiv:2110.07058v32021
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
Tao Xu, Pengchuan Zhang, Qiuyuan Huang +4
cs.CVarXiv:1711.10485v12017
GLM: General Language Model Pretraining with Autoregressive Blank Infilling
Zhengxiao Du, Yujie Qian, Xiao Liu +4
cs.CLcs.AIcs.LGarXiv:2103.10360v22021
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
Longhui Wei, Shiliang Zhang, Wen Gao +1
cs.CVarXiv:1711.08565v22017
cuDNN: Efficient Primitives for Deep Learning
Sharan Chetlur, Cliff Woolley, Philippe Vandermersch +4
cs.NEcs.LGcs.MSarXiv:1410.0759v32014
The Rise and Potential of Large Language Model Based Agents: A Survey
Zhiheng Xi, Wenxiang Chen, Xin Guo +26
cs.AIcs.CLarXiv:2309.07864v32023
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Nicholas Carlini, David Wagner
cs.LGcs.CRcs.CVarXiv:1705.07263v22017
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection
Xiang Li, Wenhai Wang, Lijun Wu +5
cs.CVarXiv:2006.04388v12020
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives
Aaron Defazio, Francis Bach, Simon Lacoste-Julien
cs.LGmath.OCstat.MLarXiv:1407.0202v32014
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh, Albert Webson, Colin Raffel +38
cs.LGcs.CLarXiv:2110.08207v32021
Send a SCOUT First: Pre-hoc Reasoning for Adaptive Detector Allocation in Prompt-Injection Defense
Shuhao Zhang, Jiarui Li, Qi Cao +2
cs.CRcs.LGarXiv:2605.30837v22026
On Dynamic Mode Decomposition: Theory and Applications
Jonathan H. Tu, Clarence W. Rowley, Dirk M. Luchtenburg +2
math.NAphysics.flu-dynarXiv:1312.0041v12013
Natural Adversarial Examples
Dan Hendrycks, Kevin Zhao, Steven Basart +2
cs.LGcs.CVstat.MLarXiv:1907.07174v42019
Distilling LLM Feedback for Lean Theorem Proving
Gaetan Narozniak, Gérard Biau, Rémi Munos +2
cs.AIarXiv:2605.30861v12026
BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers
Zhiqi Li, Wenhai Wang, Hongyang Li +5
cs.CVarXiv:2203.17270v22022
Semi-Supervised Noise Adaptation: Transferring Knowledge from Noise Domain
Yuan Yao, Jin Song, Huixia Li +3
cs.LGarXiv:2606.00558v22026
Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks
Ioannis D. Apostolopoulos, Tzani Bessiana
eess.IVcs.CVcs.LGarXiv:2003.11617v12020
Representation over Routing: Diagnosing Temporal Routing Pathologies in Multi-Timescale PPO
Jing Sun
cs.LGcs.AIarXiv:2604.13517v42026
Confidence-Adaptive SwiGLU for Mixture-of-Experts
Shaohua Li, Xiuchao Sui, Xiaobing Sun +4
cs.LGcs.CLarXiv:2606.00761v12026
GMAN: A Graph Multi-Attention Network for Traffic Prediction
Chuanpan Zheng, Xiaoliang Fan, Cheng Wang +1
eess.SPcs.LGarXiv:1911.08415v22019
Ensemble deep learning: A review
M. A. Ganaie, Minghui Hu, A. K. Malik +2
cs.LGcs.AIcs.CVarXiv:2104.02395v32021
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
Yubo Wang, Xueguang Ma, Ge Zhang +14
cs.CLarXiv:2406.01574v62024
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey
Longlong Jing, Yingli Tian
cs.CVarXiv:1902.06162v12019
Constrained Consensus
Angelia Nedić, Asuman Ozdaglar, Pablo A. Parrilo
math.OCarXiv:0802.3922v22008
The Shape of Addition: Geometric Structures of Arithmetic in Large Language Models
Liuyuan Wen, Xun Zhu, Lihao Huang +2
cs.LGcs.AIarXiv:2606.03645v12026
Functional Attention: From Pairwise Affinities to Functional Correspondences
Jiefang Xiao, Maolin Gao, Simon Weber +2
cs.LGarXiv:2605.31559v12026
Honest Lying: Understanding Memory Confabulation in Reflexive Agents
Prakhar Dixit, Sadia Kamal, Tim Oates
cs.LGcs.AIarXiv:2605.29463v22026
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee +1
cs.CVarXiv:1711.02257v42017
PaintBench: Deterministic Evaluation of Precise Visual Editing
Kai Xu, Ellis Brown, Shrikar Madhu +3
cs.GRcs.CVcs.LGarXiv:2606.00188v12026
Relational Knowledge Distillation
Wonpyo Park, Dongju Kim, Yan Lu +1
cs.CVcs.LGarXiv:1904.05068v22019
SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D Scenes
Tianhui Liu, Jie Feng, Zhiheng Zheng +6
cs.CVcs.AIcs.CLarXiv:2605.31148v12026
Combinatorial Synthesis: Scaling Code RLVR via Atomic Decomposition and Recombination
Jiasheng Zheng, Boxi Cao, Boxi Yu +6
cs.CLcs.SEarXiv:2605.31058v12026
Stacked Attention Networks for Image Question Answering
Zichao Yang, Xiaodong He, Jianfeng Gao +2
cs.LGcs.CLcs.CVarXiv:1511.02274v22015
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
Shiyang Li, Xiaoyong Jin, Yao Xuan +4
cs.LGstat.MLarXiv:1907.00235v32019
Deep Mutual Learning
Ying Zhang, Tao Xiang, Timothy M. Hospedales +1
cs.CVarXiv:1706.00384v12017
DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor, Ivo Danihelka, Alex Graves +2
cs.CVcs.LGcs.NEarXiv:1502.04623v22015
Simple and Deep Graph Convolutional Networks
Ming Chen, Zhewei Wei, Zengfeng Huang +2
cs.LGstat.MLarXiv:2007.02133v12020
Tutorial on Variational Autoencoders
Carl Doersch
stat.MLcs.LGarXiv:1606.05908v32016
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner, Timothy Lillicrap, Ian Fischer +4
cs.LGcs.AIstat.MLarXiv:1811.04551v52018
OCC-RAG: Optimal Cognitive Core for Faithful Question Answering
Maksim Savkin, Mikhail Goncharov, Alexander Gambashidze +7
cs.CLarXiv:2606.00683v12026
A unified approach to mapping and clustering of bibliometric networks
Ludo Waltman, Nees Jan van Eck, Ed C. M. Noyons
cs.DLphysics.data-anphysics.soc-pharXiv:1006.1032v12010
Improving Variational Inference with Inverse Autoregressive Flow
Diederik P. Kingma, Tim Salimans, Rafal Jozefowicz +3
cs.LGstat.MLarXiv:1606.04934v22016

Every paper with a summary

Apple-$π$: Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence

MeanFlowNFT: Bringing Forward-Process RL to Average-Velocity Generators

Look Before You Leap: Distilling Tree Search into Action Evaluation for Frozen VLA Models

Bridging Interleaved Multi-Modal Reasoning as a Unified Decision Process

ENPIRE: Agentic Robot Policy Self-Improvement in the Real World

RefGC-SR$^2$: Reference-guided Super-Resolution and Refinement of AI Generated Content

AutoLLMResearch: Training Research Agents for Automating LLM Experiment Configuration - Learning from Cheap, Optimizing Expensive

Benchmark Everything Everywhere All at Once

Synchronization in complex networks

DV-World: Benchmarking Data Visualization Agents in Real-World Scenarios

Rethinking Muon Beyond Pretraining: Spectral Failures and High-Pass Remedies for VLA and RLVR

$π$-Bench: Evaluating Proactive Personal Assistant Agents in Long-Horizon Workflows

MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation

Continual Harness: Online Adaptation for Self-Improving Foundation Agents

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key

Prompt-Activation Duality: Improving Activation Steering via Attention-Level Interventions

A Tutorial on Regularized Partial Correlation Networks

Deep multi-scale video prediction beyond mean square error

Ego4D: Around the World in 3,000 Hours of Egocentric Video

AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Person Transfer GAN to Bridge Domain Gap for Person Re-Identification

cuDNN: Efficient Primitives for Deep Learning

The Rise and Potential of Large Language Model Based Agents: A Survey

Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection

SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives

Multitask Prompted Training Enables Zero-Shot Task Generalization

Send a SCOUT First: Pre-hoc Reasoning for Adaptive Detector Allocation in Prompt-Injection Defense

On Dynamic Mode Decomposition: Theory and Applications

Natural Adversarial Examples

Distilling LLM Feedback for Lean Theorem Proving

BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers

Semi-Supervised Noise Adaptation: Transferring Knowledge from Noise Domain

Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks

Representation over Routing: Diagnosing Temporal Routing Pathologies in Multi-Timescale PPO

Confidence-Adaptive SwiGLU for Mixture-of-Experts

GMAN: A Graph Multi-Attention Network for Traffic Prediction

Ensemble deep learning: A review

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey

Constrained Consensus

The Shape of Addition: Geometric Structures of Arithmetic in Large Language Models

Functional Attention: From Pairwise Affinities to Functional Correspondences

Honest Lying: Understanding Memory Confabulation in Reflexive Agents

GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks

PaintBench: Deterministic Evaluation of Precise Visual Editing

Relational Knowledge Distillation

SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D Scenes

Combinatorial Synthesis: Scaling Code RLVR via Atomic Decomposition and Recombination

Stacked Attention Networks for Image Question Answering

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting

Deep Mutual Learning

DRAW: A Recurrent Neural Network For Image Generation

Simple and Deep Graph Convolutional Networks

Tutorial on Variational Autoencoders

Learning Latent Dynamics for Planning from Pixels

OCC-RAG: Optimal Cognitive Core for Faithful Question Answering

A unified approach to mapping and clustering of bibliometric networks

Improving Variational Inference with Inverse Autoregressive Flow