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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117,181 to 117,240 of 117,674

Learning to Segment Object Candidates
Pedro O. Pinheiro, Ronan Collobert, Piotr Dollar
cs.CVarXiv:1506.06204v22015
Simplified Cross-Modal Calibration for Heterogeneous Event-RGB Stereo Systems
Nico Hessenthaler, Adam T. Müller, Nicolaj C. Stache
cs.CVarXiv:2608.22965v12026
Beyond the Harness: End-to-End Optimization of Context Artifacts for Enterprise Text-to-SQL
Kate Gwimm, Carson Eisenach
cs.AIcs.LGarXiv:2608.22830v12026
Towards Simulating Social Media Users with LLMs: Evaluating the Operational Validity of Conditioned Comment Prediction
Nils Schwager, Simon Münker, Alistair Plum +1
cs.CLcs.AIarXiv:2602.22752v12026
V-Bridge: Bridging Video Generative Priors to Versatile Few-shot Image Restoration
Shenghe Zheng, Junpeng Jiang, Wenbo Li
cs.CVarXiv:2603.13089v12026
OpenTinker: Separating Concerns in Agentic Reinforcement Learning
Siqi Zhu, Jiaxuan You
cs.AIcs.DCarXiv:2601.07376v22026
MACRO: Advancing Multi-Reference Image Generation with Structured Long-Context Data
Zhekai Chen, Yuqing Wang, Manyuan Zhang +1
cs.CVarXiv:2603.25319v12026
EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention
Xinyu Liu, Houwen Peng, Ningxin Zheng +3
cs.CVarXiv:2305.07027v12023
Automatic segmentation of MR brain images with a convolutional neural network
Pim Moeskops, Max A. Viergever, Adriënne M. Mendrik +3
cs.CVarXiv:1704.03295v12017
Spiking Neural Networks for Continuous Control: Neuromorphic Reinforcement Learning in Conventional Computing
Jessica Hunter, Md Maruf Hossain Shuvo, Krishna Roy
cs.LGcs.NEarXiv:2608.22729v12026
Learning to Commit: Generating Organic Pull Requests via Online Repository Memory
Mo Li, L. H. Xu, Qitai Tan +2
cs.SEcs.CLarXiv:2603.26664v12026
The Script is All You Need: An Agentic Framework for Long-Horizon Dialogue-to-Cinematic Video Generation
Chenyu Mu, Xin He, Qu Yang +13
cs.CVcs.AIarXiv:2601.17737v32026
Expectations and Practices around AI Disclosure in CS Research
Arati Mohapatra, Danish Pruthi
cs.CYcs.CLcs.HCarXiv:2608.23271v12026
Robust dynamic classes revealed by measuring the response function of a social system
R. Crane, D. Sornette
physics.soc-phphysics.data-anphysics.pop-pharXiv:0803.2189v12008
CogVLM: Visual Expert for Pretrained Language Models
Weihan Wang, Qingsong Lv, Wenmeng Yu +13
cs.CVarXiv:2311.03079v22023
The All-Sky Automated Survey for Supernovae (ASAS-SN) Light Curve Server v1.0
C. S. Kochanek, B. J. Shappee, K. Z. Stanek +9
astro-ph.SRastro-ph.IMarXiv:1706.07060v12017
Transformers learn in-context by gradient descent
Johannes von Oswald, Eyvind Niklasson, Ettore Randazzo +4
cs.LGcs.AIcs.CLarXiv:2212.07677v22022
Token Reduction via Local and Global Contexts Optimization for Efficient Video Large Language Models
Jinlong Li, Liyuan Jiang, Haonan Zhang +1
cs.CVarXiv:2603.01400v22026
Beyond chlorophyll: machine learning estimates of diagnostic phytoplankton pigments from multispectral ocean colour data
David Moffat, Angus Laurenson, Victor Martinez-Vicente +4
q-bio.OTcs.LGphysics.opticsarXiv:2608.23348v12026
The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs
Han Liu, John Lafferty, Larry Wasserman
stat.MLarXiv:0903.0649v12009
Time Series Data Augmentation for Deep Learning: A Survey
Qingsong Wen, Liang Sun, Fan Yang +4
cs.LGeess.SPstat.MLarXiv:2002.12478v42020
Object Hallucination in Image Captioning
Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns +2
cs.CLcs.CVarXiv:1809.02156v22018
Praxy Voice: Voice-Prompt Recovery + BUPS for Commercial-Class Indic TTS from a Frozen Non-Indic Base at Zero Commercial-Training-Data Cost
Venkata Pushpak Teja Menta
cs.SDcs.CLeess.ASarXiv:2604.25441v12026
Table-as-Search: Formulate Long-Horizon Agentic Information Seeking as Table Completion
Tian Lan, Felix Henry, Bin Zhu +7
cs.CLarXiv:2602.06724v12026
Computer Environments Elicit General Agentic Intelligence in LLMs
Daixuan Cheng, Shaohan Huang, Yuxian Gu +6
cs.CLcs.AIarXiv:2601.16206v32026
Decision-Support and Modeling with Large Language Models for Geothermal Well Arrays
Edwin Ouko, Emmanuel Lujan, Alan Edelman +1
cs.AIcs.CEarXiv:2608.22068v12026
SAMBLASTER: fast duplicate marking and structural variant read extraction
Gregory G. Faust, Ira M. Hall
q-bio.GNarXiv:1403.7486v12014
AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models
Xiaogeng Liu, Nan Xu, Muhao Chen +1
cs.CLcs.AIarXiv:2310.04451v22023
CarePilot: A Multi-Agent Framework for Long-Horizon Computer Task Automation in Healthcare
Akash Ghosh, Tajamul Ashraf, Rishu Kumar Singh +4
cs.CVarXiv:2603.24157v12026
An Open-Source Pseudo-Spectral Solver for Idealized Korteweg-de Vries Soliton Simulations
Dasapta E. Irawan, Sandy H. S. Herho, Faruq Khadami +5
nlin.PSmath.NAphysics.ao-pharXiv:2601.12029v32026
Fog Computing: A Taxonomy, Survey and Future Directions
Redowan Mahmud, Ramamohanarao Kotagiri, Rajkumar Buyya
cs.DCarXiv:1611.05539v42016
CondConv: Conditionally Parameterized Convolutions for Efficient Inference
Brandon Yang, Gabriel Bender, Quoc V. Le +1
cs.CVcs.AIcs.LGarXiv:1904.04971v32019
PRBench: End-to-end Paper Reproduction in Physics Research
Shi Qiu, Junyi Deng, Yiwei Deng +48
cs.CLhep-lathep-pharXiv:2603.27646v12026
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
Xiaohan Ding, Yuchen Guo, Guiguang Ding +1
cs.CVcs.LGcs.NEarXiv:1908.03930v32019
Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
Diego Marcheggiani, Ivan Titov
cs.CLcs.LGarXiv:1703.04826v42017
MOT20: A benchmark for multi object tracking in crowded scenes
Patrick Dendorfer, Hamid Rezatofighi, Anton Milan +6
cs.CVarXiv:2003.09003v12020
YOLOE-26: Integrating YOLO26 with YOLOE for Real-Time Open-Vocabulary Instance Segmentation
Ranjan Sapkota, Manoj Karkee
cs.CVarXiv:2602.00168v12026
BlazePose: On-device Real-time Body Pose tracking
Valentin Bazarevsky, Ivan Grishchenko, Karthik Raveendran +3
cs.CVarXiv:2006.10204v12020
P-GenRM: Personalized Generative Reward Model with Test-time User-based Scaling
Pinyi Zhang, Ting-En Lin, Yuchuan Wu +7
cs.CLarXiv:2602.12116v12026
Confident and Wrong: Silent Semantic Failures in Coding Agents
Aman Mehta
cs.SEcs.AIarXiv:2603.25764v32026
TerraScope: Pixel-Grounded Visual Reasoning for Earth Observation
Yan Shu, Bin Ren, Zhitong Xiong +4
cs.CVarXiv:2603.19039v12026
Analysing high-throughput sequencing data in Python with HTSeq 2.0
Givanna H Putri, Simon Anders, Paul Theodor Pyl +2
q-bio.GNq-bio.QMarXiv:2112.00939v12021
A Systematic Evaluation of Large Language Models of Code
Frank F. Xu, Uri Alon, Graham Neubig +1
cs.PLcs.CLarXiv:2202.13169v32022
Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection
Max A Little, Patrick E McSharry, Stephen J Roberts +2
nlin.CGnlin.CDarXiv:0707.0086v12007
Detection and Resolution of Rumours in Social Media: A Survey
Arkaitz Zubiaga, Ahmet Aker, Kalina Bontcheva +2
cs.CLcs.HCcs.IRarXiv:1704.00656v32017
MegaFlow: Large-Scale Distributed Orchestration System for the Agentic Era
Lei Zhang, Mouxiang Chen, Ruisheng Cao +16
cs.DCcs.SEarXiv:2601.07526v22026
Iterative Bregman Projections for Regularized Transportation Problems
Jean-David Benamou, Guillaume Carlier, Marco Cuturi +2
math.NAmath.AParXiv:1412.5154v12014
TextBoxes: A Fast Text Detector with a Single Deep Neural Network
Minghui Liao, Baoguang Shi, Xiang Bai +2
cs.CVarXiv:1611.06779v12016
New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution
Firuz Kamalov, David Santandreu Calong, Ikhlaas Gurrib
cs.CYarXiv:2305.18303v22023
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
Maziar Raissi
stat.MLcs.LGmath.AParXiv:1801.06637v12018
PyOD: A Python Toolbox for Scalable Outlier Detection
Yue Zhao, Zain Nasrullah, Zheng Li
cs.LGcs.IRstat.MLarXiv:1901.01588v22019
InterPrior: Scaling Generative Control for Physics-Based Human-Object Interactions
Sirui Xu, Samuel Schulter, Morteza Ziyadi +4
cs.CVcs.GRcs.ROarXiv:2602.06035v12026
SWE-Universe: Scale Real-World Verifiable Environments to Millions
Mouxiang Chen, Lei Zhang, Yunlong Feng +15
cs.SEcs.AIarXiv:2602.02361v12026
Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models
Binghai Wang, Yantao Liu, Yuxuan Liu +13
cs.CLarXiv:2602.04649v12026
Segmentation-Based Deep-Learning Approach for Surface-Defect Detection
Domen Tabernik, Samo Šela, Jure Skvarč +1
cs.CVarXiv:1903.08536v32019
CreativeBench: Benchmarking and Enhancing Machine Creativity via Self-Evolving Challenges
Zi-Han Wang, Lam Nguyen, Zhengyang Zhao +4
cs.AIcs.CLarXiv:2603.11863v22026
End-to-end Training for Whole Image Breast Cancer Diagnosis using An All Convolutional Design
Li Shen
cs.CVarXiv:1711.05775v12017
Deep Convolutional Inverse Graphics Network
Tejas D. Kulkarni, Will Whitney, Pushmeet Kohli +1
cs.CVcs.GRcs.LGarXiv:1503.03167v42015
Demo-ICL: In-Context Learning for Procedural Video Knowledge Acquisition
Yuhao Dong, Shulin Tian, Shuai Liu +6
cs.CVarXiv:2602.08439v12026
MMOU: A Massive Multi-Task Omni Understanding and Reasoning Benchmark for Long and Complex Real-World Videos
Arushi Goel, Sreyan Ghosh, Vatsal Agarwal +16
cs.CLcs.CVarXiv:2603.14145v22026

Every paper with a summary

Learning to Segment Object Candidates

Simplified Cross-Modal Calibration for Heterogeneous Event-RGB Stereo Systems

Beyond the Harness: End-to-End Optimization of Context Artifacts for Enterprise Text-to-SQL

Towards Simulating Social Media Users with LLMs: Evaluating the Operational Validity of Conditioned Comment Prediction

V-Bridge: Bridging Video Generative Priors to Versatile Few-shot Image Restoration

OpenTinker: Separating Concerns in Agentic Reinforcement Learning

MACRO: Advancing Multi-Reference Image Generation with Structured Long-Context Data

EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention

Automatic segmentation of MR brain images with a convolutional neural network

Spiking Neural Networks for Continuous Control: Neuromorphic Reinforcement Learning in Conventional Computing

Learning to Commit: Generating Organic Pull Requests via Online Repository Memory

The Script is All You Need: An Agentic Framework for Long-Horizon Dialogue-to-Cinematic Video Generation

Expectations and Practices around AI Disclosure in CS Research

Robust dynamic classes revealed by measuring the response function of a social system

CogVLM: Visual Expert for Pretrained Language Models

The All-Sky Automated Survey for Supernovae (ASAS-SN) Light Curve Server v1.0

Transformers learn in-context by gradient descent

Token Reduction via Local and Global Contexts Optimization for Efficient Video Large Language Models

Beyond chlorophyll: machine learning estimates of diagnostic phytoplankton pigments from multispectral ocean colour data

The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs

Time Series Data Augmentation for Deep Learning: A Survey

Object Hallucination in Image Captioning

Praxy Voice: Voice-Prompt Recovery + BUPS for Commercial-Class Indic TTS from a Frozen Non-Indic Base at Zero Commercial-Training-Data Cost

Table-as-Search: Formulate Long-Horizon Agentic Information Seeking as Table Completion

Computer Environments Elicit General Agentic Intelligence in LLMs

Decision-Support and Modeling with Large Language Models for Geothermal Well Arrays

SAMBLASTER: fast duplicate marking and structural variant read extraction

AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models

CarePilot: A Multi-Agent Framework for Long-Horizon Computer Task Automation in Healthcare

An Open-Source Pseudo-Spectral Solver for Idealized Korteweg-de Vries Soliton Simulations

Fog Computing: A Taxonomy, Survey and Future Directions

CondConv: Conditionally Parameterized Convolutions for Efficient Inference

PRBench: End-to-end Paper Reproduction in Physics Research

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling

MOT20: A benchmark for multi object tracking in crowded scenes

YOLOE-26: Integrating YOLO26 with YOLOE for Real-Time Open-Vocabulary Instance Segmentation

BlazePose: On-device Real-time Body Pose tracking

P-GenRM: Personalized Generative Reward Model with Test-time User-based Scaling

Confident and Wrong: Silent Semantic Failures in Coding Agents

TerraScope: Pixel-Grounded Visual Reasoning for Earth Observation

Analysing high-throughput sequencing data in Python with HTSeq 2.0

A Systematic Evaluation of Large Language Models of Code

Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection

Detection and Resolution of Rumours in Social Media: A Survey

MegaFlow: Large-Scale Distributed Orchestration System for the Agentic Era

Iterative Bregman Projections for Regularized Transportation Problems

TextBoxes: A Fast Text Detector with a Single Deep Neural Network

New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

PyOD: A Python Toolbox for Scalable Outlier Detection

InterPrior: Scaling Generative Control for Physics-Based Human-Object Interactions

SWE-Universe: Scale Real-World Verifiable Environments to Millions

Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models

Segmentation-Based Deep-Learning Approach for Surface-Defect Detection

CreativeBench: Benchmarking and Enhancing Machine Creativity via Self-Evolving Challenges

End-to-end Training for Whole Image Breast Cancer Diagnosis using An All Convolutional Design

Deep Convolutional Inverse Graphics Network

Demo-ICL: In-Context Learning for Procedural Video Knowledge Acquisition

MMOU: A Massive Multi-Task Omni Understanding and Reasoning Benchmark for Long and Complex Real-World Videos