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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60,181 to 60,240 of 117,332

Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks
Cheng Yang, Xuemeng Yang, Licheng Wen +9
cs.CLcs.AIarXiv:2510.08002v12025
Chromosome-scale shotgun assembly using an in vitro method for long-range linkage
Nicholas H. Putnam, Brendan O'Connell, Jonathan C. Stites +7
q-bio.GNq-bio.BMarXiv:1502.05331v12015
Learnable Manifold Alignment (LeMA) : A Semi-supervised Cross-modality Learning Framework for Land Cover and Land Use Classification
Danfeng Hong, Naoto Yokoya, Nan Ge +2
cs.CVarXiv:1901.02838v12019
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
Jun Ma, Yao Zhang, Song Gu +14
cs.CVarXiv:2010.14808v22020
Your RAG is Unfair: Exposing Fairness Vulnerabilities in Retrieval-Augmented Generation via Backdoor Attacks
Gaurav Bagwe, Saket S. Chaturvedi, Xiaolong Ma +3
cs.IRcs.CRarXiv:2509.22486v12025
Multiple-change-point detection for high dimensional time series via sparsified binary segmentation
Haeran Cho, Piotr Fryzlewicz
stat.MEarXiv:1611.08639v12016
Aerial Imagery Pile burn detection using Deep Learning: the FLAME dataset
Alireza Shamsoshoara, Fatemeh Afghah, Abolfazl Razi +3
cs.CVcs.AIcs.LGarXiv:2012.14036v12020
Decentralized LLM Inference over Edge Networks with Energy Harvesting
Aria Khoshsirat, Giovanni Perin, Michele Rossi
cs.DCarXiv:2408.15907v12024
General Methods for Digital Quantum Simulation of Gauge Theories
Henry Lamm, Scott Lawrence, Yukari Yamauchi
hep-latcond-mat.str-elnucl-tharXiv:1903.08807v32019
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka +1
cs.CLcs.AIarXiv:1611.01587v52016
The PGM-index: a multicriteria, compressed and learned approach to data indexing
Paolo Ferragina, Giorgio Vinciguerra
cs.DScs.DBcs.IRarXiv:1910.06169v12019
Privacy Against Statistical Inference
Flavio du Pin Calmon, Nadia Fawaz
cs.ITcs.CRarXiv:1210.2123v12012
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models
Yang Song, Liyue Shen, Lei Xing +1
eess.IVcs.CVcs.LGarXiv:2111.08005v22021
Multi-Message Private Information Retrieval: Capacity Results and Near-Optimal Schemes
Karim Banawan, Sennur Ulukus
cs.ITcs.CRcs.IRarXiv:1702.01739v12017
Self-Supervised Combinatorial Optimization with Constraints via Frank-Wolfe
Akbar Rafiey, Yifei Xu, Nikolaos Karalias
cs.LGcs.AIarXiv:2609.25728v12026
Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers
Ji Gao, Jack Lanchantin, Mary Lou Soffa +1
cs.CLcs.CRcs.IRarXiv:1801.04354v52018
Talk the Walk: Navigating New York City through Grounded Dialogue
Harm de Vries, Kurt Shuster, Dhruv Batra +3
cs.AIcs.CLcs.CVarXiv:1807.03367v32018
SHSP: Structure-Aware Hierarchical Solution Prediction for Mixed-Integer Linear Programming
Zherong Zhang, Guanlin Li, Chengrui Gao +5
cs.LGcs.AIarXiv:2608.25282v12026
Numerical methods for nonlocal and fractional models
Marta D'Elia, Qiang Du, Christian Glusa +3
math.NAmath.APmath.OCarXiv:2002.01401v22020
One View Is Enough! Monocular Training for In-the-Wild Novel View Generation
Adrien Ramanana Rahary, Nicolas Dufour, Patrick Perez +1
cs.CVarXiv:2603.23488v22026
Artificial Intelligence as a Tool for Combating Child Labour: A Real-Time Edge Vision Pipeline for Child Detection and Age Estimation
Mark Nowak
cs.CVcs.AIarXiv:2608.14770v12026
NEUZZ: Efficient Fuzzing with Neural Program Smoothing
Dongdong She, Kexin Pei, Dave Epstein +3
cs.CRcs.LGarXiv:1807.05620v42018
SPICE: Self-Play In Corpus Environments Improves Reasoning
Bo Liu, Chuanyang Jin, Seungone Kim +7
cs.CLarXiv:2510.24684v12025
On the Usability of Probably Approximately Correct Implication Bases
Daniel Borchmann, Tom Hanika, Sergei Obiedkov
cs.AIcs.LGcs.LOarXiv:1701.00877v22017
Trained Transformers Learn Linear Models In-Context
Ruiqi Zhang, Spencer Frei, Peter L. Bartlett
stat.MLcs.AIcs.CLarXiv:2306.09927v32023
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
Chunyuan Li, Hao Liu, Changyou Chen +4
stat.MLcs.AIcs.CVarXiv:1709.01215v22017
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation
Stephen James, Kentaro Wada, Tristan Laidlow +1
cs.ROcs.AIcs.CVarXiv:2106.12534v22021
Scaling up Differentially Private Deep Learning with Fast Per-Example Gradient Clipping
Jaewoo Lee, Daniel Kifer
cs.LGstat.MLarXiv:2009.03106v12020
Adaptive Strategies for GR(1) Games
S. Krishna, Kaushik Mallik, Abhilasha Sharma Suman
cs.LOcs.FLcs.GTarXiv:2608.28391v12026
ISTA-Net++: Flexible Deep Unfolding Network for Compressive Sensing
Di You, Jingfen Xie, Jian Zhang
cs.CVeess.IVarXiv:2103.11554v12021
SonarVoxNet: Diver Detection in 3D Bounding Box using 3D Sonar
Eugene Park, Jiwon Lee, Seyoung Kan +3
cs.ROarXiv:2610.01644v12026
Divergence-aware Federated Self-Supervised Learning
Weiming Zhuang, Yonggang Wen, Shuai Zhang
cs.LGcs.AIcs.CVarXiv:2204.04385v12022
SCATTER: Selective Context Attentional Scene Text Recognizer
Ron Litman, Oron Anschel, Shahar Tsiper +3
cs.CVarXiv:2003.11288v12020
Crop mapping from image time series: deep learning with multi-scale label hierarchies
Mehmet Ozgur Turkoglu, Stefano D'Aronco, Gregor Perich +4
cs.CVarXiv:2102.08820v22021
A survey of deep neural network watermarking techniques
Yue Li, Hongxia Wang, Mauro Barni
cs.CRarXiv:2103.09274v12021
Compositional Chain-of-Relations for Faithful Knowledge Graph Question Answering with Large Language Models
Chenhui Liu, Jianpeng Zhou, Jiahai Wang
cs.AIarXiv:2608.22762v12026
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models
Zhaopeng Gu, Bingke Zhu, Guibo Zhu +3
cs.CVarXiv:2308.15366v42023
iBOT: Image BERT Pre-Training with Online Tokenizer
Jinghao Zhou, Chen Wei, Huiyu Wang +4
cs.CVarXiv:2111.07832v32021
Understanding DeepResearch via Reports
Tianyu Fan, Xinyao Niu, Yuxiang Zheng +5
cs.AIarXiv:2510.07861v12025
Adversarial Texture for Fooling Person Detectors in the Physical World
Zhanhao Hu, Siyuan Huang, Xiaopei Zhu +3
cs.CVarXiv:2203.03373v42022
Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis
Tanujit Chakraborty, Indrajit Ghosh
stat.AParXiv:2004.09996v12020
FIRE5: a C++ implementation of Feynman Integral REduction
Alexander V. Smirnov
hep-pharXiv:1408.2372v22014
Knowledge-driven Encode, Retrieve, Paraphrase for Medical Image Report Generation
Christy Y. Li, Xiaodan Liang, Zhiting Hu +1
cs.CVarXiv:1903.10122v12019
Reinforced Continual Learning
Ju Xu, Zhanxing Zhu
cs.LGcs.CVstat.MLarXiv:1805.12369v12018
MesaTask: Towards Task-Driven Tabletop Scene Generation via 3D Spatial Reasoning
Jinkun Hao, Naifu Liang, Zhen Luo +8
cs.CVcs.ROarXiv:2509.22281v12025
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
Rosanne Liu, Joel Lehman, Piero Molino +4
cs.CVcs.LGstat.MLarXiv:1807.03247v22018
Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving
Hsu-kuang Chiu, Jie Li, Rares Ambrus +1
cs.CVcs.ROarXiv:2012.13755v22020
Nudging: Inference-time Alignment of LLMs via Guided Decoding
Yu Fei, Yasaman Razeghi, Sameer Singh
cs.CLcs.AIcs.LGarXiv:2410.09300v42024
RISE-Video: Can Video Generators Decode Implicit World Rules?
Mingxin Liu, Shuran Ma, Shibei Meng +9
cs.CVcs.AIarXiv:2602.05986v12026
Jointly Localizing and Describing Events for Dense Video Captioning
Yehao Li, Ting Yao, Yingwei Pan +2
cs.CVarXiv:1804.08274v12018
Deeply-Supervised Nets
Chen-Yu Lee, Saining Xie, Patrick Gallagher +2
stat.MLcs.CVcs.LGarXiv:1409.5185v22014
Switching Linear Attention
Hyun Dong Lee, Xavier Gonzalez, Nicolas Zucchet +3
cs.LGcs.AIcs.CLarXiv:2609.39034v12026
Cross-Modal Emotion Transfer for Emotion Editing in Talking Face Video
Chanhyuk Choi, Taesoo Kim, Donggyu Lee +2
cs.CVcs.LGarXiv:2604.07786v22026
Code Generation as a Dual Task of Code Summarization
Bolin Wei, Ge Li, Xin Xia +2
cs.LGcs.AIcs.SEarXiv:1910.05923v12019
Game Theory for Multi-Access Edge Computing: Survey, Use Cases, and Future Trends
Jose Moura, David Hutchison
cs.GTcs.NIarXiv:1704.00323v62017
Implementing the Quantum von Neumann Architecture with Superconducting Circuits
Matteo Mariantoni, H. Wang, T. Yamamoto +14
cond-mat.mes-hallphysics.atom-phquant-pharXiv:1109.3743v12011
Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition
Vincent Dorie, Jennifer Hill, Uri Shalit +2
stat.MEstat.MLarXiv:1707.02641v52017
Sample eigenvalue based detection of high dimensional signals in white noise using relatively few samples
N. Raj Rao, Alan Edelman
math.STarXiv:0705.2605v12007
Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation
Nils Reimers, Iryna Gurevych
cs.CLarXiv:2004.09813v22020
Comparison of Pedestrian Fundamental Diagram Across Cultures
Ujjal Chattaraj, Armin Seyfried, Partha Chakroborty
physics.soc-pharXiv:0903.0149v12009

Every paper with a summary

Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks

Chromosome-scale shotgun assembly using an in vitro method for long-range linkage

Learnable Manifold Alignment (LeMA) : A Semi-supervised Cross-modality Learning Framework for Land Cover and Land Use Classification

AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?

Your RAG is Unfair: Exposing Fairness Vulnerabilities in Retrieval-Augmented Generation via Backdoor Attacks

Multiple-change-point detection for high dimensional time series via sparsified binary segmentation

Aerial Imagery Pile burn detection using Deep Learning: the FLAME dataset

Decentralized LLM Inference over Edge Networks with Energy Harvesting

General Methods for Digital Quantum Simulation of Gauge Theories

A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks

The PGM-index: a multicriteria, compressed and learned approach to data indexing

Privacy Against Statistical Inference

Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Multi-Message Private Information Retrieval: Capacity Results and Near-Optimal Schemes

Self-Supervised Combinatorial Optimization with Constraints via Frank-Wolfe

Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers

Talk the Walk: Navigating New York City through Grounded Dialogue

SHSP: Structure-Aware Hierarchical Solution Prediction for Mixed-Integer Linear Programming

Numerical methods for nonlocal and fractional models

One View Is Enough! Monocular Training for In-the-Wild Novel View Generation

Artificial Intelligence as a Tool for Combating Child Labour: A Real-Time Edge Vision Pipeline for Child Detection and Age Estimation

NEUZZ: Efficient Fuzzing with Neural Program Smoothing

SPICE: Self-Play In Corpus Environments Improves Reasoning

On the Usability of Probably Approximately Correct Implication Bases

Trained Transformers Learn Linear Models In-Context

ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation

Scaling up Differentially Private Deep Learning with Fast Per-Example Gradient Clipping

Adaptive Strategies for GR(1) Games

ISTA-Net++: Flexible Deep Unfolding Network for Compressive Sensing

SonarVoxNet: Diver Detection in 3D Bounding Box using 3D Sonar

Divergence-aware Federated Self-Supervised Learning

SCATTER: Selective Context Attentional Scene Text Recognizer

Crop mapping from image time series: deep learning with multi-scale label hierarchies

A survey of deep neural network watermarking techniques

Compositional Chain-of-Relations for Faithful Knowledge Graph Question Answering with Large Language Models

AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models

iBOT: Image BERT Pre-Training with Online Tokenizer

Understanding DeepResearch via Reports

Adversarial Texture for Fooling Person Detectors in the Physical World

Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis

FIRE5: a C++ implementation of Feynman Integral REduction

Knowledge-driven Encode, Retrieve, Paraphrase for Medical Image Report Generation

Reinforced Continual Learning

MesaTask: Towards Task-Driven Tabletop Scene Generation via 3D Spatial Reasoning

An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving

Nudging: Inference-time Alignment of LLMs via Guided Decoding

RISE-Video: Can Video Generators Decode Implicit World Rules?

Jointly Localizing and Describing Events for Dense Video Captioning

Deeply-Supervised Nets

Switching Linear Attention

Cross-Modal Emotion Transfer for Emotion Editing in Talking Face Video

Code Generation as a Dual Task of Code Summarization

Game Theory for Multi-Access Edge Computing: Survey, Use Cases, and Future Trends

Implementing the Quantum von Neumann Architecture with Superconducting Circuits

Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition

Sample eigenvalue based detection of high dimensional signals in white noise using relatively few samples

Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation

Comparison of Pedestrian Fundamental Diagram Across Cultures