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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121,261 to 121,320 of 121,481

European Union regulations on algorithmic decision-making and a "right to explanation"
Bryce Goodman, Seth Flaxman
stat.MLcs.CYcs.LGarXiv:1606.08813v32016
Robots Need More than VLA and World Models
Elis Karcini, Faisal Mehrban, Quang Nguyen +6
cs.ROarXiv:2606.06556v12026
Multi-Stage Progressive Image Restoration
Syed Waqas Zamir, Aditya Arora, Salman Khan +4
cs.CVarXiv:2102.02808v22021
A Structured Self-attentive Sentence Embedding
Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos +4
cs.CLcs.AIcs.LGarXiv:1703.03130v12017
The FF Planning System: Fast Plan Generation Through Heuristic Search
J. Hoffmann, B. Nebel
cs.AIarXiv:1106.0675v12011
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Akari Asai, Zeqiu Wu, Yizhong Wang +2
cs.CLcs.AIcs.LGarXiv:2310.11511v12023
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring
Seungjun Nah, Tae Hyun Kim, Kyoung Mu Lee
cs.CVarXiv:1612.02177v22016
Continual Learning with Deep Generative Replay
Hanul Shin, Jung Kwon Lee, Jaehong Kim +1
cs.AIcs.CVcs.LGarXiv:1705.08690v32017
Mixed Precision Training
Paulius Micikevicius, Sharan Narang, Jonah Alben +8
cs.AIcs.LGstat.MLarXiv:1710.03740v32017
SlimSearcher: Training Efficiency-Aware Web Agents via Adaptive Reward Gating
Zequn Xie, Junjie Wang, Dan Yang +4
cs.LGcs.AIarXiv:2606.07074v12026
CvT: Introducing Convolutions to Vision Transformers
Haiping Wu, Bin Xiao, Noel Codella +4
cs.CVarXiv:2103.15808v12021
Big Self-Supervised Models are Strong Semi-Supervised Learners
Ting Chen, Simon Kornblith, Kevin Swersky +2
cs.LGcs.CVstat.MLarXiv:2006.10029v22020
Common Voice: A Massively-Multilingual Speech Corpus
Rosana Ardila, Megan Branson, Kelly Davis +7
cs.CLcs.LGarXiv:1912.06670v22019
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Lantao Yu, Weinan Zhang, Jun Wang +1
cs.LGcs.AIarXiv:1609.05473v62016
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
Alon Talmor, Jonathan Herzig, Nicholas Lourie +1
cs.CLcs.AIcs.LGarXiv:1811.00937v22018
The Security of Practical Quantum Key Distribution
Valerio Scarani, Helle Bechmann-Pasquinucci, Nicolas J. Cerf +3
quant-pharXiv:0802.4155v32008
Road Extraction by Deep Residual U-Net
Zhengxin Zhang, Qingjie Liu, Yunhong Wang
cs.CVarXiv:1711.10684v12017
Deformable ConvNets v2: More Deformable, Better Results
Xizhou Zhu, Han Hu, Stephen Lin +1
cs.CVarXiv:1811.11168v22018
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
Fisher Yu, Ari Seff, Yinda Zhang +3
cs.CVarXiv:1506.03365v32015
Albumentations: fast and flexible image augmentations
Alexander Buslaev, Alex Parinov, Eugene Khvedchenya +2
cs.CVarXiv:1809.06839v12018
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation
Huimin Huang, Lanfen Lin, Ruofeng Tong +6
eess.IVcs.CVcs.LGarXiv:2004.08790v12020
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations
Carole H Sudre, Wenqi Li, Tom Vercauteren +2
cs.CVarXiv:1707.03237v32017
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie, Minh-Thang Luong, Eduard Hovy +1
cs.LGcs.CVstat.MLarXiv:1911.04252v42019
Graph Contrastive Learning with Augmentations
Yuning You, Tianlong Chen, Yongduo Sui +3
cs.LGcs.AIarXiv:2010.13902v32020
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen, Rob Fergus
cs.CVarXiv:1411.4734v42014
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch, Abhinav Gupta, Alexei A. Efros
cs.CVarXiv:1505.05192v32015
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
cs.CVarXiv:1610.02357v32016
Stable-Layers: Fine-Tuning Image Layer Decomposition Models with VLM-Scored Reinforcement Learning
Ciara Rowles, Reshinth Adithyan, Nikhil Pinnaparaju +2
cs.CVarXiv:2605.30257v12026
The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package
The Astropy Collaboration, Adrian M. Price-Whelan, Pey Lian Lim +133
astro-ph.IMarXiv:2206.14220v12022
RefCaptioner: Multi-Reference Image-Grounded Video Captioning
Tengfei Liu, Yang Shi, Yuran Wang +16
cs.CVarXiv:2607.28509v12026
DiFA: Inference-Time Forward-Process Alignment for Diffusion Models
Shigui Li, Delu Zeng
cs.LGarXiv:2607.17972v12026
DailyReport: An Open-ended Benchmark for Evaluating Search Agents on Daily Search Tasks
Jingxuan Han, Wei Liu, Mingyang Zhu +8
cs.AIarXiv:2606.12871v12026
A Scalable Pipeline for LLM-Teacher Distillation Labeling: Work-Stealing Job Scheduling and Memory-Aware GPU Concurrency
Ravi Satya Durga Prasad Yenugula
cs.DCcs.AIcs.CLarXiv:2608.15975v12026
Dual Attention Network for Scene Segmentation
Jun Fu, Jing Liu, Haijie Tian +4
cs.CVarXiv:1809.02983v42018
SIDScope: A Diagnostic Resource for Semantic-ID Interfaces in Generative Recommendation
Jiandong Ding, Huijie Qin, Tiandeng Wu +1
cs.IRcs.AIarXiv:2608.18779v12026
Summaries:한국어
Orienteering Problem with Uncertain Time-Varying Rewards: Framework and Benchmark for Everyday Service Robotics
Masafumi Endo, Kohei Honda, Yuu Jinnai +1
cs.ROcs.AIarXiv:2608.18672v12026
ComponentBench: Diagnosing Component-Level Failures in Computer-Use Agents
Tianchen Guan, Xinlei Lin, Royce Cheng-Yue +2
cs.AIcs.CLcs.HCarXiv:2608.18307v12026
Validated Adaptation for Aerial Crowd Monitoring at Mass Gathering Scale: A Deployment Protocol, a Severity Law, and a Diagnostic for Label-Free Drone Crowd Counting, Toward the FIFA World Cup 2034 (Saudi Arabia)
AlAnoud AllGhayth, AlJawharh AlOtaibi, Jude AlSubaie
cs.AIarXiv:2608.17625v12026
OraclePhys: A Systematic Framework for LLM Fine-Tuning on Structural Mechanics
Mingyu Li, Guorui Song, Jing Lin +1
cs.LGarXiv:2608.17162v12026
ComNetX: Local Hierarchical Adaptation for Dynamic Community Detection
Aleksandr Konovalov, Anna Uporova, Alexander Drobyshev +2
cs.SIcs.AIcs.LGarXiv:2608.16906v12026
When Agents Coordinate: Measuring Coordination in Multi-Agent AI Coding
Giuseppe Destefanis, Tomaso Aste
cs.AIcs.SEarXiv:2608.16801v12026
Orbit-Planner: Towards Latent World Models for On-Orbit Obstacle Avoidance of Satellite Agents
Zhijian Li, Chao Ren, Peijin Wang +1
cs.ROcs.AIarXiv:2608.16651v12026
RISE: Roadside Infrastructure Sequence Understanding across 3D Tracking and Structured Vision-Language Reasoning
Yanbo Jiang, Haotian Zheng, Jiahao Wang +10
cs.CVcs.AIarXiv:2608.16480v12026
ETHOS: Towards a Modular Ethics Framework for Clinical Multi-Agent Systems
Rakesh Sharma, Sydney Pugh, Cameron Beeche +14
cs.MAcs.AIcs.LGarXiv:2608.15424v12026
Sufficient Dimesion Reduction via Generalized Stein's Lemma
Ye Tian
stat.MLcs.LGstat.MEarXiv:2608.15121v12026
Accuracy and Reliability of Large Language Models in Cosmetic Chemistry and Skin Health: A Benchmarking Study
Amelia Liu
cs.AIarXiv:2608.14631v12026
Co-constructing sociotechnical AI governance: participatory system mapping using algorithm registers
Íñigo de Troya, Maurus Enbergs, Neelke Doorn +1
cs.CYcs.AIeess.SYarXiv:2608.12166v12026
SKILLER: Language-Level Reinforcement Learning for Reusable Skill Extraction in Small Language Models
Chenhao Dang, Siyuan Xiong, Conghui He +1
cs.AIarXiv:2608.10538v22026
Vinci2: Providing Proactive Assistance in Continuous Egocentric Videos
Gong Sitong, Tianyu Yan, Caixin Kang +6
cs.CVcs.AIarXiv:2607.11523v12026
Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation
Haozhe Wang, Weijia Feng, Jinpeng Yu +8
cs.CVcs.AIarXiv:2607.05382v42026
TACO: Tool-Augmented Credit Optimization for Agentic Tool Use
Mingkuan Feng, Jinyang Wu, Hao Gu +5
cs.MAarXiv:2606.30251v12026
Summaries:한국어
Bridging VideoQA and Video-Guided Agentic Tasks via Generalized Keyframe Extraction
Sunqi Fan, Qingle Liu, Runqi Yin +2
cs.CVcs.AIarXiv:2606.29445v12026
Summaries:한국어
RedVox: Safety and Fairness Gaps in Speech Models Across Languages
Beatrice Savoldi, Sara Papi, Wafa Aissa +2
cs.CLarXiv:2606.26968v12026
What the LLM Should Not Say: Boundary-Aware Context Grounding for A Seven-Channel EEG Agent
Zhiyuan Xu, Yueqing Dai, Junling Li +1
cs.AIarXiv:2606.26519v22026
MEMPROBE: Probing Long-Term Agent Memory via Hidden User-State Recovery
Enze Ma, Yufan Zhou, Wei-Chieh Huang +7
cs.CLarXiv:2606.24595v12026
Self-Evaluation Is Already There: Eliciting Latent Judge Calibration in Base LLMs with Minimal Data
XiuYu Zhang, Yi Shan, Junfeng Fang +1
cs.CLarXiv:2606.05122v12026
GGT-100K: Generative Ground Truth for Generalizable Real-World Image Restoration
Xiangtao Kong, Jixin Zhao, Lingchen Sun +2
cs.CVarXiv:2605.31039v22026
Solvita: Enhancing Large Language Models for Competitive Programming via Agentic Evolution
Han Li, Jinyu Tian, Rili Feng +10
cs.AIarXiv:2605.15301v12026
Rethinking Agentic Search with Pi-Serini: Is Lexical Retrieval Sufficient?
Tz-Huan Hsu, Jheng-Hong Yang, Jimmy Lin
cs.IRcs.AIcs.CLarXiv:2605.10848v12026
Metal-Sci: A Scientific Compute Benchmark for Evolutionary LLM Kernel Search on Apple Silicon
Víctor Gallego
cs.LGcs.AIcs.DCarXiv:2605.09708v22026

Every paper with a summary

European Union regulations on algorithmic decision-making and a "right to explanation"

Robots Need More than VLA and World Models

Multi-Stage Progressive Image Restoration

A Structured Self-attentive Sentence Embedding

The FF Planning System: Fast Plan Generation Through Heuristic Search

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring

Continual Learning with Deep Generative Replay

Mixed Precision Training

SlimSearcher: Training Efficiency-Aware Web Agents via Adaptive Reward Gating

CvT: Introducing Convolutions to Vision Transformers

Big Self-Supervised Models are Strong Semi-Supervised Learners

Common Voice: A Massively-Multilingual Speech Corpus

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge

The Security of Practical Quantum Key Distribution

Road Extraction by Deep Residual U-Net

Deformable ConvNets v2: More Deformable, Better Results

LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

Albumentations: fast and flexible image augmentations

UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation

Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations

Self-training with Noisy Student improves ImageNet classification

Graph Contrastive Learning with Augmentations

Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture

Unsupervised Visual Representation Learning by Context Prediction

Xception: Deep Learning with Depthwise Separable Convolutions

Stable-Layers: Fine-Tuning Image Layer Decomposition Models with VLM-Scored Reinforcement Learning

The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package

RefCaptioner: Multi-Reference Image-Grounded Video Captioning

DiFA: Inference-Time Forward-Process Alignment for Diffusion Models

DailyReport: An Open-ended Benchmark for Evaluating Search Agents on Daily Search Tasks

A Scalable Pipeline for LLM-Teacher Distillation Labeling: Work-Stealing Job Scheduling and Memory-Aware GPU Concurrency

Dual Attention Network for Scene Segmentation

SIDScope: A Diagnostic Resource for Semantic-ID Interfaces in Generative Recommendation

Orienteering Problem with Uncertain Time-Varying Rewards: Framework and Benchmark for Everyday Service Robotics

ComponentBench: Diagnosing Component-Level Failures in Computer-Use Agents

Validated Adaptation for Aerial Crowd Monitoring at Mass Gathering Scale: A Deployment Protocol, a Severity Law, and a Diagnostic for Label-Free Drone Crowd Counting, Toward the FIFA World Cup 2034 (Saudi Arabia)

OraclePhys: A Systematic Framework for LLM Fine-Tuning on Structural Mechanics

ComNetX: Local Hierarchical Adaptation for Dynamic Community Detection

When Agents Coordinate: Measuring Coordination in Multi-Agent AI Coding

Orbit-Planner: Towards Latent World Models for On-Orbit Obstacle Avoidance of Satellite Agents

RISE: Roadside Infrastructure Sequence Understanding across 3D Tracking and Structured Vision-Language Reasoning

ETHOS: Towards a Modular Ethics Framework for Clinical Multi-Agent Systems

Sufficient Dimesion Reduction via Generalized Stein's Lemma

Accuracy and Reliability of Large Language Models in Cosmetic Chemistry and Skin Health: A Benchmarking Study

Co-constructing sociotechnical AI governance: participatory system mapping using algorithm registers

SKILLER: Language-Level Reinforcement Learning for Reusable Skill Extraction in Small Language Models

Vinci2: Providing Proactive Assistance in Continuous Egocentric Videos

Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation

TACO: Tool-Augmented Credit Optimization for Agentic Tool Use

Bridging VideoQA and Video-Guided Agentic Tasks via Generalized Keyframe Extraction

RedVox: Safety and Fairness Gaps in Speech Models Across Languages

What the LLM Should Not Say: Boundary-Aware Context Grounding for A Seven-Channel EEG Agent

MEMPROBE: Probing Long-Term Agent Memory via Hidden User-State Recovery

Self-Evaluation Is Already There: Eliciting Latent Judge Calibration in Base LLMs with Minimal Data

GGT-100K: Generative Ground Truth for Generalizable Real-World Image Restoration

Solvita: Enhancing Large Language Models for Competitive Programming via Agentic Evolution

Rethinking Agentic Search with Pi-Serini: Is Lexical Retrieval Sufficient?

Metal-Sci: A Scientific Compute Benchmark for Evolutionary LLM Kernel Search on Apple Silicon