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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55,861 to 55,920 of 117,801

ClawBench: Can AI Agents Complete Everyday Online Tasks?
Yuxuan Zhang, Yubo Wang, Yipeng Zhu +25
cs.CLcs.AIarXiv:2604.08523v22026
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection
Mohanad Sarhan, Siamak Layeghy, Marius Portmann
cs.CRcs.LGcs.NIarXiv:2104.07183v22021
Federated Learning for Emoji Prediction in a Mobile Keyboard
Swaroop Ramaswamy, Rajiv Mathews, Kanishka Rao +1
cs.CLcs.LGarXiv:1906.04329v12019
Learning to Restore More: Continual Capability Expansion for Pretrained Image Restoration Models
Hu Gao, Yulong Chen, Lizhuang Ma
cs.CVarXiv:2608.30305v12026
Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation
Zhe Xie, Chengxuan Liu, Yichi Zhang +3
cs.IRcs.LGarXiv:2103.10693v12021
Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks
Jianyu Wang, Haichao Zhang
cs.CVarXiv:1811.10716v22018
Local Private Information Retrieval for Graph-Based Replicated Systems
Shreya Meel, Mohamed Nomeir, Sennur Ulukus
cs.ITcs.CRcs.DBarXiv:2608.31150v12026
Recipes for Safety in Open-domain Chatbots
Jing Xu, Da Ju, Margaret Li +3
cs.CLcs.AIarXiv:2010.07079v32020
CLIPO: Contrastive Learning in Policy Optimization Generalizes RLVR
Sijia Cui, Pengyu Cheng, Jiajun Song +6
cs.LGcs.AIcs.CLarXiv:2603.10101v12026
TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability
Tonglong Wei, Yan Lin, Zeyu Zhou +6
cs.LGarXiv:2505.12672v12025
Voice Separation with an Unknown Number of Multiple Speakers
Eliya Nachmani, Yossi Adi, Lior Wolf
eess.AScs.LGcs.SDarXiv:2003.01531v42020
Reaching Human-level Performance in Automatic Grammatical Error Correction: An Empirical Study
Tao Ge, Furu Wei, Ming Zhou
cs.CLcs.AIarXiv:1807.01270v52018
Progress in satellite quantum key distribution
Robert Bedington, Juan Miguel Arrazola, Alexander Ling
quant-pharXiv:1707.03613v22017
Model-based RL in Contextual Decision Processes: PAC bounds and Exponential Improvements over Model-free Approaches
Wen Sun, Nan Jiang, Akshay Krishnamurthy +2
cs.LGstat.MLarXiv:1811.08540v32018
Three scenarios for continual learning
Gido M. van de Ven, Andreas S. Tolias
cs.LGcs.AIcs.CVarXiv:1904.07734v12019
Can LLM-Generated Misinformation Be Detected?
Canyu Chen, Kai Shu
cs.CLcs.AIcs.CRarXiv:2309.13788v52023
NetScatter: Enabling Large-Scale Backscatter Networks
Mehrdad Hessar, Ali Najafi, Shyamnath Gollakota
cs.NIarXiv:1808.05195v12018
Training Foundation Models on a Full-Stack AMD Platform: Compute, Networking, and System Design
Quentin Anthony, Yury Tokpanov, Skyler Szot +18
cs.CLcs.AIcs.DCarXiv:2511.17127v22025
LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments
Maonan Wang, Aoyu Pang, Yuheng Kan +3
eess.SYcs.AIcs.LGarXiv:2403.08337v22024
CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving
Yuhan Liu, Hanchen Li, Yihua Cheng +11
cs.NIcs.LGarXiv:2310.07240v62023
Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback
Yuta Saito
cs.SIcs.IRcs.LGarXiv:1910.01444v62019
How Far are VLMs from Visual Spatial Intelligence? A Benchmark-Driven Perspective
Songsong Yu, Yuxin Chen, Hao Ju +15
cs.AIarXiv:2509.18905v22025
Mean-Variance Optimization in Markov Decision Processes
Shie Mannor, John Tsitsiklis
cs.LGcs.AIarXiv:1104.5601v12011
Jointly Learning to Align and Translate with Transformer Models
Sarthak Garg, Stephan Peitz, Udhyakumar Nallasamy +1
cs.CLarXiv:1909.02074v12019
Spatio-temporal video autoencoder with differentiable memory
Viorica Patraucean, Ankur Handa, Roberto Cipolla
cs.LGcs.CVarXiv:1511.06309v52015
NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers
Kai Shen, Zeqian Ju, Xu Tan +6
eess.AScs.AIcs.CLarXiv:2304.09116v32023
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning
Richard J. Chen, Chengkuan Chen, Yicong Li +4
cs.CVarXiv:2206.02647v12022
Engineering Safety in Machine Learning
Kush R. Varshney
stat.MLcs.AIcs.CYarXiv:1601.04126v12016
Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency
Kaiwen Zheng, Yuji Wang, Qianli Ma +7
cs.CVcs.LGarXiv:2510.08431v32025
Visual Search at Alibaba
Yanhao Zhang, Pan Pan, Yun Zheng +4
cs.CVarXiv:2102.04674v12021
An Empirical Study of the Non-determinism of ChatGPT in Code Generation
Shuyin Ouyang, Jie M. Zhang, Mark Harman +1
cs.SEarXiv:2308.02828v22023
Simple Black-box Adversarial Attacks
Chuan Guo, Jacob R. Gardner, Yurong You +2
cs.LGcs.CRstat.MLarXiv:1905.07121v22019
Learning Tree-based Deep Model for Recommender Systems
Han Zhu, Xiang Li, Pengye Zhang +4
stat.MLcs.IRcs.LGarXiv:1801.02294v52018
Domain Adaptation with Adversarial Training and Graph Embeddings
Firoj Alam, Shafiq Joty, Muhammad Imran
cs.LGstat.MLarXiv:1805.05151v12018
What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models
Allyson Ettinger
cs.CLcs.AIarXiv:1907.13528v22019
Dense Intrinsic Appearance Flow for Human Pose Transfer
Yining Li, Chen Huang, Chen Change Loy
cs.CVarXiv:1903.11326v12019
Understanding Mobile Traffic Patterns of Large Scale Cellular Towers in Urban Environment
Huandong Wang, Fengli Xu, Yong Li +2
cs.NIarXiv:1510.04026v12015
Orthographic Feature Transform for Monocular 3D Object Detection
Thomas Roddick, Alex Kendall, Roberto Cipolla
cs.CVarXiv:1811.08188v12018
Stochastic KV Routing: Enabling Adaptive Depth-Wise Cache Sharing
Anastasiia Filippova, David Grangier, Marco Cuturi +1
cs.LGcs.AIarXiv:2604.22782v12026
How are Software Repositories Mined? A Systematic Literature Review of Workflows, Methodologies, Reproducibility, and Tools
Adam Tutko, Austin Z. Henley, Audris Mockus
cs.SEarXiv:2204.08108v12022
Unlocking Feature Learning in Gated Delta Networks at Scale
Yifeng Liu, Quanquan Gu
cs.LGcs.AIarXiv:2606.04048v12026
The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning
Siyuan Ma, Raef Bassily, Mikhail Belkin
cs.LGstat.MLarXiv:1712.06559v32017
Tracing the Evidence: Faithful Token Attribution Through Vision-Language Reasoning
Bowen Yuan, Danny Wang, Ruihong Qiu +2
cs.CVarXiv:2609.37656v12026
MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation
Yu Qiu, Yun Liu, Shijie Li +1
cs.CVarXiv:2004.09750v32020
Faithful GRPO: Improving Visual Spatial Reasoning in Multimodal Language Models via Constrained Policy Optimization
Sai Srinivas Kancheti, Aditya Kanade, Rohit Sinha +2
cs.CVcs.AIarXiv:2604.08476v12026
Understanding Alternating Minimization for Matrix Completion
Moritz Hardt
cs.LGcs.DSstat.MLarXiv:1312.0925v42013
Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition
Chu Wang, Marcello Pelillo, Kaleem Siddiqi
cs.CVarXiv:1906.01592v12019
G2D: Generative-to-Discriminative Collaborative Inference for Zero-Shot Image Classification
Zehua Hao, Fang Liu, Qinliang Wang +3
cs.CVarXiv:2608.26744v12026
Multivariate Variational Mode Decomposition
Naveed ur Rehman, Hania Aftab
eess.SParXiv:1907.04509v12019
The Random Feature Model for Input-Output Maps between Banach Spaces
Nicholas H. Nelsen, Andrew M. Stuart
math.NAcs.LGphysics.comp-pharXiv:2005.10224v22020
PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization
Xiaohong Liu, Yaojie Liu, Jun Chen +1
cs.CVarXiv:2103.10596v22021
A Graph Representation of Semi-structured Data for Web Question Answering
Xingyao Zhang, Linjun Shou, Jian Pei +3
cs.CLcs.AIarXiv:2010.06801v12020
State Transfer on Graphs
Chris Godsil
math.COquant-pharXiv:1102.4898v32011
Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation
Yangsibo Huang, Samyak Gupta, Mengzhou Xia +2
cs.CLcs.AIcs.CRarXiv:2310.06987v12023
Classical Mathematical Models for Description and Prediction of Experimental Tumor Growth
Sébastien Benzekry, Clare Lamont, Afshin Beheshti +4
q-bio.QMq-bio.TOarXiv:1406.1446v22014
Translating a Math Word Problem to an Expression Tree
Lei Wang, Yan Wang, Deng Cai +2
cs.CLarXiv:1811.05632v22018
Track, Inpaint, Resplat: Subject-driven 3D and 4D Generation with Progressive Texture Infilling
Shuhong Zheng, Ashkan Mirzaei, Igor Gilitschenski
cs.CVcs.AIcs.GRarXiv:2510.23605v12025
Accurate Image Restoration with Attention Retractable Transformer
Jiale Zhang, Yulun Zhang, Jinjin Gu +3
cs.CVarXiv:2210.01427v42022
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs
Binghui Wang, Ang Li, Hai Li +1
cs.LGstat.MLarXiv:2012.04187v12020
Telligram: Text-Driven Calligram Generation via Diffusion-Guided Skeleton Optimization
Tianci Shi, Pengfei Xu
cs.GRarXiv:2609.02511v12026

Every paper with a summary

ClawBench: Can AI Agents Complete Everyday Online Tasks?

Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection

Federated Learning for Emoji Prediction in a Mobile Keyboard

Learning to Restore More: Continual Capability Expansion for Pretrained Image Restoration Models

Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation

Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks

Local Private Information Retrieval for Graph-Based Replicated Systems

Recipes for Safety in Open-domain Chatbots

CLIPO: Contrastive Learning in Policy Optimization Generalizes RLVR

TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability

Voice Separation with an Unknown Number of Multiple Speakers

Reaching Human-level Performance in Automatic Grammatical Error Correction: An Empirical Study

Progress in satellite quantum key distribution

Model-based RL in Contextual Decision Processes: PAC bounds and Exponential Improvements over Model-free Approaches

Three scenarios for continual learning

Can LLM-Generated Misinformation Be Detected?

NetScatter: Enabling Large-Scale Backscatter Networks

Training Foundation Models on a Full-Stack AMD Platform: Compute, Networking, and System Design

LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments

CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving

Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback

How Far are VLMs from Visual Spatial Intelligence? A Benchmark-Driven Perspective

Mean-Variance Optimization in Markov Decision Processes

Jointly Learning to Align and Translate with Transformer Models

Spatio-temporal video autoencoder with differentiable memory

NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers

Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning

Engineering Safety in Machine Learning

Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency

Visual Search at Alibaba

An Empirical Study of the Non-determinism of ChatGPT in Code Generation

Simple Black-box Adversarial Attacks

Learning Tree-based Deep Model for Recommender Systems

Domain Adaptation with Adversarial Training and Graph Embeddings

What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models

Dense Intrinsic Appearance Flow for Human Pose Transfer

Understanding Mobile Traffic Patterns of Large Scale Cellular Towers in Urban Environment

Orthographic Feature Transform for Monocular 3D Object Detection

Stochastic KV Routing: Enabling Adaptive Depth-Wise Cache Sharing

How are Software Repositories Mined? A Systematic Literature Review of Workflows, Methodologies, Reproducibility, and Tools

Unlocking Feature Learning in Gated Delta Networks at Scale

The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning

Tracing the Evidence: Faithful Token Attribution Through Vision-Language Reasoning

MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation

Faithful GRPO: Improving Visual Spatial Reasoning in Multimodal Language Models via Constrained Policy Optimization

Understanding Alternating Minimization for Matrix Completion

Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition

G2D: Generative-to-Discriminative Collaborative Inference for Zero-Shot Image Classification

Multivariate Variational Mode Decomposition

The Random Feature Model for Input-Output Maps between Banach Spaces

PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization

A Graph Representation of Semi-structured Data for Web Question Answering

State Transfer on Graphs

Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation

Classical Mathematical Models for Description and Prediction of Experimental Tumor Growth

Translating a Math Word Problem to an Expression Tree

Track, Inpaint, Resplat: Subject-driven 3D and 4D Generation with Progressive Texture Infilling

Accurate Image Restoration with Attention Retractable Transformer

GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs

Telligram: Text-Driven Calligram Generation via Diffusion-Guided Skeleton Optimization