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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47,281 to 47,340 of 61,428

Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback
Baolin Peng, Michel Galley, Pengcheng He +8
cs.CLcs.AIarXiv:2302.12813v32023
Massive MIMO performance evaluation based on measured propagation data
Xiang Gao, Ove Edfors, Fredrik Rusek +1
cs.ITarXiv:1403.3376v32014
Boolean network model predicts cell cycle sequence of fission yeast
Maria I. Davidich, Stefan Bornholdt
q-bio.MNarXiv:0704.2200v12007
Atomic Cross-Chain Swaps
Maurice Herlihy
cs.DCarXiv:1801.09515v42018
Formal, Executable and Explainable Runtime Monitoring of Spoken Air Traffic Control Operational Procedures
Roberto Luvini, Giacomo Longo, Alessandro Armando +1
cs.AIcs.CLeess.ASarXiv:2608.25926v12026
StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation
Zongze Wu, Dani Lischinski, Eli Shechtman
cs.CVcs.GRcs.LGarXiv:2011.12799v22020
Why Does Graph Learning Fail to Fully Benefit from a Text Teacher?
Fumiaki Kimino, Ryoma Sato
cs.LGcs.CLarXiv:2608.25741v12026
Expanding Language-Image Pretrained Models for General Video Recognition
Bolin Ni, Houwen Peng, Minghao Chen +5
cs.CVarXiv:2208.02816v12022
A Riemannian Network for SPD Matrix Learning
Zhiwu Huang, Luc Van Gool
cs.CVarXiv:1608.04233v22016
Prefix Sliding for efficient test-time scaling
Niklas Muennighoff, Zhengyang Wang, Zeyi Chen +15
cs.CLcs.AIcs.LGarXiv:2608.26070v12026
Bayesian Optimization with Unknown Constraints
Michael A. Gelbart, Jasper Snoek, Ryan P. Adams
stat.MLcs.LGarXiv:1403.5607v12014
Multi-layer Representation Learning for Medical Concepts
Edward Choi, Mohammad Taha Bahadori, Elizabeth Searles +2
cs.LGarXiv:1602.05568v12016
Learning Deep Representations of Appearance and Motion for Anomalous Event Detection
Dan Xu, Elisa Ricci, Yan Yan +2
cs.CVarXiv:1510.01553v12015
VISA: Agentic Self-Evolving Data Synthesis for Multimodal Instruction Following
Min Zeng, Guanxin Tan, Libin Cen +5
cs.CLarXiv:2608.26013v12026
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks
Yuheng Zhang, Ruoxi Jia, Hengzhi Pei +3
cs.LGstat.MLarXiv:1911.07135v22019
When Personality Meets Quantization: A Layer-wise MBTI Analysis of Quantized LLMs
Yao Fu, Lijia Huang, Xiaomin Li +3
cs.CLarXiv:2608.25977v12026
Statistical guarantees for the EM algorithm: From population to sample-based analysis
Sivaraman Balakrishnan, Martin J. Wainwright, Bin Yu
math.STcs.LGstat.MLarXiv:1408.2156v12014
ProcTHOR: Large-Scale Embodied AI Using Procedural Generation
Matt Deitke, Eli VanderBilt, Alvaro Herrasti +8
cs.AIcs.CVcs.ROarXiv:2206.06994v12022
Physics-Informed Machine Learning Approach for Augmenting Turbulence Models: A Comprehensive Framework
Jin-Long Wu, Heng Xiao, Eric Paterson
physics.flu-dynarXiv:1801.02762v42018
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach +3
cs.CLcs.AIarXiv:2404.05961v22024
Unveiling Spectral Mechanisms in Training-Free LLM Text Detection
Haitong Luo, Xuying Meng, Weiyao Zhang +5
cs.CLarXiv:2608.25944v12026
Triadic closure in two-mode networks: Redefining the global and local clustering coefficients
Tore Opsahl
physics.soc-pharXiv:1006.0887v32010
Structured Inference Networks for Nonlinear State Space Models
Rahul G. Krishnan, Uri Shalit, David Sontag
stat.MLcs.AIcs.LGarXiv:1609.09869v22016
AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an App
Ali Imran, Iryna Posokhova, Haneya N. Qureshi +6
eess.AScs.LGcs.SDarXiv:2004.01275v62020
BERT: A Review of Applications in Natural Language Processing and Understanding
M. V. Koroteev
cs.CLcs.AIcs.LGarXiv:2103.11943v12021
Conditional Probability Models for Deep Image Compression
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen +2
cs.CVcs.LGarXiv:1801.04260v42018
Visual Storytelling
Ting-Hao, Huang, Francis Ferraro +13
cs.CLcs.AIcs.CVarXiv:1604.03968v12016
Query-Side Attacks on GNN-Based KGQA: Tracing Failures from Entity Linking to Answer Generation
Pankaj Kumar, Subhankar Mishra
cs.CLcs.AIcs.IRarXiv:2608.25922v12026
Graph Retrieval-Augmented Generation: A Survey
Boci Peng, Yun Zhu, Yongchao Liu +5
cs.AIcs.CLcs.IRarXiv:2408.08921v22024
Restricted strong convexity and weighted matrix completion: Optimal bounds with noise
Sahand Negahban, Martin J. Wainwright
cs.ITmath.STarXiv:1009.2118v22010
AlignedReID: Surpassing Human-Level Performance in Person Re-Identification
Xuan Zhang, Hao Luo, Xing Fan +6
cs.CVarXiv:1711.08184v22017
Learning to Hash for Indexing Big Data - A Survey
Jun Wang, Wei Liu, Sanjiv Kumar +1
cs.LGarXiv:1509.05472v12015
Quantum walk based search algorithms
Miklos Santha
quant-phcs.CCarXiv:0808.0059v12008
XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages
Tahmid Hasan, Abhik Bhattacharjee, Md Saiful Islam +5
cs.CLarXiv:2106.13822v12021
An Empirical Study of Spatial Attention Mechanisms in Deep Networks
Xizhou Zhu, Dazhi Cheng, Zheng Zhang +2
cs.CVcs.CLcs.LGarXiv:1904.05873v12019
Loss-Based Active Learning for Neural Abstractive Summarization
Michail Ioannou, Tatiana Passali, George Michalopoulos +1
cs.CLarXiv:2608.25881v12026
Graph Convolutional Networks for Temporal Action Localization
Runhao Zeng, Wenbing Huang, Mingkui Tan +4
cs.CVarXiv:1909.03252v12019
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks
Martin Engelcke, Dushyant Rao, Dominic Zeng Wang +2
cs.ROcs.AIcs.CVarXiv:1609.06666v22016
Summaries:한국어
Echo Chambers: Emotional Contagion and Group Polarization on Facebook
Michela Del Vicario, Gianna Vivaldo, Alessandro Bessi +4
physics.soc-phcs.SIarXiv:1607.01032v12016
Anchoring Bias in LLM-as-a-Judge Systems: Prior Scores Compromise Evaluation Independence
Ante Kapetanovic, Kemal Altwlkany, Andro Mercep +2
cs.CLarXiv:2608.25869v12026
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks
Konstantinos Kamnitsas, Christian Baumgartner, Christian Ledig +8
cs.CVarXiv:1612.08894v12016
Massive Exploration of Neural Machine Translation Architectures
Denny Britz, Anna Goldie, Minh-Thang Luong +1
cs.CLarXiv:1703.03906v22017
Technical Report on the CleverHans v2.1.0 Adversarial Examples Library
Nicolas Papernot, Fartash Faghri, Nicholas Carlini +23
cs.LGcs.CRstat.MLarXiv:1610.00768v62016
VideoPoet: A Large Language Model for Zero-Shot Video Generation
Dan Kondratyuk, Lijun Yu, Xiuye Gu +28
cs.CVcs.AIarXiv:2312.14125v42023
Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss
Qian Zhang, Han Lu, Hasim Sak +4
eess.AScs.CLcs.SDarXiv:2002.02562v22020
Supervised quantum machine learning models are kernel methods
Maria Schuld
quant-phstat.MLarXiv:2101.11020v22021
EGO-Planner: An ESDF-free Gradient-based Local Planner for Quadrotors
Xin Zhou, Zhepei Wang, Hongkai Ye +2
cs.ROarXiv:2008.08835v22020
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings
Yu Chen, Lingfei Wu, Mohammed J. Zaki
cs.LGstat.MLarXiv:2006.13009v22020
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective
Kaidi Xu, Hongge Chen, Sijia Liu +4
cs.LGcs.CRcs.SIarXiv:1906.04214v32019
Photo Aesthetics Ranking Network with Attributes and Content Adaptation
Shu Kong, Xiaohui Shen, Zhe Lin +2
cs.CVcs.IRcs.MMarXiv:1606.01621v22016
Tradition and Innovation in Scientists' Research Strategies
Jacob G. Foster, Andrey Rzhetsky, James A. Evans
physics.soc-phcs.DLcs.SIarXiv:1302.6906v12013
Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models
Bradly C. Stadie, Sergey Levine, Pieter Abbeel
cs.AIcs.LGstat.MLarXiv:1507.00814v32015
SAMpLE: A SystemC-AMS Machine LEarning-based Framework for Virtual Prototyping
Andrei Mihai Albu, Sara Vinco
cs.CLcs.LGarXiv:2608.25910v12026
Design and Characterization of a Full-duplex Multi-antenna System for WiFi networks
Melissa Duarte, Ashutosh Sabharwal, Vaneet Aggarwal +4
cs.NIarXiv:1210.1639v22012
How well do Network Models predict Observations? On the Importance of Predictability in Network Models
Jonas Haslbeck, Lourens J Waldorp
stat.AParXiv:1610.09108v32016
High-dimensional dynamics of generalization error in neural networks
Madhu S. Advani, Andrew M. Saxe
stat.MLcs.LGphysics.data-anarXiv:1710.03667v12017
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations
John Giorgi, Osvald Nitski, Bo Wang +1
cs.CLcs.LGarXiv:2006.03659v42020
One Form to Transfer Them All: Pretraining Multilingual Language Models Beyond Native Orthography
Muge Zhang, Aaron Jencks, Krishna Badikela +2
cs.CLarXiv:2608.25904v12026
Transformer for Single Image Super-Resolution
Zhisheng Lu, Juncheng Li, Hong Liu +3
cs.CVarXiv:2108.11084v32021
LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving
Guodong Rong, Byung Hyun Shin, Hadi Tabatabaee +14
cs.ROcs.LGeess.SYarXiv:2005.03778v32020

Every paper with a summary

Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback

Massive MIMO performance evaluation based on measured propagation data

Boolean network model predicts cell cycle sequence of fission yeast

Atomic Cross-Chain Swaps

Formal, Executable and Explainable Runtime Monitoring of Spoken Air Traffic Control Operational Procedures

StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation

Why Does Graph Learning Fail to Fully Benefit from a Text Teacher?

Expanding Language-Image Pretrained Models for General Video Recognition

A Riemannian Network for SPD Matrix Learning

Prefix Sliding for efficient test-time scaling

Bayesian Optimization with Unknown Constraints

Multi-layer Representation Learning for Medical Concepts

Learning Deep Representations of Appearance and Motion for Anomalous Event Detection

VISA: Agentic Self-Evolving Data Synthesis for Multimodal Instruction Following

The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks

When Personality Meets Quantization: A Layer-wise MBTI Analysis of Quantized LLMs

Statistical guarantees for the EM algorithm: From population to sample-based analysis

ProcTHOR: Large-Scale Embodied AI Using Procedural Generation

Physics-Informed Machine Learning Approach for Augmenting Turbulence Models: A Comprehensive Framework

LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Unveiling Spectral Mechanisms in Training-Free LLM Text Detection

Triadic closure in two-mode networks: Redefining the global and local clustering coefficients

Structured Inference Networks for Nonlinear State Space Models

AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an App

BERT: A Review of Applications in Natural Language Processing and Understanding

Conditional Probability Models for Deep Image Compression

Visual Storytelling

Query-Side Attacks on GNN-Based KGQA: Tracing Failures from Entity Linking to Answer Generation

Graph Retrieval-Augmented Generation: A Survey

Restricted strong convexity and weighted matrix completion: Optimal bounds with noise

AlignedReID: Surpassing Human-Level Performance in Person Re-Identification

Learning to Hash for Indexing Big Data - A Survey

Quantum walk based search algorithms

XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages

An Empirical Study of Spatial Attention Mechanisms in Deep Networks

Loss-Based Active Learning for Neural Abstractive Summarization

Graph Convolutional Networks for Temporal Action Localization

Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks

Echo Chambers: Emotional Contagion and Group Polarization on Facebook

Anchoring Bias in LLM-as-a-Judge Systems: Prior Scores Compromise Evaluation Independence

Unsupervised domain adaptation in brain lesion segmentation with adversarial networks

Massive Exploration of Neural Machine Translation Architectures

Technical Report on the CleverHans v2.1.0 Adversarial Examples Library

VideoPoet: A Large Language Model for Zero-Shot Video Generation

Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss

Supervised quantum machine learning models are kernel methods

EGO-Planner: An ESDF-free Gradient-based Local Planner for Quadrotors

Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings

Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective

Photo Aesthetics Ranking Network with Attributes and Content Adaptation

Tradition and Innovation in Scientists' Research Strategies

Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models

SAMpLE: A SystemC-AMS Machine LEarning-based Framework for Virtual Prototyping

Design and Characterization of a Full-duplex Multi-antenna System for WiFi networks

How well do Network Models predict Observations? On the Importance of Predictability in Network Models

High-dimensional dynamics of generalization error in neural networks

DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations

One Form to Transfer Them All: Pretraining Multilingual Language Models Beyond Native Orthography

Transformer for Single Image Super-Resolution

LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving