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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60,001 to 60,060 of 117,428

Latent-WAM: Latent World Action Modeling for End-to-End Autonomous Driving
Linbo Wang, Yupeng Zheng, Qiang Chen +13
cs.CVcs.ROarXiv:2603.24581v12026
A Survey of Contextual Optimization Methods for Decision Making under Uncertainty
Utsav Sadana, Abhilash Chenreddy, Erick Delage +3
math.OCcs.LGarXiv:2306.10374v22023
SIEVE: Structure-Aware Data Selection for Imitation Learning with VLA Models
Changti Wu, Bin Yu, Zhaolong Shen +6
cs.ROarXiv:2607.06442v12026
Attribute2Image: Conditional Image Generation from Visual Attributes
Xinchen Yan, Jimei Yang, Kihyuk Sohn +1
cs.LGcs.AIcs.CVarXiv:1512.00570v22015
Pre-Training BERT on Arabic Tweets: Practical Considerations
Ahmed Abdelali, Sabit Hassan, Hamdy Mubarak +2
cs.CLcs.AIarXiv:2102.10684v12021
FuseChat: Knowledge Fusion of Chat Models
Fanqi Wan, Longguang Zhong, Ziyi Yang +2
cs.CLarXiv:2408.07990v12024
Privacy-preserving and Efficient Aggregation based on Blockchain for Power Grid Communications in Smart Communities
Zhitao Guan, Guanlin Si, Xiaosong Zhang +4
cs.CRarXiv:1806.01056v12018
On the Fundamental Tradeoff of Integrated Sensing and Communications Under Gaussian Channels
Yifeng Xiong, Fan Liu, Yuanhao Cui +3
cs.ITarXiv:2204.06938v82022
Adversarial Example Defenses: Ensembles of Weak Defenses are not Strong
Warren He, James Wei, Xinyun Chen +2
cs.LGarXiv:1706.04701v12017
Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism
Levi McClenny, Ulisses Braga-Neto
cs.LGstat.MLarXiv:2009.04544v52020
Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark
Nora Lüthen, Stefano Marelli, Bruno Sudret
math.NAstat.COstat.MEarXiv:2002.01290v42020
MemoryLLM: Plug-n-Play Interpretable Feed-Forward Memory for Transformers
Ajay Jaiswal, Lauren Hannah, Han-Byul Kim +4
cs.LGarXiv:2602.00398v12026
Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling
Kaiwen Zheng, Yongxin Chen, Hanzi Mao +3
cs.LGcs.AIcs.CLarXiv:2409.02908v62024
Locally Differentially Private Heavy Hitter Identification
Tianhao Wang, Ninghui Li, Somesh Jha
cs.CRarXiv:1708.06674v12017
CTAP: Complementary Temporal Action Proposal Generation
Jiyang Gao, Kan Chen, Ram Nevatia
cs.CVarXiv:1807.04821v22018
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
Shengyu Zhao, Jonathan Cui, Yilun Sheng +4
cs.CVcs.GRcs.LGarXiv:2103.10428v12021
Lifelong Learning for Sentiment Classification
Zhiyuan Chen, Nianzu Ma, Bing Liu
cs.CLcs.IRcs.LGarXiv:1801.02808v12018
Learning to Optimize Neural Nets
Ke Li, Jitendra Malik
cs.LGcs.AImath.OCarXiv:1703.00441v22017
Polymer Informatics with Multi-Task Learning
Christopher Künneth, Arunkumar Chitteth Rajan, Huan Tran +3
cond-mat.mtrl-scics.LGphysics.comp-pharXiv:2010.15166v12020
Recurrent Neural Network Wave Functions
Mohamed Hibat-Allah, Martin Ganahl, Lauren E. Hayward +2
cond-mat.dis-nncond-mat.str-elphysics.comp-pharXiv:2002.02973v42020
Lattice Strategies for the Dirty Multiple Access Channel
Tal Philosof, Ram Zamir, Uri Erez +1
cs.ITarXiv:0904.1892v12009
Anti-de Sitter Space from Optimization of Path Integrals in Conformal Field Theories
Pawel Caputa, Nilay Kundu, Masamichi Miyaji +2
hep-thcond-mat.stat-mechquant-pharXiv:1703.00456v22017
The Open-Strategy Dictator Game: Cooperation Under Mutual Transparency
Michael Glass
cs.GTcs.AIcs.MAarXiv:2608.14913v12026
VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning
Jun Chen, Han Guo, Kai Yi +2
cs.CVcs.AIcs.CLarXiv:2102.10407v52021
Improving Receiver Performance of Diffusive Molecular Communication with Enzymes
Adam Noel, Karen C. Cheung, Robert Schober
cs.ITcs.ETarXiv:1305.1926v42013
dInfer: An Efficient Inference Framework for Diffusion Language Models
Yuxin Ma, Lun Du, Lanning Wei +20
cs.CLcs.AIarXiv:2510.08666v32025
Mini-Omni2: Towards Open-source GPT-4o with Vision, Speech and Duplex Capabilities
Zhifei Xie, Changqiao Wu
eess.AScs.AIcs.CVarXiv:2410.11190v32024
NaviDC-OCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
Peng Cai, Zhaofan Zou, Shifa Liu +6
cs.CVcs.AIarXiv:2608.12898v12026
PointLLM: Empowering Large Language Models to Understand Point Clouds
Runsen Xu, Xiaolong Wang, Tai Wang +3
cs.CVcs.AIcs.CLarXiv:2308.16911v32023
Look Back to Reason Forward: Revisitable Memory for Long-Context LLM Agents
Yaorui Shi, Yuxin Chen, Siyuan Wang +5
cs.CLcs.AIarXiv:2509.23040v52025
The Death of Schema Linking? Text-to-SQL in the Age of Well-Reasoned Language Models
Karime Maamari, Fadhil Abubaker, Daniel Jaroslawicz +1
cs.CLcs.AIcs.IRarXiv:2408.07702v22024
Training Binary Neural Networks with Real-to-Binary Convolutions
Brais Martinez, Jing Yang, Adrian Bulat +1
cs.CVarXiv:2003.11535v12020
SGD and Hogwild! Convergence Without the Bounded Gradients Assumption
Lam M. Nguyen, Phuong Ha Nguyen, Marten van Dijk +3
math.OCcs.LGstat.MLarXiv:1802.03801v22018
Latent Image Animator: Learning to Animate Images via Latent Space Navigation
Yaohui Wang, Di Yang, Francois Bremond +1
cs.CVarXiv:2203.09043v12022
Toward Convolutional Blind Denoising of Real Photographs
Shi Guo, Zifei Yan, Kai Zhang +2
cs.CVarXiv:1807.04686v22018
M-LVC: Multiple Frames Prediction for Learned Video Compression
Jianping Lin, Dong Liu, Houqiang Li +1
eess.IVcs.CVcs.LGarXiv:2004.10290v12020
MASS: Masked Sequence to Sequence Pre-training for Language Generation
Kaitao Song, Xu Tan, Tao Qin +2
cs.CLcs.AIcs.LGarXiv:1905.02450v52019
Representation of compounds for machine-learning prediction of physical properties
Atsuto Seko, Hiroyuki Hayashi, Keita Nakayama +2
cond-mat.mtrl-sciarXiv:1611.08645v22016
TRIQS/DFTTools: A TRIQS application for ab initio calculations of correlated materials
Markus Aichhorn, Leonid Pourovskii, Priyanka Seth +9
cond-mat.str-elcond-mat.mtrl-sciarXiv:1511.01302v32015
Dynamic Multi-Objectives Optimization with a Changing Number of Objectives
Renzhi Chen, Ke Li, Xin Yao
cs.NEarXiv:1608.06514v22016
Interpreting Tree Ensembles with inTrees
Houtao Deng
cs.LGstat.MLarXiv:1408.5456v12014
Polygenic Modeling with Bayesian Sparse Linear Mixed Models
Xiang Zhou, Peter Carbonetto, Matthew Stephens
q-bio.QMq-bio.GNstat.AParXiv:1209.1341v22012
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning
Yujia Qin, Yankai Lin, Ryuichi Takanobu +6
cs.CLcs.AIarXiv:2012.15022v22020
cpSGD: Communication-efficient and differentially-private distributed SGD
Naman Agarwal, Ananda Theertha Suresh, Felix Yu +2
stat.MLcs.CRcs.LGarXiv:1805.10559v12018
Optimize TSK Fuzzy Systems for Regression Problems: Mini-Batch Gradient Descent with Regularization, DropRule and AdaBound (MBGD-RDA)
Dongrui Wu, Ye Yuan, Yihua Tan
cs.LGcs.AIcs.NEarXiv:1903.10951v42019
Transferable Semantic Augmentation for Domain Adaptation
Shuang Li, Mixue Xie, Kaixiong Gong +3
cs.CVarXiv:2103.12562v12021
Multi-Scale Convolutional Neural Networks for Time Series Classification
Zhicheng Cui, Wenlin Chen, Yixin Chen
cs.CVarXiv:1603.06995v42016
RiskOracle: A Minute-level Citywide Traffic Accident Forecasting Framework
Zhengyang Zhou, Yang Wang, Xike Xie +2
cs.AIeess.SParXiv:2003.00819v12020
AnyLoc: Towards Universal Visual Place Recognition
Nikhil Keetha, Avneesh Mishra, Jay Karhade +4
cs.CVcs.AIcs.ROarXiv:2308.00688v22023
GPT-NeoX-20B: An Open-Source Autoregressive Language Model
Sid Black, Stella Biderman, Eric Hallahan +14
cs.CLarXiv:2204.06745v12022
"How do I fool you?": Manipulating User Trust via Misleading Black Box Explanations
Himabindu Lakkaraju, Osbert Bastani
cs.AIarXiv:1911.06473v12019
Operation-Aware Soft Channel Pruning using Differentiable Masks
Minsoo Kang, Bohyung Han
cs.LGcs.CVstat.MLarXiv:2007.03938v22020
Negative emotions boost users activity at BBC Forum
Anna Chmiel, Pawel Sobkowicz, Julian Sienkiewicz +4
cs.HCphysics.soc-pharXiv:1011.5459v32010
Network Representation Learning: A Survey
Daokun Zhang, Jie Yin, Xingquan Zhu +1
cs.SIcs.LGstat.MLarXiv:1801.05852v32017
Improving Data Efficiency via Curating LLM-Driven Rating Systems
Jinlong Pang, Jiaheng Wei, Ankit Parag Shah +6
cs.CLcs.AIarXiv:2410.10877v22024
ClipCap: CLIP Prefix for Image Captioning
Ron Mokady, Amir Hertz, Amit H. Bermano
cs.CVarXiv:2111.09734v12021
KnowU-Bench: Towards Interactive, Proactive, and Personalized Mobile Agent Evaluation
Tongbo Chen, Zhengxi Lu, Zhan Xu +13
cs.AIarXiv:2604.08455v12026
Multi-Task Learning for Mental Health using Social Media Text
Adrian Benton, Margaret Mitchell, Dirk Hovy
cs.CLarXiv:1712.03538v12017
Can Neural Networks Learn by Experimenting on Themselves? Self-Interventional Learning from Functional Consequences to Predictive Self-Knowledge
Michał Tomaszewski
cs.LGarXiv:2608.14894v12026
Identity-Duplication Auditing in National-Scale Neuroimaging Repositories
Jiheng Li, Michael E. Kim, Trent M. Schwartz +19
cs.CVarXiv:2610.09614v12026

Every paper with a summary

Latent-WAM: Latent World Action Modeling for End-to-End Autonomous Driving

A Survey of Contextual Optimization Methods for Decision Making under Uncertainty

SIEVE: Structure-Aware Data Selection for Imitation Learning with VLA Models

Attribute2Image: Conditional Image Generation from Visual Attributes

Pre-Training BERT on Arabic Tweets: Practical Considerations

FuseChat: Knowledge Fusion of Chat Models

Privacy-preserving and Efficient Aggregation based on Blockchain for Power Grid Communications in Smart Communities

On the Fundamental Tradeoff of Integrated Sensing and Communications Under Gaussian Channels

Adversarial Example Defenses: Ensembles of Weak Defenses are not Strong

Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism

Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark

MemoryLLM: Plug-n-Play Interpretable Feed-Forward Memory for Transformers

Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling

Locally Differentially Private Heavy Hitter Identification

CTAP: Complementary Temporal Action Proposal Generation

Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

Lifelong Learning for Sentiment Classification

Learning to Optimize Neural Nets

Polymer Informatics with Multi-Task Learning

Recurrent Neural Network Wave Functions

Lattice Strategies for the Dirty Multiple Access Channel

Anti-de Sitter Space from Optimization of Path Integrals in Conformal Field Theories

The Open-Strategy Dictator Game: Cooperation Under Mutual Transparency

VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning

Improving Receiver Performance of Diffusive Molecular Communication with Enzymes

dInfer: An Efficient Inference Framework for Diffusion Language Models

Mini-Omni2: Towards Open-source GPT-4o with Vision, Speech and Duplex Capabilities

NaviDC-OCR: Navigating Document Parsing Across Digital and Camera-Captured Documents

PointLLM: Empowering Large Language Models to Understand Point Clouds

Look Back to Reason Forward: Revisitable Memory for Long-Context LLM Agents

The Death of Schema Linking? Text-to-SQL in the Age of Well-Reasoned Language Models

Training Binary Neural Networks with Real-to-Binary Convolutions

SGD and Hogwild! Convergence Without the Bounded Gradients Assumption

Latent Image Animator: Learning to Animate Images via Latent Space Navigation

Toward Convolutional Blind Denoising of Real Photographs

M-LVC: Multiple Frames Prediction for Learned Video Compression

MASS: Masked Sequence to Sequence Pre-training for Language Generation

Representation of compounds for machine-learning prediction of physical properties

TRIQS/DFTTools: A TRIQS application for ab initio calculations of correlated materials

Dynamic Multi-Objectives Optimization with a Changing Number of Objectives

Interpreting Tree Ensembles with inTrees

Polygenic Modeling with Bayesian Sparse Linear Mixed Models

ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning

cpSGD: Communication-efficient and differentially-private distributed SGD

Optimize TSK Fuzzy Systems for Regression Problems: Mini-Batch Gradient Descent with Regularization, DropRule and AdaBound (MBGD-RDA)

Transferable Semantic Augmentation for Domain Adaptation

Multi-Scale Convolutional Neural Networks for Time Series Classification

RiskOracle: A Minute-level Citywide Traffic Accident Forecasting Framework

AnyLoc: Towards Universal Visual Place Recognition

GPT-NeoX-20B: An Open-Source Autoregressive Language Model

"How do I fool you?": Manipulating User Trust via Misleading Black Box Explanations

Operation-Aware Soft Channel Pruning using Differentiable Masks

Negative emotions boost users activity at BBC Forum

Network Representation Learning: A Survey

Improving Data Efficiency via Curating LLM-Driven Rating Systems

ClipCap: CLIP Prefix for Image Captioning

KnowU-Bench: Towards Interactive, Proactive, and Personalized Mobile Agent Evaluation

Multi-Task Learning for Mental Health using Social Media Text

Can Neural Networks Learn by Experimenting on Themselves? Self-Interventional Learning from Functional Consequences to Predictive Self-Knowledge

Identity-Duplication Auditing in National-Scale Neuroimaging Repositories