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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53,281 to 53,340 of 61,306

VILA: On Pre-training for Visual Language Models
Ji Lin, Hongxu Yin, Wei Ping +7
cs.CVarXiv:2312.07533v42023
Up or Down? Adaptive Rounding for Post-Training Quantization
Markus Nagel, Rana Ali Amjad, Mart van Baalen +2
cs.LGcs.CVstat.MLarXiv:2004.10568v22020
Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation
Albert Gatt, Emiel Krahmer
cs.CLcs.AIcs.NEarXiv:1703.09902v42017
ResMLP: Feedforward networks for image classification with data-efficient training
Hugo Touvron, Piotr Bojanowski, Mathilde Caron +8
cs.CVarXiv:2105.03404v22021
Designing an Encoder for StyleGAN Image Manipulation
Omer Tov, Yuval Alaluf, Yotam Nitzan +2
cs.CVarXiv:2102.02766v12021
PhysRVG: Physics-Aware Unified Reinforcement Learning for Video Generative Models
Qiyuan Zhang, Biao Gong, Shuai Tan +7
cs.CVarXiv:2601.11087v12026
Iterative Bregman Projections for Regularized Transportation Problems
Jean-David Benamou, Guillaume Carlier, Marco Cuturi +2
math.NAmath.AParXiv:1412.5154v12014
High-Resolution Representations for Labeling Pixels and Regions
Ke Sun, Yang Zhao, Borui Jiang +7
cs.CVarXiv:1904.04514v12019
LLMs Encode Their Failures: Predicting Success from Pre-Generation Activations
William Lugoloobi, Thomas Foster, William Bankes +1
cs.CLcs.AIcs.LGarXiv:2602.09924v42026
SemEval-2017 Task 4: Sentiment Analysis in Twitter
Sara Rosenthal, Noura Farra, Preslav Nakov
cs.CLcs.IRcs.LGarXiv:1912.00741v12019
WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning
Zelai Xu, Zhexuan Xu, Ruize Zhang +7
cs.AIcs.LGcs.MAarXiv:2602.04634v32026
Kernel Mean Embedding of Distributions: A Review and Beyond
Krikamol Muandet, Kenji Fukumizu, Bharath Sriperumbudur +1
stat.MLcs.LGarXiv:1605.09522v42016
Crowdsourcing Multiple Choice Science Questions
Johannes Welbl, Nelson F. Liu, Matt Gardner
cs.HCcs.AIcs.CLarXiv:1707.06209v12017
Length-Unbiased Sequence Policy Optimization: Revealing and Controlling Response Length Variation in RLVR
Fanfan Liu, Youyang Yin, Peng Shi +3
cs.CLarXiv:2602.05261v12026
Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning
Xun Wang, Xintong Han, Weilin Huang +2
cs.CVarXiv:1904.06627v32019
Stable Velocity: A Variance Perspective on Flow Matching
Donglin Yang, Yongxing Zhang, Xin Yu +5
cs.CVarXiv:2602.05435v22026
Pseudo Numerical Methods for Diffusion Models on Manifolds
Luping Liu, Yi Ren, Zhijie Lin +1
cs.CVcs.LGmath.NAarXiv:2202.09778v22022
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge
Oriol Vinyals, Alexander Toshev, Samy Bengio +1
cs.CVarXiv:1609.06647v12016
VideoWorld 2: Learning Transferable Knowledge from Real-world Videos
Zhongwei Ren, Yunchao Wei, Xiao Yu +5
cs.CVarXiv:2602.10102v12026
Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators
Yann Dubois, Balázs Galambosi, Percy Liang +1
cs.LGcs.AIcs.CLarXiv:2404.04475v22024
Same Agent, Different Answers: A Repeat-Aware Audit of Corpus-Induced Answer Churn in Retrieval-Augmented QA
Jingjie Ning, Xueqi Li
cs.IRcs.CLarXiv:2608.22856v12026
A White Paper on Neural Network Quantization
Markus Nagel, Marios Fournarakis, Rana Ali Amjad +3
cs.LGcs.AIcs.CVarXiv:2106.08295v12021
LookaheadKV: Fast and Accurate KV Cache Eviction by Glimpsing into the Future without Generation
Jinwoo Ahn, Ingyu Seong, Akhil Kedia +4
cs.LGcs.AIarXiv:2603.10899v12026
Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering
Tao Lu, Mulin Yu, Linning Xu +4
cs.CVarXiv:2312.00109v12023
Temporal Pattern Attention for Multivariate Time Series Forecasting
Shun-Yao Shih, Fan-Keng Sun, Hung-yi Lee
cs.LGcs.CLstat.MLarXiv:1809.04206v32018
BLOCKBENCH: A Framework for Analyzing Private Blockchains
Tien Tuan Anh Dinh, Ji Wang, Gang Chen +3
cs.DBcs.CRcs.DCarXiv:1703.04057v12017
Offline Reinforcement Learning as One Big Sequence Modeling Problem
Michael Janner, Qiyang Li, Sergey Levine
cs.LGcs.AIarXiv:2106.02039v42021
Rethinking the Value of Agent-Generated Tests for LLM-Based Software Engineering Agents
Zhi Chen, Zhensu Sun, Yuling Shi +4
cs.SEcs.AIarXiv:2602.07900v22026
Hypergraph Convolution and Hypergraph Attention
Song Bai, Feihu Zhang, Philip H. S. Torr
cs.LGcs.CVstat.MLarXiv:1901.08150v22019
Scaling Vision Transformers to 22 Billion Parameters
Mostafa Dehghani, Josip Djolonga, Basil Mustafa +39
cs.CVcs.AIcs.LGarXiv:2302.05442v12023
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
eess.IVcs.CVcs.LGarXiv:2003.13815v32020
Differentiable Convex Optimization Layers
Akshay Agrawal, Brandon Amos, Shane Barratt +3
cs.LGmath.OCstat.MLarXiv:1910.12430v12019
Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality
Nitay Calderon, Eyal Ben-David, Zorik Gekhman +2
cs.CLcs.AIarXiv:2602.14080v22026
Metrics for Explainable AI: Challenges and Prospects
Robert R. Hoffman, Shane T. Mueller, Gary Klein +1
cs.AIarXiv:1812.04608v22018
Instruction Tuning for Large Language Models: A Survey
Shengyu Zhang, Linfeng Dong, Xiaoya Li +8
cs.CLcs.AIcs.LGarXiv:2308.10792v102023
A Survey on Deep Semi-supervised Learning
Xiangli Yang, Zixing Song, Irwin King +1
cs.LGarXiv:2103.00550v22021
OmniStream: Mastering Perception, Reconstruction and Action in Continuous Streams
Yibin Yan, Jilan Xu, Shangzhe Di +2
cs.CVarXiv:2603.12265v12026
Sanity Checks for Sparse Autoencoders: Do SAEs Beat Random Baselines?
Anton Korznikov, Andrey Galichin, Alexey Dontsov +3
cs.LGarXiv:2602.14111v12026
Approximate Bayesian Computational methods
Jean-Michel Marin, Pierre Pudlo, Christian P. Robert +1
stat.COarXiv:1101.0955v22011
The Creation and Detection of Deepfakes: A Survey
Yisroel Mirsky, Wenke Lee
cs.CVcs.LGeess.IVarXiv:2004.11138v32020
The map equation
M. Rosvall, D. Axelsson, C. T. Bergstrom
physics.soc-pharXiv:0906.1405v22009
Human Motion Trajectory Prediction: A Survey
Andrey Rudenko, Luigi Palmieri, Michael Herman +3
cs.ROcs.CVcs.LGarXiv:1905.06113v32019
Watching, Reasoning, and Searching: A Video Deep Research Benchmark on Open Web for Agentic Video Reasoning
Chengwen Liu, Xiaomin Yu, Zhuoyue Chang +15
cs.CVcs.AIarXiv:2601.06943v22026
TextBoxes: A Fast Text Detector with a Single Deep Neural Network
Minghui Liao, Baoguang Shi, Xiang Bai +2
cs.CVarXiv:1611.06779v12016
It Takes Two: A Duet of Periodicity and Directionality for Burst Flicker Removal
Lishen Qu, Shihao Zhou, Jie Liang +3
cs.CVarXiv:2603.22794v12026
CityPersons: A Diverse Dataset for Pedestrian Detection
Shanshan Zhang, Rodrigo Benenson, Bernt Schiele
cs.CVarXiv:1702.05693v12017
UMEM: Unified Memory Extraction and Management Framework for Generalizable Memory
Yongshi Ye, Hui Jiang, Feihu Jiang +7
cs.CLarXiv:2602.10652v12026
MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching
Changle Qu, Sunhao Dai, Hengyi Cai +3
cs.CLcs.AIarXiv:2601.10712v12026
New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution
Firuz Kamalov, David Santandreu Calong, Ikhlaas Gurrib
cs.CYarXiv:2305.18303v22023
Agentic-R: Learning to Retrieve for Agentic Search
Wenhan Liu, Xinyu Ma, Yutao Zhu +4
cs.IRcs.CLarXiv:2601.11888v12026
Bottom-up Object Detection by Grouping Extreme and Center Points
Xingyi Zhou, Jiacheng Zhuo, Philipp Krähenbühl
cs.CVarXiv:1901.08043v32019
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
Maziar Raissi
stat.MLcs.LGmath.AParXiv:1801.06637v12018
Generalizing to Unseen Domains via Adversarial Data Augmentation
Riccardo Volpi, Hongseok Namkoong, Ozan Sener +3
cs.CVarXiv:1805.12018v22018
Feature Selective Anchor-Free Module for Single-Shot Object Detection
Chenchen Zhu, Yihui He, Marios Savvides
cs.CVarXiv:1903.00621v12019
SoulX-Singer: Towards High-Quality Zero-Shot Singing Voice Synthesis
Jiale Qian, Hao Meng, Tian Zheng +17
eess.AScs.AIcs.SDarXiv:2602.07803v22026
Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal
Jian Sun, Wenfei Cao, Zongben Xu +1
cs.CVarXiv:1503.00593v32015
Explainability for Large Language Models: A Survey
Haiyan Zhao, Hanjie Chen, Fan Yang +6
cs.CLcs.AIcs.LGarXiv:2309.01029v32023
Bayesian Nonparametric Federated Learning of Neural Networks
Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh +3
stat.MLcs.LGarXiv:1905.12022v12019
PyOD: A Python Toolbox for Scalable Outlier Detection
Yue Zhao, Zain Nasrullah, Zheng Li
cs.LGcs.IRstat.MLarXiv:1901.01588v22019
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning
Zhibo Wang, Mengkai Song, Zhifei Zhang +3
cs.LGcs.CRcs.CVarXiv:1812.00535v32018

Every paper with a summary

VILA: On Pre-training for Visual Language Models

Up or Down? Adaptive Rounding for Post-Training Quantization

Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation

ResMLP: Feedforward networks for image classification with data-efficient training

Designing an Encoder for StyleGAN Image Manipulation

PhysRVG: Physics-Aware Unified Reinforcement Learning for Video Generative Models

Iterative Bregman Projections for Regularized Transportation Problems

High-Resolution Representations for Labeling Pixels and Regions

LLMs Encode Their Failures: Predicting Success from Pre-Generation Activations

SemEval-2017 Task 4: Sentiment Analysis in Twitter

WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning

Kernel Mean Embedding of Distributions: A Review and Beyond

Crowdsourcing Multiple Choice Science Questions

Length-Unbiased Sequence Policy Optimization: Revealing and Controlling Response Length Variation in RLVR

Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning

Stable Velocity: A Variance Perspective on Flow Matching

Pseudo Numerical Methods for Diffusion Models on Manifolds

Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge

VideoWorld 2: Learning Transferable Knowledge from Real-world Videos

Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators

Same Agent, Different Answers: A Repeat-Aware Audit of Corpus-Induced Answer Churn in Retrieval-Augmented QA

A White Paper on Neural Network Quantization

LookaheadKV: Fast and Accurate KV Cache Eviction by Glimpsing into the Future without Generation

Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering

Temporal Pattern Attention for Multivariate Time Series Forecasting

BLOCKBENCH: A Framework for Analyzing Private Blockchains

Offline Reinforcement Learning as One Big Sequence Modeling Problem

Rethinking the Value of Agent-Generated Tests for LLM-Based Software Engineering Agents

Hypergraph Convolution and Hypergraph Attention

Scaling Vision Transformers to 22 Billion Parameters

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

Differentiable Convex Optimization Layers

Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality

Metrics for Explainable AI: Challenges and Prospects

Instruction Tuning for Large Language Models: A Survey

A Survey on Deep Semi-supervised Learning

OmniStream: Mastering Perception, Reconstruction and Action in Continuous Streams

Sanity Checks for Sparse Autoencoders: Do SAEs Beat Random Baselines?

Approximate Bayesian Computational methods

The Creation and Detection of Deepfakes: A Survey

The map equation

Human Motion Trajectory Prediction: A Survey

Watching, Reasoning, and Searching: A Video Deep Research Benchmark on Open Web for Agentic Video Reasoning

TextBoxes: A Fast Text Detector with a Single Deep Neural Network

It Takes Two: A Duet of Periodicity and Directionality for Burst Flicker Removal

CityPersons: A Diverse Dataset for Pedestrian Detection

UMEM: Unified Memory Extraction and Management Framework for Generalizable Memory

MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching

New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution

Agentic-R: Learning to Retrieve for Agentic Search

Bottom-up Object Detection by Grouping Extreme and Center Points

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

Generalizing to Unseen Domains via Adversarial Data Augmentation

Feature Selective Anchor-Free Module for Single-Shot Object Detection

SoulX-Singer: Towards High-Quality Zero-Shot Singing Voice Synthesis

Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal

Explainability for Large Language Models: A Survey

Bayesian Nonparametric Federated Learning of Neural Networks

PyOD: A Python Toolbox for Scalable Outlier Detection

Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning