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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21,961 to 22,020 of 61,306

Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez +1
stat.MLcs.LGarXiv:1610.08452v22016
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
Itay Hubara, Matthieu Courbariaux, Daniel Soudry +2
cs.NEcs.LGarXiv:1609.07061v12016
Stealing Machine Learning Models via Prediction APIs
Florian Tramèr, Fan Zhang, Ari Juels +2
cs.CRcs.LGstat.MLarXiv:1609.02943v22016
Deep Learning the City : Quantifying Urban Perception At A Global Scale
Abhimanyu Dubey, Nikhil Naik, Devi Parikh +2
cs.CVarXiv:1608.01769v22016
Stop-and-Stare: Optimal Sampling Algorithms for Viral Marketing in Billion-scale Networks
Hung T. Nguyen, My T. Thai, Thang N. Dinh
cs.SIcs.DSphysics.soc-pharXiv:1605.07990v32016
Distributionally Robust Stochastic Optimization with Wasserstein Distance
Rui Gao, Anton J. Kleywegt
math.OCarXiv:1604.02199v32016
Data Programming: Creating Large Training Sets, Quickly
Alexander Ratner, Christopher De Sa, Sen Wu +2
stat.MLcs.AIcs.LGarXiv:1605.07723v32016
Quantifying Distributional Model Risk via Optimal Transport
Jose Blanchet, Karthyek R. A. Murthy
math.PRmath.STarXiv:1604.01446v22016
Thought Anchors: Which LLM Reasoning Steps Matter?
Paul C. Bogdan, Uzay Macar, Neel Nanda +1
cs.LGcs.AIcs.CLarXiv:2506.19143v42025
Dynamic temperature selection for parallel-tempering in Markov chain Monte Carlo simulations
Will Vousden, Will M. Farr, Ilya Mandel
astro-ph.IMarXiv:1501.05823v32015
GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks
Tejal Patwardhan, Rachel Dias, Elizabeth Proehl +16
cs.LGcs.AIcs.CYarXiv:2510.04374v12025
Fast Convergence of Regularized Learning in Games
Vasilis Syrgkanis, Alekh Agarwal, Haipeng Luo +1
cs.GTcs.AIcs.LGarXiv:1507.00407v52015
ARISE-RL: Agentic Rubric-Grounded Iterative Self-Evolution with Reinforcement Learning
Fanrui Zhang, Ruixue Ding, Qiang Zhang +13
cs.AIarXiv:2609.01058v12026
Analog-DB: An Agent-First Analog Integrated Circuit Database, From Blocks to Systems
Danial Noori Zadeh, Mohamed B. Elamien
cs.AIcs.AReess.SParXiv:2609.01286v12026
The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning
Xinyu Zhu, Mengzhou Xia, Zhepei Wei +3
cs.CLcs.LGarXiv:2506.01347v22025
Convex Optimization: Algorithms and Complexity
Sébastien Bubeck
math.OCcs.CCcs.LGarXiv:1405.4980v22014
Characterizing the Google Books corpus: Strong limits to inferences of socio-cultural and linguistic evolution
Eitan Adam Pechenick, Christopher M. Danforth, Peter Sheridan Dodds
physics.soc-phcond-mat.stat-mechcs.CLarXiv:1501.00960v42015
Cognition and Reality
F. Tito Arecchi
q-bio.NCarXiv:1802.09627v12017
Unsupervised Anomaly-based Malware Detection using Hardware Features
Adrian Tang, Simha Sethumadhavan, Salvatore Stolfo
cs.CRarXiv:1403.1631v22014
Testing the Manifold Hypothesis
Charles Fefferman, Sanjoy Mitter, Hariharan Narayanan
math.STmath.CAmath.DGarXiv:1310.0425v22013
Estimation of Sparse MIMO Channels with Common Support
Yann Barbotin, Ali Hormati, Sundeep Rangan +1
cs.NIarXiv:1107.1339v12011
Tuned Models of Peer Assessment in MOOCs
Chris Piech, Jonathan Huang, Zhenghao Chen +3
cs.LGcs.AIcs.HCarXiv:1307.2579v12013
The Anatomy of a Scientific Rumor
M. De Domenico, A. Lima, P. Mougel +1
physics.soc-phcond-mat.stat-mechcs.SIarXiv:1301.2952v22013
Towards Effective Structured Context Modeling for Conversational Recommender Systems via Dual-node Monte Carlo Tree Search
Jincheng Zhang, Chen Huang, Wenqiang Lei +2
cs.IRcs.AIarXiv:2609.00618v22026
MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix
Ziyang Ma, Yinghao Ma, Yanqiao Zhu +31
cs.SDcs.CLcs.MMarXiv:2505.13032v12025
The Tower of Babel Meets Web 2.0: User-Generated Content and its Applications in a Multilingual Context
B. Hecht, D. Gergle
cs.CLcs.HCarXiv:1904.01689v12019
On the Theoretical Limitations of Embedding-Based Retrieval
Orion Weller, Michael Boratko, Iftekhar Naim +1
cs.IRcs.CLcs.LGarXiv:2508.21038v22025
Summaries:한국어
Temporal patterns of happiness and information in a global social network: Hedonometrics and Twitter
Peter Sheridan Dodds, Kameron Decker Harris, Isabel M. Kloumann +2
physics.soc-phcs.SIarXiv:1101.5120v52011
Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation
Han Xue, Jieji Ren, Wendi Chen +5
cs.ROcs.AIcs.LGarXiv:2503.02881v32025
Optimized Execution of Business Processes on Blockchain
Luciano García-Bañuelos, Alexander Ponomarev, Marlon Dumas +1
cs.SEarXiv:1612.03152v12016
A discrete geometric approach for simulating the dynamics of thin viscous threads
Basile Audoly, Nicolas Clauvelin, Pierre-Thomas Brun +3
physics.flu-dyncs.CGmath.DGarXiv:1202.4971v22012
Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation
Amit Moryossef, Yoav Goldberg, Ido Dagan
cs.CLcs.AIarXiv:1904.03396v22019
Study of the Two-Dimensional Frustrated J1-J2 Model with Neural Network Quantum States
Kenny Choo, Titus Neupert, Giuseppe Carleo
cond-mat.str-elcond-mat.dis-nnquant-pharXiv:1903.06713v12019
An Axiomatic Theory of Fairness in Network Resource Allocation
Tian Lan, David Kao, Mung Chiang +1
cs.NIcs.PFarXiv:0906.0557v42009
Thompson Sampling for Contextual Bandits with Linear Payoffs
Shipra Agrawal, Navin Goyal
cs.LGcs.DSstat.MLarXiv:1209.3352v42012
Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator
Arnaud Doucet, Michael Pitt, George Deligiannidis +1
stat.MEarXiv:1210.1871v42012
Unified Form Language: A domain-specific language for weak formulations of partial differential equations
Martin S. Alnaes, Anders Logg, Kristian B. Oelgaard +2
cs.MScs.SCmath.NAarXiv:1211.4047v22012
QuTiP 2: A Python framework for the dynamics of open quantum systems
J. R. Johansson, P. D. Nation, Franco Nori
quant-pharXiv:1211.6518v12012
Algorithms for the Split Variational Inequality Problem
Yair Censor, Aviv Gibali, Simeon Reich
math.OCmath.FAarXiv:1009.3780v22010
A Rank-Metric Approach to Error Control in Random Network Coding
Danilo Silva, Frank R. Kschischang, Ralf Kötter
cs.ITarXiv:0711.0708v22007
Adversarial-Learned Loss for Domain Adaptation
Minghao Chen, Shuai Zhao, Haifeng Liu +1
cs.CVcs.LGarXiv:2001.01046v12020
Foundations of SPARQL Query Optimization
Michael Schmidt, Michael Meier, Georg Lausen
cs.DBarXiv:0812.3788v22008
The singular values and vectors of low rank perturbations of large rectangular random matrices
Florent Benaych-Georges, Raj Rao Nadakuditi
math.PRarXiv:1103.2221v22011
Thompson Sampling: An Asymptotically Optimal Finite Time Analysis
Emilie Kaufmann, Nathaniel Korda, Rémi Munos
stat.MLcs.LGarXiv:1205.4217v22012
Confidence-Aware Learning for Deep Neural Networks
Jooyoung Moon, Jihyo Kim, Younghak Shin +1
cs.LGstat.MLarXiv:2007.01458v32020
Analysis of a Random Forests Model
Gérard Biau
stat.MLmath.STarXiv:1005.0208v32010
Integrated Laser Scanning and Image-Based Topology Optimization Techniques for Detection and Quantification of Visible and Subsurface Structural Defects
Mehrdad Shafiei Dizaji, Devin Harris
cs.CVarXiv:2609.01808v12026
FBRT-YOLO: Faster and Better for Real-Time Aerial Image Detection
Yao Xiao, Tingfa Xu, Yu Xin +1
cs.CVarXiv:2504.20670v12025
StateSwap: Probing Support-Elimination Hidden States in Multiple-Choice Questions
Chao Gao, Haijiang Liu, Qiyuan Li +3
cs.CLcs.AIarXiv:2609.01081v12026
Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains
Yi Su, Dian Yu, Linfeng Song +5
cs.CLarXiv:2503.23829v22025
A Text Classification Framework for Simple and Effective Early Depression Detection Over Social Media Streams
Sergio G. Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez
cs.CYcs.CLcs.IRarXiv:1905.08772v22019
ADGNet: Asymmetric Dual-text Guided Network for Infrared Small Target Detection
Tongtong Wang, Mingzhu Xu, Chenglong Yu +3
cs.CVcs.AIarXiv:2609.00853v12026
Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond
Liang Wen, Yunke Cai, Fenrui Xiao +11
cs.CLcs.LGarXiv:2503.10460v42025
Evaluating Commonsense in Pre-trained Language Models
Xuhui Zhou, Yue Zhang, Leyang Cui +1
cs.CLcs.AIarXiv:1911.11931v22019
Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations
Navid Alemi Koohbanani, Balagopal Unnikrishnan, Syed Ali Khurram +2
cs.CVeess.IVarXiv:2008.05571v12020
GMT: General Motion Tracking for Humanoid Whole-Body Control
Zixuan Chen, Mazeyu Ji, Xuxin Cheng +3
cs.ROarXiv:2506.14770v22025
IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography
Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao +4
cs.LGcs.AIcs.CVarXiv:2103.12308v12021
Medical Image Segmentation Using Squeeze-and-Expansion Transformers
Shaohua Li, Xiuchao Sui, Xiangde Luo +3
eess.IVcs.CVarXiv:2105.09511v32021
Galaxy Zoo: Reproducing Galaxy Morphologies Via Machine Learning
Manda Banerji, Ofer Lahav, Chris J. Lintott +10
astro-ph.COastro-ph.GAarXiv:0908.2033v22009
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Guibin Zhang, Hejia Geng, Xiaohang Yu +22
cs.AIcs.CLarXiv:2509.02547v52025

Every paper with a summary

Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment

Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations

Stealing Machine Learning Models via Prediction APIs

Deep Learning the City : Quantifying Urban Perception At A Global Scale

Stop-and-Stare: Optimal Sampling Algorithms for Viral Marketing in Billion-scale Networks

Distributionally Robust Stochastic Optimization with Wasserstein Distance

Data Programming: Creating Large Training Sets, Quickly

Quantifying Distributional Model Risk via Optimal Transport

Thought Anchors: Which LLM Reasoning Steps Matter?

Dynamic temperature selection for parallel-tempering in Markov chain Monte Carlo simulations

GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks

Fast Convergence of Regularized Learning in Games

ARISE-RL: Agentic Rubric-Grounded Iterative Self-Evolution with Reinforcement Learning

Analog-DB: An Agent-First Analog Integrated Circuit Database, From Blocks to Systems

The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning

Convex Optimization: Algorithms and Complexity

Characterizing the Google Books corpus: Strong limits to inferences of socio-cultural and linguistic evolution

Cognition and Reality

Unsupervised Anomaly-based Malware Detection using Hardware Features

Testing the Manifold Hypothesis

Estimation of Sparse MIMO Channels with Common Support

Tuned Models of Peer Assessment in MOOCs

The Anatomy of a Scientific Rumor

Towards Effective Structured Context Modeling for Conversational Recommender Systems via Dual-node Monte Carlo Tree Search

MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

The Tower of Babel Meets Web 2.0: User-Generated Content and its Applications in a Multilingual Context

On the Theoretical Limitations of Embedding-Based Retrieval

Temporal patterns of happiness and information in a global social network: Hedonometrics and Twitter

Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation

Optimized Execution of Business Processes on Blockchain

A discrete geometric approach for simulating the dynamics of thin viscous threads

Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation

Study of the Two-Dimensional Frustrated J1-J2 Model with Neural Network Quantum States

An Axiomatic Theory of Fairness in Network Resource Allocation

Thompson Sampling for Contextual Bandits with Linear Payoffs

Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator

Unified Form Language: A domain-specific language for weak formulations of partial differential equations

QuTiP 2: A Python framework for the dynamics of open quantum systems

Algorithms for the Split Variational Inequality Problem

A Rank-Metric Approach to Error Control in Random Network Coding

Adversarial-Learned Loss for Domain Adaptation

Foundations of SPARQL Query Optimization

The singular values and vectors of low rank perturbations of large rectangular random matrices

Thompson Sampling: An Asymptotically Optimal Finite Time Analysis

Confidence-Aware Learning for Deep Neural Networks

Analysis of a Random Forests Model

Integrated Laser Scanning and Image-Based Topology Optimization Techniques for Detection and Quantification of Visible and Subsurface Structural Defects

FBRT-YOLO: Faster and Better for Real-Time Aerial Image Detection

StateSwap: Probing Support-Elimination Hidden States in Multiple-Choice Questions

Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains

A Text Classification Framework for Simple and Effective Early Depression Detection Over Social Media Streams

ADGNet: Asymmetric Dual-text Guided Network for Infrared Small Target Detection

Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond

Evaluating Commonsense in Pre-trained Language Models

Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations

GMT: General Motion Tracking for Humanoid Whole-Body Control

IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography

Medical Image Segmentation Using Squeeze-and-Expansion Transformers

Galaxy Zoo: Reproducing Galaxy Morphologies Via Machine Learning

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey