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.

Search paper metadata (including unsummarized papers)

58,681 to 58,740 of 117,639

A Dependable Hybrid Machine Learning Model for Network Intrusion Detection
Md. Alamin Talukder, Khondokar Fida Hasan, Md. Manowarul Islam +5
cs.CRcs.LGarXiv:2212.04546v22022
Flexible quantum private queries based on quantum key distribution
Fei Gao, Bin Liu, Qiao-Yan Wen +1
quant-pharXiv:1111.1511v12011
Agnostic Active Learning Without Constraints
Alina Beygelzimer, Daniel Hsu, John Langford +1
cs.LGarXiv:1006.2588v12010
Structured Prediction as Translation between Augmented Natural Languages
Giovanni Paolini, Ben Athiwaratkun, Jason Krone +6
cs.LGcs.CLarXiv:2101.05779v32021
Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review
Daniel Rosendo, Alexandru Costan, Patrick Valduriez +1
cs.LGcs.DCarXiv:2205.01081v12022
Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders
Andrew Drozdov, Pat Verga, Mohit Yadav +2
cs.CLarXiv:1904.02142v22019
Bayesian additive regression trees and the General BART model
Yaoyuan Vincent Tan, Jason Roy
stat.AParXiv:1901.07504v12019
PyCBC Inference: A Python-based parameter estimation toolkit for compact binary coalescence signals
C. M. Biwer, Collin D. Capano, Soumi De +4
astro-ph.IMastro-ph.GAgr-qcarXiv:1807.10312v12018
Fast Direction-Conditioned Reachability for Motion Prediction Under Model Uncertainty
Hrishav Das, Melkior Ornik
cs.ROcs.SYeess.SYarXiv:2609.27077v12026
Inferring change points in the COVID-19 spreading reveals the effectiveness of interventions
Jonas Dehning, Johannes Zierenberg, F. Paul Spitzner +4
q-bio.PEarXiv:2004.01105v32020
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
Ming Li, Yanhong Li, Tianyi Zhou
cs.CLcs.AIcs.LGarXiv:2410.23743v22024
Habitat-GS: A High-Fidelity Navigation Simulator with Dynamic Gaussian Splatting
Ziyuan Xia, Jingyi Xu, Chong Cui +9
cs.ROcs.CVarXiv:2604.12626v12026
NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction
Xiaoshuai Zhang, Sai Bi, Kalyan Sunkavalli +2
cs.CVcs.GRarXiv:2203.11283v12022
Communication in a Poisson Field of Interferers -- Part I: Interference Distribution and Error Probability
Pedro C. Pinto, Moe Z. Win
cs.ITcs.NImath.ITarXiv:1001.4519v12010
Mesh Graphormer
Kevin Lin, Lijuan Wang, Zicheng Liu
cs.CVarXiv:2104.00272v22021
DC-VideoGen: Efficient Video Generation with Deep Compression Video Autoencoder
Junyu Chen, Wenkun He, Yuchao Gu +12
cs.CVcs.AIarXiv:2509.25182v12025
Fast Matrix Factorization for Online Recommendation with Implicit Feedback
Xiangnan He, Hanwang Zhang, Min-Yen Kan +1
cs.IRarXiv:1708.05024v12017
Deep-Learning-Based Image Segmentation Integrated with Optical Microscopy for Automatically Searching for Two-Dimensional Materials
Satoru Masubuchi, Eisuke Watanabe, Yuta Seo +5
eess.IVcond-mat.mtrl-sciarXiv:1910.12750v12019
Fast matrix multiplication via recursive $\langle$ 4x4x4:48 $\rangle$ algorithms into practice
Jean-Guillaume Dumas, Clément Pernet, Alexandre Sedoglavic +2
cs.SCarXiv:2609.12027v22026
Measuring Model Biases in the Absence of Ground Truth
Osman Aka, Ken Burke, Alex Bäuerle +2
cs.CVcs.LGarXiv:2103.03417v32021
Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization
Alekh Agarwal, Animashree Anandkumar, Prateek Jain +1
cs.LGmath.OCstat.MLarXiv:1310.7991v22013
Stratospheric Aerosol Injection as a Deep Reinforcement Learning Problem
Christian Schroeder de Witt, Thomas Hornigold
cs.LGphysics.ao-phstat.MLarXiv:1905.07366v12019
Llama-Mobile: Efficient 2.7-Bit Quantization of VLMs
Luka Ribar, Jeevan Bhoot, Douglas Orr
cs.CVcs.LGarXiv:2608.21134v12026
Delta Attention Residuals
Cheng Luo, Zefan Cai, Junjie Hu
cs.LGcs.CVarXiv:2605.18855v12026
Summaries:한국어
Masked Generative Distillation
Zhendong Yang, Zhe Li, Mingqi Shao +3
cs.CVarXiv:2205.01529v22022
SegDiff: Image Segmentation with Diffusion Probabilistic Models
Tomer Amit, Tal Shaharbany, Eliya Nachmani +1
cs.CVcs.AIcs.LGarXiv:2112.00390v32021
A small world of citations? The influence of collaboration networks on citation practices
Matthew L. Wallace, Vincent Larivière, Yves Gingras
physics.soc-phcs.DLcs.SIarXiv:1107.5469v12011
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
Ben Athiwaratkun, Marc Finzi, Pavel Izmailov +1
cs.LGcs.AIcs.CVarXiv:1806.05594v32018
Large Language Models for Requirements Engineering: A Cross-Task Empirical Evaluation
Jacek Dąbrowski, Manjeshwar Aniruddh Mallya, Alessio Ferrari +2
cs.SEarXiv:2608.21531v12026
Equilibria of Dynamic Games with Many Players: Existence, Approximation, and Market Structure
Sachin Adlakha, Ramesh Johari, Gabriel Y. Weintraub
cs.GTarXiv:1011.5537v52010
The Lighthouse of Language: Enhancing LLM Agents via Critique-Guided Improvement
Ruihan Yang, Fanghua Ye, Jian Li +5
cs.CLcs.AIarXiv:2503.16024v22025
Multivariate Time Series Classification with WEASEL+MUSE
Patrick Schäfer, Ulf Leser
cs.LGarXiv:1711.11343v42017
iDLG: Improved Deep Leakage from Gradients
Bo Zhao, Konda Reddy Mopuri, Hakan Bilen
cs.LGstat.MLarXiv:2001.02610v12020
Simulation-Driven Vehicular Traffic Data Augmentation: Extending Sensor Coverage Through Virtual Sensing
Davide Andrea Guastella, Eladio Montero Porras, Evangelos Pournaras +1
cs.AIarXiv:2608.13993v12026
On Releasing Annotator-Level Labels and Information in Datasets
Vinodkumar Prabhakaran, Aida Mostafazadeh Davani, Mark Díaz
cs.CLcs.CYarXiv:2110.05699v12021
Foundations of data imbalance and solutions for a data democracy
Ajay Kulkarni, Deri Chong, Feras A. Batarseh
cs.LGcs.AIstat.MLarXiv:2108.00071v12021
MemSeg: A semi-supervised method for image surface defect detection using differences and commonalities
Minghui Yang, Peng Wu, Jing Liu +1
cs.CVarXiv:2205.00908v12022
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting
Xu Liu, Yutong Xia, Yuxuan Liang +7
cs.LGarXiv:2306.08259v22023
Behavioral Economics of AI: LLM Biases and Corrections
Pietro Bini, Lin William Cong, Xing Huang +1
econ.GNcs.AIarXiv:2602.09362v12026
Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping
Jesse Dodge, Gabriel Ilharco, Roy Schwartz +3
cs.CLcs.LGarXiv:2002.06305v12020
ERGO: Entropy-guided Resetting for Generation Optimization in Multi-turn Language Models
Haziq Mohammad Khalid, Athikash Jeyaganthan, Timothy Do +4
cs.CLarXiv:2510.14077v12025
Integrated Energy Exchange Scheduling for Multi-microgrid System with Electric Vehicles
Dai Wang, Xiaohong Guan, Jiang Wu +3
math.OCarXiv:1602.07425v12016
Masked Discrimination for Self-Supervised Learning on Point Clouds
Haotian Liu, Mu Cai, Yong Jae Lee
cs.CVarXiv:2203.11183v22022
Data-Driven Collective Variables for Enhanced Sampling
Luigi Bonati, Valerio Rizzi, Michele Parrinello
physics.chem-phphysics.comp-pharXiv:2002.06562v22020
ChatHaruhi: Reviving Anime Character in Reality via Large Language Model
Cheng Li, Ziang Leng, Chenxi Yan +11
cs.CLcs.HCarXiv:2308.09597v12023
The Graphical Lasso: New Insights and Alternatives
Rahul Mazumder, Trevor Hastie
stat.MLcs.LGarXiv:1111.5479v22011
Disproving the normal graph conjecture
Ararat Harutyunyan, Lucas Pastor, Stéphan Thomassé
math.COarXiv:1508.05487v82015
Evaluating and Understanding the Robustness of Adversarial Logit Pairing
Logan Engstrom, Andrew Ilyas, Anish Athalye
stat.MLcs.CRcs.CVarXiv:1807.10272v22018
Optimal Base Station Antenna Downtilt in Downlink Cellular Networks
Junnan Yang, Ming Ding, Guoqiang Mao +3
cs.NIcs.ITmath.ITarXiv:1802.07479v12018
Hybrid-FL for Wireless Networks: Cooperative Learning Mechanism Using Non-IID Data
Naoya Yoshida, Takayuki Nishio, Masahiro Morikura +2
cs.LGcs.DCstat.MLarXiv:1905.07210v32019
RobustFed: A Truth Inference Approach for Robust Federated Learning
Farnaz Tahmasebian, Jian Lou, Li Xiong
cs.LGcs.AIcs.DCarXiv:2107.08402v12021
Massive Access for Future Wireless Communication Systems
Yongpeng Wu, Xiqi Gao, Shidong Zhou +3
cs.ITarXiv:1910.12678v52019
Quantum Random Number Generators
Miguel Herrero-Collantes, Juan Carlos Garcia-Escartin
quant-pharXiv:1604.03304v22016
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning
Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine
cs.AIcs.LGcs.ROarXiv:1906.05253v12019
CHSR-RRF: A curriculum-gated hybrid retrieval framework with reciprocal rank fusion and leakage-aware benchmarking for educational RAG
Terence Ateya, Zavier Ndum Ndum, Jicheng Fu +1
cs.IRarXiv:2609.02913v12026
VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions
Oytun Ulutan, A S M Iftekhar, B. S. Manjunath
cs.CVarXiv:2003.05541v12020
You Only Look at Screens: Multimodal Chain-of-Action Agents
Zhuosheng Zhang, Aston Zhang
cs.CLcs.AIcs.HCarXiv:2309.11436v42023
Constraint Preserving AFD-WENO Schemes for Relativistic Hydrodynamics with General Equations of State
Pramodit Mishra, Shubham Upadhyay, Rakesh Kumar +1
math.NAarXiv:2608.29654v12026
Summaries:한국어
Behavior Regularized Offline Reinforcement Learning
Yifan Wu, George Tucker, Ofir Nachum
cs.LGcs.AIstat.MLarXiv:1911.11361v12019
Periscope: Extending Frozen Language Models Beyond Their Context Window
Mohamed Eltahir, Anas Obayd, Raed Rashid +5
cs.CLcs.IRcs.LGarXiv:2610.04047v12026

Every paper with a summary

A Dependable Hybrid Machine Learning Model for Network Intrusion Detection

Flexible quantum private queries based on quantum key distribution

Agnostic Active Learning Without Constraints

Structured Prediction as Translation between Augmented Natural Languages

Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review

Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders

Bayesian additive regression trees and the General BART model

PyCBC Inference: A Python-based parameter estimation toolkit for compact binary coalescence signals

Fast Direction-Conditioned Reachability for Motion Prediction Under Model Uncertainty

Inferring change points in the COVID-19 spreading reveals the effectiveness of interventions

What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective

Habitat-GS: A High-Fidelity Navigation Simulator with Dynamic Gaussian Splatting

NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction

Communication in a Poisson Field of Interferers -- Part I: Interference Distribution and Error Probability

Mesh Graphormer

DC-VideoGen: Efficient Video Generation with Deep Compression Video Autoencoder

Fast Matrix Factorization for Online Recommendation with Implicit Feedback

Deep-Learning-Based Image Segmentation Integrated with Optical Microscopy for Automatically Searching for Two-Dimensional Materials

Fast matrix multiplication via recursive $\langle$ 4x4x4:48 $\rangle$ algorithms into practice

Measuring Model Biases in the Absence of Ground Truth

Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization

Stratospheric Aerosol Injection as a Deep Reinforcement Learning Problem

Llama-Mobile: Efficient 2.7-Bit Quantization of VLMs

Delta Attention Residuals

Masked Generative Distillation

SegDiff: Image Segmentation with Diffusion Probabilistic Models

A small world of citations? The influence of collaboration networks on citation practices

There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average

Large Language Models for Requirements Engineering: A Cross-Task Empirical Evaluation

Equilibria of Dynamic Games with Many Players: Existence, Approximation, and Market Structure

The Lighthouse of Language: Enhancing LLM Agents via Critique-Guided Improvement

Multivariate Time Series Classification with WEASEL+MUSE

iDLG: Improved Deep Leakage from Gradients

Simulation-Driven Vehicular Traffic Data Augmentation: Extending Sensor Coverage Through Virtual Sensing

On Releasing Annotator-Level Labels and Information in Datasets

Foundations of data imbalance and solutions for a data democracy

MemSeg: A semi-supervised method for image surface defect detection using differences and commonalities

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting

Behavioral Economics of AI: LLM Biases and Corrections

Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping

ERGO: Entropy-guided Resetting for Generation Optimization in Multi-turn Language Models

Integrated Energy Exchange Scheduling for Multi-microgrid System with Electric Vehicles

Masked Discrimination for Self-Supervised Learning on Point Clouds

Data-Driven Collective Variables for Enhanced Sampling

ChatHaruhi: Reviving Anime Character in Reality via Large Language Model

The Graphical Lasso: New Insights and Alternatives

Disproving the normal graph conjecture

Evaluating and Understanding the Robustness of Adversarial Logit Pairing

Optimal Base Station Antenna Downtilt in Downlink Cellular Networks

Hybrid-FL for Wireless Networks: Cooperative Learning Mechanism Using Non-IID Data

RobustFed: A Truth Inference Approach for Robust Federated Learning

Massive Access for Future Wireless Communication Systems

Quantum Random Number Generators

Search on the Replay Buffer: Bridging Planning and Reinforcement Learning

CHSR-RRF: A curriculum-gated hybrid retrieval framework with reciprocal rank fusion and leakage-aware benchmarking for educational RAG

VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions

You Only Look at Screens: Multimodal Chain-of-Action Agents

Constraint Preserving AFD-WENO Schemes for Relativistic Hydrodynamics with General Equations of State

Behavior Regularized Offline Reinforcement Learning

Periscope: Extending Frozen Language Models Beyond Their Context Window