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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65,461 to 65,520 of 104,311

Sapiens2
Rawal Khirodkar, He Wen, Julieta Martinez +3
cs.CVarXiv:2604.21681v12026
Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
Yiyang Zhou, Chenhang Cui, Rafael Rafailov +2
cs.LGcs.CLcs.CVarXiv:2402.11411v12024
Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models
Sina J. Semnani, Jirayu Burapacheep, Arpandeep Khatua +3
cs.CLarXiv:2509.23233v12025
The Homogenizing Effect of Large Language Models on Human Expression and Thought
Zhivar Sourati, Alireza S. Ziabari, Morteza Dehghani
cs.CLarXiv:2508.01491v22025
Skim and Skip: Hierarchical Adaptive Inference for Efficient Multimodal Retrieval
Meng Gao, Yizhen Zhang, Yang Ding +10
cs.IRarXiv:2609.01613v12026
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
Yushun Dong, Ninghao Liu, Brian Jalaian +1
cs.LGarXiv:2108.05233v22021
Gazelle: A Low Latency Framework for Secure Neural Network Inference
Chiraag Juvekar, Vinod Vaikuntanathan, Anantha Chandrakasan
cs.CRarXiv:1801.05507v12018
Age-Based Scheduling Policy for Federated Learning in Mobile Edge Networks
Howard H. Yang, Ahmed Arafa, Tony Q. S. Quek +1
cs.ITeess.SParXiv:1910.14648v12019
Trajectory Design for UAV-Based Internet-of-Things Data Collection: A Deep Reinforcement Learning Approach
Yang Wang, Zhen Gao, Jun Zhang +5
cs.ITcs.LGeess.SParXiv:2107.11015v12021
Fast and accurate AI-based pre-decoders for surface codes
Christopher Chamberland, Jan Olle, Muyuan Li +2
quant-pharXiv:2604.12841v12026
Learning from Suboptimal Demonstration via Self-Supervised Reward Regression
Letian Chen, Rohan Paleja, Matthew Gombolay
cs.ROcs.LGarXiv:2010.11723v32020
Fantastic Generalization Measures and Where to Find Them
Yiding Jiang, Behnam Neyshabur, Hossein Mobahi +2
cs.LGstat.MLarXiv:1912.02178v12019
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
Xiaopeng Yan, Ziliang Chen, Anni Xu +3
cs.CVcs.LGarXiv:1909.13032v22019
Large Growth Happens: Gaussian Elimination with Partial Pivoting on Random Matrices
Daniel A. Spielman, Xifan Yu
math.NAcs.DScs.NAarXiv:2610.08701v12026
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
Esteban Real, Chen Liang, David R. So +1
cs.LGcs.NEstat.MLarXiv:2003.03384v22020
Software Engineering for AI-driven Building Operation
Philipp Zech, Sascha Hammes, Johannes Weninger +2
cs.SEcs.AIarXiv:2608.16237v12026
Fair Algorithms for Clustering
Suman K. Bera, Deeparnab Chakrabarty, Nicolas J. Flores +1
cs.DScs.LGarXiv:1901.02393v22019
Valdi: Value Diffusion World Models
Christopher Lindenberg, Kashyap Chitta
cs.LGcs.AIarXiv:2607.00917v12026
InteractBench: Benchmarking LLMs on Competitive Programming under Unrevealed Information
Jiaze Li, Aocheng Shen, Bing Liu +4
cs.SEcs.AIcs.CLarXiv:2608.29632v12026
PhysBrain 1.5: From Vision-Language Models to Physical Foundation Models
DeepCybo Team, Yu Bin, Haipeng Cao +51
cs.CVcs.ROarXiv:2609.14973v12026
ACE-RTL: When Agentic Context Evolution Meets RTL-Specialized LLMs
Chenhui Deng, Zhongzhi Yu, Guan-Ting Liu +3
cs.ARcs.LGarXiv:2602.10218v22026
Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing
Stefania Sardellitti, Gesualdo Scutari, Sergio Barbarossa
cs.NIcs.ITarXiv:1412.8416v12014
Deep Contextual Video Compression
Jiahao Li, Bin Li, Yan Lu
eess.IVcs.CVcs.MMarXiv:2109.15047v22021
ExpertLongBench: Benchmarking Language Models on Expert-Level Long-Form Generation Tasks with Structured Checklists
Jie Ruan, Inderjeet Nair, Shuyang Cao +14
cs.CLarXiv:2506.01241v32025
A Native-Reference Coordinate Geometry for L2 Pronunciation Deviation Using Self-Supervised Speech Models
Tina Raissi, Nhan Phan, Mikko Kurimo
cs.CLarXiv:2609.28060v12026
User Activity Detection and Channel Estimation for Grant-Free Random Access in LEO Satellite-Enabled Internet-of-Things
Zhaoji Zhang, Ying Li, Chongwen Huang +4
cs.ITeess.SPmath.ITarXiv:2005.09826v12020
Review of Deep Learning
Rong Zhang, Weiping Li, Tong Mo
cs.LGcs.CVcs.NEarXiv:1804.01653v22018
A Theory of Contrastive Learning with Natural Images
Antonio Torralba, Yair Weiss
cs.CVarXiv:2607.07470v12026
FD-VLA: Force-Distilled Vision-Language-Action Model for Contact-Rich Manipulation
Ruiteng Zhao, Wenshuo Wang, Yicheng Ma +4
cs.ROcs.CVarXiv:2602.02142v22026
A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
Jules White, Quchen Fu, Sam Hays +6
cs.SEcs.AIarXiv:2302.11382v12023
Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries
Giulia Fanti, Vasyl Pihur, Úlfar Erlingsson
cs.CRarXiv:1503.01214v12015
Two locked tests of phase-structure features for transition prediction
Abraham Chachamovits
cs.CLarXiv:2609.00335v12026
AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks
Max Ku, Cong Wei, Weiming Ren +2
cs.CVcs.AIcs.MMarXiv:2403.14468v42024
Knowledge Graph Reasoning with Relational Digraph
Yongqi Zhang, Quanming Yao
cs.AIcs.CLarXiv:2108.06040v22021
Diagnostics for Respondent-driven Sampling
Krista J. Gile, Lisa G. Johnston, Matthew J. Salganik
stat.MEstat.AParXiv:1209.6254v12012
Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity
Peng Liao, Kristjan Greenewald, Predrag Klasnja +1
cs.LGcs.AIarXiv:1909.03539v12019
PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference
Xutao Wang, Hanting Chen, Tianyu Guo +1
cs.LGarXiv:2607.13428v12026
Kymatio: Scattering Transforms in Python
Mathieu Andreux, Tomás Angles, Georgios Exarchakis +15
cs.LGcs.CVcs.SDarXiv:1812.11214v32018
On a maximum principle in discretization with spherical harmonics
Arnold Reusken
math.NAarXiv:2610.13540v12026
Improving Large Language Models for Clinical Named Entity Recognition via Prompt Engineering
Yan Hu, Qingyu Chen, Jingcheng Du +9
cs.CLarXiv:2303.16416v32023
Adaptive Multiresolution Diffusion Operators: A Variational Theory on Evolving Multiresolution Spaces
Christian Tantardini, Stig Rune Jensen, Roberto Di Remigio Eikås +1
math.NAcs.NAarXiv:2610.01809v12026
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)
Alex Fang, Gabriel Ilharco, Mitchell Wortsman +4
cs.CVcs.CLcs.LGarXiv:2205.01397v22022
Reconstructing subclonal composition and evolution from whole genome sequencing of tumors
Amit G. Deshwar, Shankar Vembu, Christina K. Yung +3
q-bio.PEcs.LGstat.MLarXiv:1406.7250v32014
Residual Dense Network for Image Restoration
Yulun Zhang, Yapeng Tian, Yu Kong +2
cs.CVarXiv:1812.10477v22018
EnergyStar++: Towards more accurate and explanatory building energy benchmarking
Pandarasamy Arjunan, Kameshwar Poolla, Clayton Miller
stat.APcs.LGeess.SYarXiv:1910.14563v22019
Do as I Do: Dexterous Manipulation Data from Everyday Human Videos
Bhawna Paliwal, Haritheja Etukuru, William Liang +3
cs.ROcs.CVarXiv:2606.19333v12026
Are LLM-based Evaluators Confusing NLG Quality Criteria?
Xinyu Hu, Mingqi Gao, Sen Hu +4
cs.CLarXiv:2402.12055v22024
Spatial-Temporal Person Re-identification
Guangcong Wang, Jianhuang Lai, Peigen Huang +1
cs.CVarXiv:1812.03282v12018
Deep linear neural networks with arbitrary loss: All local minima are global
Thomas Laurent, James von Brecht
cs.LGstat.MLarXiv:1712.01473v22017
DoPE: Denoising Rotary Position Embedding
Jing Xiong, Liyang Fan, Hui Shen +4
cs.CLarXiv:2511.09146v22025
MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering
Shayne Longpre, Yi Lu, Joachim Daiber
cs.CLarXiv:2007.15207v22020
On a Formal Model of Safe and Scalable Self-driving Cars
Shai Shalev-Shwartz, Shaked Shammah, Amnon Shashua
cs.ROcs.AIstat.MLarXiv:1708.06374v62017
Multi-Armed Bandits in Metric Spaces
Robert Kleinberg, Aleksandrs Slivkins, Eli Upfal
cs.DScs.LGarXiv:0809.4882v12008
Discontinuities and hysteresis in quantized average consensus
Francesca Ceragioli, Claudio De Persis, Paolo Frasca
math.OCeess.SYarXiv:1001.2620v42010
AI-Enabled Human Memory Manipulation: Misleading AI-Generated Summaries Distort Human Memory
Mattea Sim, Yael Eiger, Tadayoshi Kohno
cs.CYarXiv:2609.28820v12026
Practical Efficiency of Muon for Pretraining
Essential AI, :, Ishaan Shah +22
cs.LGstat.MLarXiv:2505.02222v42025
Metaplasticity as adaptive gradient preconditioning for incremental learning
Isabelle Aguilar, Zayn Andre Zainal, Omid Kavehei
cs.LGarXiv:2608.14634v12026
Differential Privacy: on the trade-off between Utility and Information Leakage
Mário S. Alvim, Miguel E. Andrés, Konstantinos Chatzikokolakis +2
cs.CRcs.DBcs.ITarXiv:1103.5188v32011
From Learner Behavior to Reusable Skills for Effective and Efficient Learner Simulation
Zijian Chen, Zheng Zhang, Miao Jia +3
cs.AIarXiv:2609.37157v12026
Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting
Chenfeng Xu, Kai Qiu, Jianlong Fu +3
cs.CVarXiv:1907.12428v22019

Every paper with a summary

Sapiens2

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning

Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models

The Homogenizing Effect of Large Language Models on Human Expression and Thought

Skim and Skip: Hierarchical Adaptive Inference for Efficient Multimodal Retrieval

EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks

Gazelle: A Low Latency Framework for Secure Neural Network Inference

Age-Based Scheduling Policy for Federated Learning in Mobile Edge Networks

Trajectory Design for UAV-Based Internet-of-Things Data Collection: A Deep Reinforcement Learning Approach

Fast and accurate AI-based pre-decoders for surface codes

Learning from Suboptimal Demonstration via Self-Supervised Reward Regression

Fantastic Generalization Measures and Where to Find Them

Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning

Large Growth Happens: Gaussian Elimination with Partial Pivoting on Random Matrices

AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

Software Engineering for AI-driven Building Operation

Fair Algorithms for Clustering

Valdi: Value Diffusion World Models

InteractBench: Benchmarking LLMs on Competitive Programming under Unrevealed Information

PhysBrain 1.5: From Vision-Language Models to Physical Foundation Models

ACE-RTL: When Agentic Context Evolution Meets RTL-Specialized LLMs

Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing

Deep Contextual Video Compression

ExpertLongBench: Benchmarking Language Models on Expert-Level Long-Form Generation Tasks with Structured Checklists

A Native-Reference Coordinate Geometry for L2 Pronunciation Deviation Using Self-Supervised Speech Models

User Activity Detection and Channel Estimation for Grant-Free Random Access in LEO Satellite-Enabled Internet-of-Things

Review of Deep Learning

A Theory of Contrastive Learning with Natural Images

FD-VLA: Force-Distilled Vision-Language-Action Model for Contact-Rich Manipulation

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries

Two locked tests of phase-structure features for transition prediction

AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks

Knowledge Graph Reasoning with Relational Digraph

Diagnostics for Respondent-driven Sampling

Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity

PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference

Kymatio: Scattering Transforms in Python

On a maximum principle in discretization with spherical harmonics

Improving Large Language Models for Clinical Named Entity Recognition via Prompt Engineering

Adaptive Multiresolution Diffusion Operators: A Variational Theory on Evolving Multiresolution Spaces

Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)

Reconstructing subclonal composition and evolution from whole genome sequencing of tumors

Residual Dense Network for Image Restoration

EnergyStar++: Towards more accurate and explanatory building energy benchmarking

Do as I Do: Dexterous Manipulation Data from Everyday Human Videos

Are LLM-based Evaluators Confusing NLG Quality Criteria?

Spatial-Temporal Person Re-identification

Deep linear neural networks with arbitrary loss: All local minima are global

DoPE: Denoising Rotary Position Embedding

MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering

On a Formal Model of Safe and Scalable Self-driving Cars

Multi-Armed Bandits in Metric Spaces

Discontinuities and hysteresis in quantized average consensus

AI-Enabled Human Memory Manipulation: Misleading AI-Generated Summaries Distort Human Memory

Practical Efficiency of Muon for Pretraining

Metaplasticity as adaptive gradient preconditioning for incremental learning

Differential Privacy: on the trade-off between Utility and Information Leakage

From Learner Behavior to Reusable Skills for Effective and Efficient Learner Simulation

Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting