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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53,401 to 53,460 of 61,271

Learning to Repair Lean Proofs from Compiler Feedback
Evan Wang, Simon Chess, Daniel Lee +4
cs.LGarXiv:2602.02990v22026
TMB: Automatic Differentiation and Laplace Approximation
Kasper Kristensen, Anders Nielsen, Casper W. Berg +2
stat.COarXiv:1509.00660v12015
Graph Structure Learning for Robust Graph Neural Networks
Wei Jin, Yao Ma, Xiaorui Liu +3
cs.LGcs.CRcs.SIarXiv:2005.10203v32020
LatentMem: Customizing Latent Memory for Multi-Agent Systems
Muxin Fu, Xiangyuan Xue, Yafu Li +5
cs.CLcs.LGcs.MAarXiv:2602.03036v22026
Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding
Chongyi Li, Saeed Anwar, Junhui Hou +3
cs.CVarXiv:2104.13015v12021
On the Entropy Dynamics in Reinforcement Fine-Tuning of Large Language Models
Shumin Wang, Yuexiang Xie, Wenhao Zhang +4
cs.LGcs.AIarXiv:2602.03392v12026
ResAdapt: Adaptive Resolution for Efficient Multimodal Reasoning
Huanxuan Liao, Zhongtao Jiang, Yupu Hao +6
cs.CVcs.AIcs.CLarXiv:2603.28610v22026
Compressed Sensing using Generative Models
Ashish Bora, Ajil Jalal, Eric Price +1
stat.MLcs.ITcs.LGarXiv:1703.03208v12017
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images
David Vázquez, Jorge Bernal, F. Javier Sánchez +5
cs.CVarXiv:1612.00799v12016
Efficient piecewise training of deep structured models for semantic segmentation
Guosheng Lin, Chunhua Shen, Anton van dan Hengel +1
cs.CVarXiv:1504.01013v42015
ResearchGym: Evaluating Language Model Agents on Real-World AI Research
Aniketh Garikaparthi, Manasi Patwardhan, Arman Cohan
cs.AIarXiv:2602.15112v22026
AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
Zun Wang, Han Lin, Jaehong Yoon +3
cs.CVcs.AIarXiv:2602.14941v12026
RegionCLIP: Region-based Language-Image Pretraining
Yiwu Zhong, Jianwei Yang, Pengchuan Zhang +8
cs.CVcs.AIcs.LGarXiv:2112.09106v12021
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Shai Shalev-Shwartz, Shaked Shammah, Amnon Shashua
cs.AIcs.LGstat.MLarXiv:1610.03295v12016
RoboPocket: Improve Robot Policies Instantly with Your Phone
Junjie Fang, Wendi Chen, Han Xue +7
cs.ROcs.AIcs.LGarXiv:2603.05504v22026
Statistical physics of vaccination
Zhen Wang, Chris T. Bauch, Samit Bhattacharyya +6
physics.soc-phcond-mat.stat-mechcs.SIarXiv:1608.09010v32016
Learned in Translation: Contextualized Word Vectors
Bryan McCann, James Bradbury, Caiming Xiong +1
cs.CLcs.AIcs.LGarXiv:1708.00107v22017
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Omar Khattab, Arnav Singhvi, Paridhi Maheshwari +10
cs.CLcs.AIcs.IRarXiv:2310.03714v12023
UltraDexGrasp: Learning Universal Dexterous Grasping for Bimanual Robots with Synthetic Data
Sizhe Yang, Yiman Xie, Zhixuan Liang +4
cs.ROarXiv:2603.05312v12026
Meta-Reinforcement Learning with Self-Reflection for Agentic Search
Teng Xiao, Yige Yuan, Hamish Ivison +6
cs.LGcs.CLarXiv:2603.11327v22026
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare
Yiqiang Chen, Jindong Wang, Chaohui Yu +2
cs.LGcs.AIcs.NEarXiv:1907.09173v22019
CreativeBench: Benchmarking and Enhancing Machine Creativity via Self-Evolving Challenges
Zi-Han Wang, Lam Nguyen, Zhengyang Zhao +4
cs.AIcs.CLarXiv:2603.11863v22026
Leader-following coordination of multi-agent systems with coupling time delays
Jiangping Hu, Yiguang Hong
math-pharXiv:0705.0401v12007
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?
Alon Jacovi, Yoav Goldberg
cs.CLcs.LGarXiv:2004.03685v32020
Controlled Self-Evolution for Algorithmic Code Optimization
Tu Hu, Ronghao Chen, Shuo Zhang +9
cs.CLcs.AIcs.NEarXiv:2601.07348v52026
When Actions Go Off-Task: Detecting and Correcting Misaligned Actions in Computer-Use Agents
Yuting Ning, Jaylen Jones, Zhehao Zhang +5
cs.CLarXiv:2602.08995v22026
VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training
Guobin Shen, Chenxiao Zhao, Xiang Cheng +2
cs.LGcs.AIarXiv:2602.10693v32026
Machine Learning Methods Economists Should Know About
Susan Athey, Guido Imbens
econ.EMstat.MLarXiv:1903.10075v12019
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Chameleon Team
cs.CLarXiv:2405.09818v22024
SplitFed: When Federated Learning Meets Split Learning
Chandra Thapa, M. A. P. Chamikara, Seyit Camtepe +1
cs.LGarXiv:2004.12088v52020
Bias and Debias in Recommender System: A Survey and Future Directions
Jiawei Chen, Hande Dong, Xiang Wang +3
cs.IRarXiv:2010.03240v22020
Towards Reasoning in Large Language Models: A Survey
Jie Huang, Kevin Chen-Chuan Chang
cs.CLcs.AIarXiv:2212.10403v22022
End-to-end Training for Whole Image Breast Cancer Diagnosis using An All Convolutional Design
Li Shen
cs.CVarXiv:1711.05775v12017
How to factor 2048 bit RSA integers in 8 hours using 20 million noisy qubits
Craig Gidney, Martin Ekerå
quant-pharXiv:1905.09749v32019
Deep Convolutional Inverse Graphics Network
Tejas D. Kulkarni, Will Whitney, Pushmeet Kohli +1
cs.CVcs.GRcs.LGarXiv:1503.03167v42015
Maximizing Social Influence in Nearly Optimal Time
Christian Borgs, Michael Brautbar, Jennifer Chayes +1
cs.DScs.SIphysics.soc-pharXiv:1212.0884v52012
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications
Yong-Deok Kim, Eunhyeok Park, Sungjoo Yoo +3
cs.CVcs.LGarXiv:1511.06530v22015
Signal Recovery from Incomplete and Inaccurate Measurements via Regularized Orthogonal Matching Pursuit
Deanna Needell, Roman Vershynin
math.NAarXiv:0712.1360v12007
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Daniil Polykovskiy, Alexander Zhebrak, Benjamin Sanchez-Lengeling +13
cs.LGcs.AIcs.DBarXiv:1811.12823v52018
Ref-Adv: Exploring MLLM Visual Reasoning in Referring Expression Tasks
Qihua Dong, Kuo Yang, Lin Ju +6
cs.CVcs.AIcs.CLarXiv:2602.23898v12026
When and How Much to Imagine: Adaptive Test-Time Scaling with World Models for Visual Spatial Reasoning
Shoubin Yu, Yue Zhang, Zun Wang +4
cs.CVcs.AIcs.CLarXiv:2602.08236v22026
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
Chuxu Zhang, Dongjin Song, Yuncong Chen +7
cs.LGstat.MLarXiv:1811.08055v12018
Generative Moment Matching Networks
Yujia Li, Kevin Swersky, Richard Zemel
cs.LGcs.AIstat.MLarXiv:1502.02761v12015
Demo-ICL: In-Context Learning for Procedural Video Knowledge Acquisition
Yuhao Dong, Shulin Tian, Shuai Liu +6
cs.CVarXiv:2602.08439v12026
Astrometry.net: Blind astrometric calibration of arbitrary astronomical images
Dustin Lang, David W. Hogg, Keir Mierle +2
astro-ph.IMarXiv:0910.2233v12009
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
Shengbang Tong, Ellis Brown, Penghao Wu +11
cs.CVarXiv:2406.16860v22024
MMOU: A Massive Multi-Task Omni Understanding and Reasoning Benchmark for Long and Complex Real-World Videos
Arushi Goel, Sreyan Ghosh, Vatsal Agarwal +16
cs.CLcs.CVarXiv:2603.14145v22026
Language-driven Semantic Segmentation
Boyi Li, Kilian Q. Weinberger, Serge Belongie +2
cs.CVcs.CLcs.LGarXiv:2201.03546v22022
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce, Maksym Andriushchenko, Vikash Sehwag +5
cs.LGcs.CRcs.CVarXiv:2010.09670v32020
Fanar-Sadiq: A Multi-Agent Architecture for Grounded Islamic QA
Ummar Abbas, Mourad Ouzzani, Mohamed Y. Eltabakh +7
cs.CLarXiv:2603.08501v32026
From Prior to Pro: Efficient Skill Mastery via Distribution Contractive RL Finetuning
Zhanyi Sun, Shuran Song
cs.ROcs.LGarXiv:2603.10263v22026
Automatic Detection of Fake News
Verónica Pérez-Rosas, Bennett Kleinberg, Alexandra Lefevre +1
cs.CLarXiv:1708.07104v12017
Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards
Zhengzhao Ma, Xueru Wen, Boxi Cao +6
cs.LGcs.AIcs.CLarXiv:2603.09117v32026
DSDR: Dual-Scale Diversity Regularization for Exploration in LLM Reasoning
Zhongwei Wan, Yun Shen, Zhihao Dou +9
cs.LGcs.CLarXiv:2602.19895v12026
RubiCap: Rubric-Guided Reinforcement Learning for Dense Image Captioning
Tzu-Heng Huang, Sirajul Salekin, Javier Movellan +2
cs.CVcs.AIcs.LGarXiv:2603.09160v12026
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
Matthew Riemer, Ignacio Cases, Robert Ajemian +4
cs.LGcs.AIstat.MLarXiv:1810.11910v32018
PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
Junsong Chen, Jincheng Yu, Chongjian Ge +8
cs.CVarXiv:2310.00426v32023
OpenHands: An Open Platform for AI Software Developers as Generalist Agents
Xingyao Wang, Boxuan Li, Yufan Song +21
cs.SEcs.AIcs.CLarXiv:2407.16741v32024
PersonalAlign: Hierarchical Implicit Intent Alignment for Personalized GUI Agent with Long-Term User-Centric Records
Yibo Lyu, Gongwei Chen, Rui Shao +2
cs.AIcs.CVcs.HCarXiv:2601.09636v22026
Integral Human Pose Regression
Xiao Sun, Bin Xiao, Fangyin Wei +2
cs.CVarXiv:1711.08229v42017

Every paper with a summary

Learning to Repair Lean Proofs from Compiler Feedback

TMB: Automatic Differentiation and Laplace Approximation

Graph Structure Learning for Robust Graph Neural Networks

LatentMem: Customizing Latent Memory for Multi-Agent Systems

Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding

On the Entropy Dynamics in Reinforcement Fine-Tuning of Large Language Models

ResAdapt: Adaptive Resolution for Efficient Multimodal Reasoning

Compressed Sensing using Generative Models

A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images

Efficient piecewise training of deep structured models for semantic segmentation

ResearchGym: Evaluating Language Model Agents on Real-World AI Research

AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories

RegionCLIP: Region-based Language-Image Pretraining

Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving

RoboPocket: Improve Robot Policies Instantly with Your Phone

Statistical physics of vaccination

Learned in Translation: Contextualized Word Vectors

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

UltraDexGrasp: Learning Universal Dexterous Grasping for Bimanual Robots with Synthetic Data

Meta-Reinforcement Learning with Self-Reflection for Agentic Search

FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare

CreativeBench: Benchmarking and Enhancing Machine Creativity via Self-Evolving Challenges

Leader-following coordination of multi-agent systems with coupling time delays

Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?

Controlled Self-Evolution for Algorithmic Code Optimization

When Actions Go Off-Task: Detecting and Correcting Misaligned Actions in Computer-Use Agents

VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training

Machine Learning Methods Economists Should Know About

Chameleon: Mixed-Modal Early-Fusion Foundation Models

SplitFed: When Federated Learning Meets Split Learning

Bias and Debias in Recommender System: A Survey and Future Directions

Towards Reasoning in Large Language Models: A Survey

End-to-end Training for Whole Image Breast Cancer Diagnosis using An All Convolutional Design

How to factor 2048 bit RSA integers in 8 hours using 20 million noisy qubits

Deep Convolutional Inverse Graphics Network

Maximizing Social Influence in Nearly Optimal Time

Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications

Signal Recovery from Incomplete and Inaccurate Measurements via Regularized Orthogonal Matching Pursuit

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

Ref-Adv: Exploring MLLM Visual Reasoning in Referring Expression Tasks

When and How Much to Imagine: Adaptive Test-Time Scaling with World Models for Visual Spatial Reasoning

A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data

Generative Moment Matching Networks

Demo-ICL: In-Context Learning for Procedural Video Knowledge Acquisition

Astrometry.net: Blind astrometric calibration of arbitrary astronomical images

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

MMOU: A Massive Multi-Task Omni Understanding and Reasoning Benchmark for Long and Complex Real-World Videos

Language-driven Semantic Segmentation

RobustBench: a standardized adversarial robustness benchmark

Fanar-Sadiq: A Multi-Agent Architecture for Grounded Islamic QA

From Prior to Pro: Efficient Skill Mastery via Distribution Contractive RL Finetuning

Automatic Detection of Fake News

Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards

DSDR: Dual-Scale Diversity Regularization for Exploration in LLM Reasoning

RubiCap: Rubric-Guided Reinforcement Learning for Dense Image Captioning

Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference

PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

OpenHands: An Open Platform for AI Software Developers as Generalist Agents

PersonalAlign: Hierarchical Implicit Intent Alignment for Personalized GUI Agent with Long-Term User-Centric Records

Integral Human Pose Regression