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)

86,821 to 86,880 of 102,861

Phase-cycled randomized benchmarking of quantum processors: recovering hidden classical noise correlations
Mirza Samad Ahmed Baig, Syeda Anshrah Gillani, Abdul Akbar Khan +1
cs.ETcs.CLcs.DCarXiv:2609.06448v12026
Do Multilingual LLMs Think In English?
Lisa Schut, Yarin Gal, Sebastian Farquhar
cs.CLcs.AIcs.LGarXiv:2502.15603v12025
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems
Wenbo Guo, Lun Wang, Xinyu Xing +2
cs.CRcs.AIarXiv:1908.01763v22019
FetchSGD: Communication-Efficient Federated Learning with Sketching
Daniel Rothchild, Ashwinee Panda, Enayat Ullah +5
cs.LGstat.MLarXiv:2007.07682v22020
Salient Object Detection in the Deep Learning Era: An In-Depth Survey
Wenguan Wang, Qiuxia Lai, Huazhu Fu +3
cs.CVarXiv:1904.09146v52019
HITTER: A HumanoId Table TEnnis Robot via Hierarchical Planning and Learning
Zhi Su, Bike Zhang, Nima Rahmanian +5
cs.ROarXiv:2508.21043v22025
SLANG: New Concept Comprehension of Large Language Models
Lingrui Mei, Shenghua Liu, Yiwei Wang +2
cs.CLarXiv:2401.12585v62024
On the Complexity of Bandit and Derivative-Free Stochastic Convex Optimization
Ohad Shamir
cs.LGmath.OCstat.MLarXiv:1209.2388v32012
Conformal Prediction Sets Quantify Information Gain: A Theoretical Perspective
Kevin Zhang, Stephen Bates
cs.LGarXiv:2610.08785v12026
Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems
Yuxin Chen, Emmanuel J. Candes
cs.ITcs.LGmath.NAarXiv:1505.05114v22015
ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts
Mu Cai, Haotian Liu, Dennis Park +4
cs.CVcs.AIcs.CLarXiv:2312.00784v22023
Robust Website Fingerprinting Through the Cache Occupancy Channel
Anatoly Shusterman, Lachlan Kang, Yarden Haskal +4
cs.CRcs.LGarXiv:1811.07153v32018
CheXGround: Anatomical Region Tokens for Grounded Longitudinal Chest X-ray Interpretation
Adonay Demewez Gebremedhin, Wessam Shehieb, Sara Alansari +4
cs.CVarXiv:2608.30758v12026
3D Infomax improves GNNs for Molecular Property Prediction
Hannes Stärk, Dominique Beaini, Gabriele Corso +4
cs.LGcs.AIq-bio.BMarXiv:2110.04126v42021
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search
Arber Zela, Aaron Klein, Stefan Falkner +1
cs.LGcs.AIcs.CVarXiv:1807.06906v12018
Adversarial Demonstration Attacks on Large Language Models
Jiongxiao Wang, Zichen Liu, Keun Hee Park +5
cs.CLcs.AIcs.CRarXiv:2305.14950v22023
HIN: Hierarchical Inference Network for Document-Level Relation Extraction
Hengzhu Tang, Yanan Cao, Zhenyu Zhang +4
cs.CLarXiv:2003.12754v12020
Accelerating Materials Discovery with Bayesian Optimization and Graph Deep Learning
Yunxing Zuo, Mingde Qin, Chi Chen +4
cond-mat.mtrl-sciarXiv:2104.10242v12021
Autonomous Drone Racing: A Survey
Drew Hanover, Antonio Loquercio, Leonard Bauersfeld +6
cs.ROarXiv:2301.01755v42023
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
Nitish Shirish Keskar, Dheevatsa Mudigere, Jorge Nocedal +2
cs.LGmath.OCarXiv:1609.04836v22016
GPT4Point: A Unified Framework for Point-Language Understanding and Generation
Zhangyang Qi, Ye Fang, Zeyi Sun +5
cs.CVarXiv:2312.02980v22023
CBCT-Based Synthetic CT Image Generation Using Conditional Denoising Diffusion Probabilistic Model
Junbo Peng, Richard L. J. Qiu, Jacob F Wynne +8
physics.med-pharXiv:2303.02649v12023
Evaluating RL Explainability Methods by How Much They Help Fix Bugs in Agents
Ram Rachum, Yotam Amitai, Bálint Gyevnár +2
cs.LGarXiv:2608.17524v12026
Bayesian model averaging: A systematic review and conceptual classification
Tiago M. Fragoso, Francisco Louzada Neto
stat.MEstat.AParXiv:1509.08864v12015
Models for Paired Comparison Data: A Review with Emphasis on Dependent Data
Manuela Cattelan
stat.MEarXiv:1210.1016v12012
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
Zhuchen Shao, Hao Bian, Yang Chen +4
cs.CVarXiv:2106.00908v22021
State-Grounded Conditioning: Wrapping User-Facing LLM Agents Where Direction Depends on Live State
Qi Liu, Xiaoyang Yuan, Yubin Ruan +8
cs.AIarXiv:2609.27606v12026
CLMLF:A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection
Zhen Li, Bing Xu, Conghui Zhu +1
cs.CLarXiv:2204.05515v42022
Exploring Visual Prompts for Adapting Large-Scale Models
Hyojin Bahng, Ali Jahanian, Swami Sankaranarayanan +1
cs.CVarXiv:2203.17274v22022
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Eli Schwartz, Leonid Karlinsky, Joseph Shtok +6
cs.CVarXiv:1806.04734v32018
De-skilling, Cognitive Offloading, and Misplaced Responsibilities: Potential Ironies of AI-Assisted Design
Prakash Shukla, Phuong Bui, Sean S Levy +3
cs.HCcs.AIarXiv:2503.03924v12025
LandmarkLens: Predicting and Presenting Effective Landmarks for Mixed-Reality Urban Exploration
Chu Li, Yotam Sechayk, Jared Hwang +2
cs.HCarXiv:2608.30142v12026
Domain-Specific Latent Representations Improve the Fidelity of Diffusion-Based Medical Image Super-Resolution
Sebastian Cajas, Ashaba Judith, Rahul Gorijavolu +8
cs.CVcs.AIarXiv:2604.12152v12026
GPT4Scene: Understand 3D Scenes from Videos with Vision-Language Models
Zhangyang Qi, Zhixiong Zhang, Ye Fang +2
cs.CVarXiv:2501.01428v42025
Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement
Xueyao Zhang, Xiaohui Zhang, Kainan Peng +10
cs.SDcs.AIeess.ASarXiv:2502.07243v12025
Algorithm Engineering in Robust Optimization
Marc Goerigk, Anita Schöbel
math.OCcs.DSarXiv:1505.04901v32015
Concentric Characterization and Classification of Complex Network Nodes: Theory and Application to Institutional Collaboration
Filipi Nascimento Silva, Marilza A. Rodrigues, Luciano da Fontoura Costa
physics.soc-phphysics.data-anarXiv:0710.1857v12007
PhysEvo: Astra Can Act, Let It
Wenqing Tian, Zeyu Zhang, Zhaocheng Liu +3
cs.ROcs.AIarXiv:2610.08995v12026
The power of randomness in Bayesian optimal mechanism design
Shuchi Chawla, David Malec, Balasubramanian Sivan
cs.GTarXiv:1002.3893v22010
Quantum secret sharing with qudit graph states
Adrian Keet, Ben Fortescue, Damian Markham +1
quant-pharXiv:1004.4619v32010
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network
Seunghoon Hong, Junhyuk Oh, Bohyung Han +1
cs.CVarXiv:1512.07928v12015
Interpretable Distribution Features with Maximum Testing Power
Wittawat Jitkrittum, Zoltan Szabo, Kacper Chwialkowski +1
stat.MLcs.LGarXiv:1605.06796v22016
Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation
Weiqing Wang, Hongzhi Yin, Ling Chen +3
cs.IRcs.DBcs.SIarXiv:1503.03650v12015
Backstabber's Knife Collection: A Review of Open Source Software Supply Chain Attacks
Marc Ohm, Henrik Plate, Arnold Sykosch +1
cs.CRcs.SEarXiv:2005.09535v12020
Optimal Energy Management Policies for Energy Harvesting Sensor Nodes
Vinod Sharma, Utpal Mukherji, Vinay Joseph +1
cs.NIarXiv:0809.3908v12008
Improving Attributed Text Generation of Large Language Models via Preference Learning
Dongfang Li, Zetian Sun, Baotian Hu +4
cs.CLcs.AIarXiv:2403.18381v12024
Minimax Rates of Estimation for Sparse PCA in High Dimensions
Vincent Q. Vu, Jing Lei
stat.MLcs.LGmath.STarXiv:1202.0786v22012
An Information-Theoretic Characterization of MIMO-FAS: Optimization, Diversity-Multiplexing Tradeoff and $q$-Outage Capacity
Wee Kiat New, Kai-Kit Wong, Hao Xu +2
cs.ITarXiv:2303.02269v32023
Deep Transfer Learning for Cross-domain Activity Recognition
Jindong Wang, Vincent W. Zheng, Yiqiang Chen +1
eess.IVstat.MLarXiv:1807.07963v22018
Learning Convolutional Networks for Content-weighted Image Compression
Mu Li, Wangmeng Zuo, Shuhang Gu +2
cs.CVarXiv:1703.10553v22017
Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL
Mohammadreza Pourreza, Shayan Talaei, Ruoxi Sun +5
cs.LGcs.AIcs.DBarXiv:2503.23157v22025
MMA Training: Direct Input Space Margin Maximization through Adversarial Training
Gavin Weiguang Ding, Yash Sharma, Kry Yik Chau Lui +1
cs.LGcs.NEstat.MLarXiv:1812.02637v42018
Why Does Action Chunking Improve Behavioral Cloning Performance in Robotic Control?
Filippo Lazzati, Kyle Stachowicz, William Chen +3
cs.ROarXiv:2608.02547v12026
Sparse Signal Estimation by Maximally Sparse Convex Optimization
Ivan W. Selesnick, Ilker Bayram
cs.LGstat.MLarXiv:1302.5729v32013
Chaotic multi-objective optimization based design of fractional order PIλDμ controller in AVR system
Indranil Pan, Saptarshi Das
eess.SYcs.NEarXiv:1205.1765v22012
Exploiting Cross-Session Information for Session-based Recommendation with Graph Neural Networks
Ruihong Qiu, Zi Huang, Jingjing Li +1
cs.IRarXiv:2107.00852v22021
Recent Advances in Recurrent Neural Networks
Hojjat Salehinejad, Sharan Sankar, Joseph Barfett +2
cs.NEarXiv:1801.01078v32017
Control of Connected and Automated Vehicles: State of the Art and Future Challenges
Jacopo Guanetti, Yeojun Kim, Francesco Borrelli
eess.SYarXiv:1804.03757v12018
Likelihood-based model selection for stochastic block models
Y. X. Rachel Wang, Peter J. Bickel
math.STarXiv:1502.02069v32015
Graph Spectral Image Processing
Gene Cheung, Enrico Magli, Yuichi Tanaka +1
eess.IVeess.SParXiv:1801.04749v22018

Every paper with a summary

Phase-cycled randomized benchmarking of quantum processors: recovering hidden classical noise correlations

Do Multilingual LLMs Think In English?

TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems

FetchSGD: Communication-Efficient Federated Learning with Sketching

Salient Object Detection in the Deep Learning Era: An In-Depth Survey

HITTER: A HumanoId Table TEnnis Robot via Hierarchical Planning and Learning

SLANG: New Concept Comprehension of Large Language Models

On the Complexity of Bandit and Derivative-Free Stochastic Convex Optimization

Conformal Prediction Sets Quantify Information Gain: A Theoretical Perspective

Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems

ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts

Robust Website Fingerprinting Through the Cache Occupancy Channel

CheXGround: Anatomical Region Tokens for Grounded Longitudinal Chest X-ray Interpretation

3D Infomax improves GNNs for Molecular Property Prediction

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search

Adversarial Demonstration Attacks on Large Language Models

HIN: Hierarchical Inference Network for Document-Level Relation Extraction

Accelerating Materials Discovery with Bayesian Optimization and Graph Deep Learning

Autonomous Drone Racing: A Survey

On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima

GPT4Point: A Unified Framework for Point-Language Understanding and Generation

CBCT-Based Synthetic CT Image Generation Using Conditional Denoising Diffusion Probabilistic Model

Evaluating RL Explainability Methods by How Much They Help Fix Bugs in Agents

Bayesian model averaging: A systematic review and conceptual classification

Models for Paired Comparison Data: A Review with Emphasis on Dependent Data

TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification

State-Grounded Conditioning: Wrapping User-Facing LLM Agents Where Direction Depends on Live State

CLMLF:A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection

Exploring Visual Prompts for Adapting Large-Scale Models

Delta-encoder: an effective sample synthesis method for few-shot object recognition

De-skilling, Cognitive Offloading, and Misplaced Responsibilities: Potential Ironies of AI-Assisted Design

LandmarkLens: Predicting and Presenting Effective Landmarks for Mixed-Reality Urban Exploration

Domain-Specific Latent Representations Improve the Fidelity of Diffusion-Based Medical Image Super-Resolution

GPT4Scene: Understand 3D Scenes from Videos with Vision-Language Models

Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement

Algorithm Engineering in Robust Optimization

Concentric Characterization and Classification of Complex Network Nodes: Theory and Application to Institutional Collaboration

PhysEvo: Astra Can Act, Let It

The power of randomness in Bayesian optimal mechanism design

Quantum secret sharing with qudit graph states

Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network

Interpretable Distribution Features with Maximum Testing Power

Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation

Backstabber's Knife Collection: A Review of Open Source Software Supply Chain Attacks

Optimal Energy Management Policies for Energy Harvesting Sensor Nodes

Improving Attributed Text Generation of Large Language Models via Preference Learning

Minimax Rates of Estimation for Sparse PCA in High Dimensions

An Information-Theoretic Characterization of MIMO-FAS: Optimization, Diversity-Multiplexing Tradeoff and $q$-Outage Capacity

Deep Transfer Learning for Cross-domain Activity Recognition

Learning Convolutional Networks for Content-weighted Image Compression

Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL

MMA Training: Direct Input Space Margin Maximization through Adversarial Training

Why Does Action Chunking Improve Behavioral Cloning Performance in Robotic Control?

Sparse Signal Estimation by Maximally Sparse Convex Optimization

Chaotic multi-objective optimization based design of fractional order PIλDμ controller in AVR system

Exploiting Cross-Session Information for Session-based Recommendation with Graph Neural Networks

Recent Advances in Recurrent Neural Networks

Control of Connected and Automated Vehicles: State of the Art and Future Challenges

Likelihood-based model selection for stochastic block models

Graph Spectral Image Processing