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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86,941 to 87,000 of 102,952

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
WhiteMatter: All-to-All Cross-Layer Connections via KV Mixing
Wenbo Zhang, Xiang Ren
cs.CLcs.LGarXiv:2608.18486v12026
RUBRIC-ARROW: Alternating Pointwise Rubric Reward Modeling for LLM Post-training in Non-verifiable Domains
Haoxiang Jiang, Zihan Dong, Tianci Liu +5
cs.LGcs.CLarXiv:2605.29156v12026
How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)
Adrian Bulat, Georgios Tzimiropoulos
cs.CVcs.LGarXiv:1703.07332v32017
Federated Accelerated Stochastic Gradient Descent
Honglin Yuan, Tengyu Ma
cs.LGcs.DCmath.OCarXiv:2006.08950v42020
Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach
Aleksei Tiulpin, Jérôme Thevenot, Esa Rahtu +2
cs.CVarXiv:1710.10589v12017
Look Before You Leap: Autonomous Exploration for LLM Agents
Ziang Ye, Wentao Shi, Yuxin Liu +6
cs.AIcs.CLarXiv:2605.16143v12026
Continuous Dice Coefficient: a Method for Evaluating Probabilistic Segmentations
Reuben R Shamir, Yuval Duchin, Jinyoung Kim +2
cs.CVeess.IVarXiv:1906.11031v12019
Mission-Aware Attestation Envelopes for Time-Critical Autonomous Action: A Hardware-in-the-Loop V2I Study
Dimitrios Nikou, Nikolaos Kekatos, Sophia Petridou +1
cs.CRcs.ROcs.SYarXiv:2610.08771v12026
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
Weiwei Sun, Lingyong Yan, Xinyu Ma +5
cs.CLcs.IRarXiv:2304.09542v32023
Fundamental limits of symmetric low-rank matrix estimation
Marc Lelarge, Léo Miolane
math.PRarXiv:1611.03888v32016
Learning Descriptors for Object Recognition and 3D Pose Estimation
Paul Wohlhart, Vincent Lepetit
cs.CVarXiv:1502.05908v22015
4D Attention-based Neural Network for EEG Emotion Recognition
Guowen Xiao, Mengwen Ye, Bowen Xu +2
cs.LGarXiv:2101.05484v12021
Knowing When Not to Answer: Abstention and Refusal Reasoning in Vision--Language Models
Karan Dua, Amit Agarwal, Hitesh Laxmichand Patel +8
cs.CVcs.AIarXiv:2609.05540v12026
A Survey on Semantic Communications in Internet of Vehicles
Sha Ye, Qiong Wu, Pingyi Fan +1
cs.NIcs.LGeess.SParXiv:2503.03767v22025
Computation Rate Maximization in UAV-Enabled Wireless Powered Mobile-Edge Computing Systems
Fuhui Zhou, Yongpeng Wu, Rose Qingyang Hu +1
eess.SPcs.CEcs.ITarXiv:1806.04589v22018
MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models
Kailai Yang, Tianlin Zhang, Ziyan Kuang +3
cs.CLarXiv:2309.13567v32023
R1dacted: Investigating Local Censorship in DeepSeek's R1 Language Model
Ali Naseh, Harsh Chaudhari, Jaechul Roh +3
cs.CLcs.CRcs.LGarXiv:2505.12625v12025
Observability of Boolean control networks: A unified approach based on the theories of finite automata
Kuize Zhang, Lijun Zhang
math.OCarXiv:1405.6780v22014
Increasing Width Allows Greedy Layer-wise Training to Rival End-to-End Backpropagation in Self-Supervised Learning
Syon Mansur, Joel Zylberberg
cs.LGcs.AIcs.CVarXiv:2610.00753v12026
Implicit Representations of Meaning in Neural Language Models
Belinda Z. Li, Maxwell Nye, Jacob Andreas
cs.CLarXiv:2106.00737v12021
Unconstrained Monotonic Neural Networks
Antoine Wehenkel, Gilles Louppe
cs.LGcs.NEstat.MLarXiv:1908.05164v32019
Speak Out of Turn: Safety Vulnerability of Large Language Models in Multi-turn Dialogue
Zhenhong Zhou, Jiuyang Xiang, Haopeng Chen +3
cs.CLcs.AIarXiv:2402.17262v22024
Honesty Is the Best Policy: Defining and Mitigating AI Deception
Francis Rhys Ward, Francesco Belardinelli, Francesca Toni +1
cs.AIarXiv:2312.01350v12023
Scale-free Networks Well Done
Ivan Voitalov, Pim van der Hoorn, Remco van der Hofstad +1
physics.soc-phcs.SIphysics.data-anarXiv:1811.02071v22018
Summaries:한국어
Which Attention Heads are like the Human Head? Not the Ones that Compute
Christopher Pinier, Gustaw Opiełka, Hannes Rosenbusch +3
cs.AIq-bio.NCarXiv:2609.37991v12026
Anticipate and Learn: Unleashing Idle-Time Compute in Proactive Agents
Haoyi Hu, Qirong Lyu, Xianghan Kong +7
cs.CLcs.IRcs.MAarXiv:2605.25971v22026
LatentSkill: From In-Context Textual Skills to In-Weight Latent Skills for LLM Agents
Aofan Yu, Chenyu Zhou, Tianyi Xu +8
cs.CLcs.AIarXiv:2606.06087v22026
CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?
Haolin Chen, Deon Metelski, Leon Qi +30
cs.CLcs.AIarXiv:2605.16679v22026
Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models
Gen Luo, Yiyi Zhou, Tianhe Ren +3
cs.CVarXiv:2305.15023v32023

Every paper with a summary

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

WhiteMatter: All-to-All Cross-Layer Connections via KV Mixing

RUBRIC-ARROW: Alternating Pointwise Rubric Reward Modeling for LLM Post-training in Non-verifiable Domains

How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)

Federated Accelerated Stochastic Gradient Descent

Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach

Look Before You Leap: Autonomous Exploration for LLM Agents

Continuous Dice Coefficient: a Method for Evaluating Probabilistic Segmentations

Mission-Aware Attestation Envelopes for Time-Critical Autonomous Action: A Hardware-in-the-Loop V2I Study

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Fundamental limits of symmetric low-rank matrix estimation

Learning Descriptors for Object Recognition and 3D Pose Estimation

4D Attention-based Neural Network for EEG Emotion Recognition

Knowing When Not to Answer: Abstention and Refusal Reasoning in Vision--Language Models

A Survey on Semantic Communications in Internet of Vehicles

Computation Rate Maximization in UAV-Enabled Wireless Powered Mobile-Edge Computing Systems

MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models

R1dacted: Investigating Local Censorship in DeepSeek's R1 Language Model

Observability of Boolean control networks: A unified approach based on the theories of finite automata

Increasing Width Allows Greedy Layer-wise Training to Rival End-to-End Backpropagation in Self-Supervised Learning

Implicit Representations of Meaning in Neural Language Models

Unconstrained Monotonic Neural Networks

Speak Out of Turn: Safety Vulnerability of Large Language Models in Multi-turn Dialogue

Honesty Is the Best Policy: Defining and Mitigating AI Deception

Scale-free Networks Well Done

Which Attention Heads are like the Human Head? Not the Ones that Compute

Anticipate and Learn: Unleashing Idle-Time Compute in Proactive Agents

LatentSkill: From In-Context Textual Skills to In-Weight Latent Skills for LLM Agents

CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?

Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models