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)

16,621 to 16,680 of 61,428

Linear convergence in optimization over directed graphs with row-stochastic matrices
Chenguang Xi, Van Sy Mai, Ran Xin +2
math.OCarXiv:1611.06160v42016
Adaptive RIS-aided Communications through ML-based Generation of Phase Masks
Corwin Carpenter, Thomas Daltzis, George C. Trichopoulos +2
eess.SYcs.NIarXiv:2608.28890v12026
Lifelong Learning of Large Language Model based Agents: A Roadmap
Junhao Zheng, Chengming Shi, Xidi Cai +5
cs.AIarXiv:2501.07278v22025
Contrastive Code Representation Learning
Paras Jain, Ajay Jain, Tianjun Zhang +3
cs.LGcs.AIcs.PLarXiv:2007.04973v42020
Optimal computational and statistical rates of convergence for sparse nonconvex learning problems
Zhaoran Wang, Han Liu, Tong Zhang
stat.MLarXiv:1306.4960v52013
Data Management in Industry 4.0: State of the Art and Open Challenges
Theofanis P. Raptis, Andrea Passarella, Marco Conti
cs.NIarXiv:1902.06141v22019
The HSIC Bottleneck: Deep Learning without Back-Propagation
Wan-Duo Kurt Ma, J. P. Lewis, W. Bastiaan Kleijn
cs.LGstat.MLarXiv:1908.01580v32019
Safety Guardrails for LLM-Enabled Robots
Zachary Ravichandran, Alexander Robey, Vijay Kumar +2
cs.ROcs.AIarXiv:2503.07885v22025
State-Conditioned Visual Evidence Retrieval for Fine-Grained Perception in Document Vision-Language Models
Mingxu Chai, Chenyu Liu, Ziyu Shen +7
cs.CVarXiv:2608.28698v12026
GREEND: An Energy Consumption Dataset of Households in Italy and Austria
Andrea Monacchi, Dominik Egarter, Wilfried Elmenreich +2
cs.OHarXiv:1405.3100v22014
Imagine Before Retrieval: Prospective Skill Retrieval for LLM Agents
Shuo Liu, Yutong Yang, Haohao Xiao +2
cs.IRarXiv:2609.01642v12026
Progressive LiDAR Adaptation for Road Detection
Zhe Chen, Jing Zhang, Dacheng Tao
cs.CVarXiv:1904.01206v12019
Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity
Arnak Dalalyan, Alexandre Tsybakov
math.STarXiv:0803.2839v22008
A Comprehensive Review of Techniques, Algorithms, Advancements, Challenges, and Clinical Applications of Multi-modal Medical Image Fusion for Improved Diagnosis
Muhammad Zubair, Muzammil Hussai, Mousa Ahmad Al-Bashrawi +2
eess.IVcs.CVarXiv:2505.14715v12025
Natural Language to Code Translation with Execution
Freda Shi, Daniel Fried, Marjan Ghazvininejad +2
cs.CLcs.SEarXiv:2204.11454v22022
FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension
Hsin-Yuan Huang, Chenguang Zhu, Yelong Shen +1
cs.CLcs.AIarXiv:1711.07341v22017
SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution
Hanlin Wang, Chak Tou Leong, Jiashuo Wang +2
cs.CLcs.LGarXiv:2505.20732v12025
Douglas-Rachford splitting for nonconvex optimization with application to nonconvex feasibility problems
Guoyin Li, Ting Kei Pong
math.OCstat.MLarXiv:1409.8444v52014
COCO-CN for Cross-Lingual Image Tagging, Captioning and Retrieval
Xirong Li, Chaoxi Xu, Xiaoxu Wang +4
cs.CLcs.CVarXiv:1805.08661v22018
Robustness of Graph Neural Networks at Scale
Simon Geisler, Tobias Schmidt, Hakan Şirin +3
cs.LGstat.MLarXiv:2110.14038v42021
Hydra: A Navigation World Action Model with Discrete Latent Planning and Continuous Flow-Matching Execution
Mohammad Nazeri, Alexandyr Card, Samira Huber +6
cs.ROcs.CVarXiv:2608.28995v12026
DeepHSIC: Deep Learning-based Signal Detector for Hybrid Downlink IM-NOMA
Dung Nguyen Tran, Toan D. Gian, Tien-Hoa Nguyen +3
cs.ITarXiv:2608.29052v12026
Protecting Celebrities from DeepFake with Identity Consistency Transformer
Xiaoyi Dong, Jianmin Bao, Dongdong Chen +6
cs.CVarXiv:2203.01318v32022
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
Yuhan Li, Xinni Zhang, Linhao Luo +4
cs.IRcs.CLarXiv:2502.12586v12025
Quantitative Susceptibility Mapping using Deep Neural Network: QSMnet
Jaeyeon Yoon, Enhao Gong, Itthi Chatnuntawech +10
eess.IVarXiv:1803.05627v22018
EviAnchor: Mitigating Hallucinations in Large Vision-Language Models via Regional Visual Evidence Compensation
Sihang Jia, Shuliang Liu, Songbo Yang +1
cs.AIcs.CVarXiv:2608.29092v12026
Steer LLM Latents for Hallucination Detection
Seongheon Park, Xuefeng Du, Min-Hsuan Yeh +2
cs.LGcs.AIcs.CLarXiv:2503.01917v22025
A Note on Shumailov et al. (2024): `AI Models Collapse When Trained on Recursively Generated Data'
Ali Borji
cs.LGcs.AIarXiv:2410.12954v22024
On a Class of Bias-Amplifying Variables that Endanger Effect Estimates
Judea Pearl
stat.MEcs.AIarXiv:1203.3503v12012
Load Balancing for MapReduce-based Entity Resolution
Lars Kolb, Andreas Thor, Erhard Rahm
cs.DCarXiv:1108.1631v12011
APEG: Adaptive Physical Layer Authentication with Channel Extrapolation and Generative AI
Xiqi Cheng, Rui Meng, Xiaodong Xu +3
eess.SParXiv:2603.21923v12026
Who Needs MLOps: What Data Scientists Seek to Accomplish and How Can MLOps Help?
Sasu Mäkinen, Henrik Skogström, Eero Laaksonen +1
cs.SEarXiv:2103.08942v12021
The Inductive Bias of Quantum Kernels
Jonas M. Kübler, Simon Buchholz, Bernhard Schölkopf
quant-phstat.MLarXiv:2106.03747v22021
A Contemporary Survey on Fluid Antenna Systems: Fundamentals and Networking Perspectives
Hanjiang Hong, Kai-Kit Wong, Hao Xu +8
cs.ITeess.SParXiv:2506.13317v22025
Do LLMs Have Visualization Literacy? An Evaluation on Modified Visualizations to Test Generalization in Data Interpretation
Jiayi Hong, Christian Seto, Arlen Fan +1
cs.PFarXiv:2501.16277v12025
Pro-Router: Token-Aware Progressive Model Routing with Adaptive Edge-Cloud Collaboration for Efficient Multimodal LLM Inference
Xinyuan Gui, Shaowen Wang, Sheng Sun +3
cs.AIarXiv:2608.28726v12026
Global convergence rate analysis of unconstrained optimization methods based on probabilistic models
Coralia Cartis, Katya Scheinberg
math.OCarXiv:1505.06070v22015
"Humans welcome to observe": A First Look at the Agent Social Network Moltbook
Yukun Jiang, Yage Zhang, Xinyue Shen +2
cs.SIcs.AIcs.CRarXiv:2602.10127v12026
The University of Edinburgh's Neural MT Systems for WMT17
Rico Sennrich, Alexandra Birch, Anna Currey +5
cs.CLarXiv:1708.00726v12017
RACER: Reinforced Agent Collaboration for Explainable Reasoning on Knowledge Graphs
Yuwei Lou, Hao Hu, Yuzhou Jiang +5
cs.AIarXiv:2608.29263v12026
Deep Reinforcement Learning for Energy Efficiency Maximization in RSMA-IRS-Assisted ISAC System
Zhangfeng Ma, Ruichen Zhang, Bo Ai +3
cs.ITeess.SParXiv:2501.15091v12025
Decoupling the Depth and Scope of Graph Neural Networks
Hanqing Zeng, Muhan Zhang, Yinglong Xia +6
cs.LGcs.AIarXiv:2201.07858v12022
TLA: Tactile-Language-Action Model for Contact-Rich Manipulation
Peng Hao, Chaofan Zhang, Dingzhe Li +4
cs.ROcs.CVarXiv:2503.08548v12025
EML-NET:An Expandable Multi-Layer NETwork for Saliency Prediction
Sen Jia, Neil D. B. Bruce
cs.CVarXiv:1805.01047v22018
Benevolent Bias in Multi-Turn Human-Agent Dialogue
Qianqi Liu, Jin Huang, Fethiye Irmak Dogan +1
cs.AIarXiv:2608.29206v12026
Fast Training of Diffusion Models with Masked Transformers
Hongkai Zheng, Weili Nie, Arash Vahdat +1
cs.CVcs.AIcs.LGarXiv:2306.09305v22023
Reward Hacking Benchmark: Measuring Exploits in LLM Agents with Tool Use
Kunvar Thaman
cs.LGcs.AIarXiv:2605.02964v12026
MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration
Yucheng Zhou, Lingran Song, Jianbing Shen
cs.CLarXiv:2506.19835v12025
Learning Domain-Invariant Subspace using Domain Features and Independence Maximization
Ke Yan, Lu Kou, David Zhang
cs.CVcs.AIcs.LGarXiv:1603.04535v22016
Hierarchical Semantic-Augmented Navigation: Optimal Transport and Graph-Driven Reasoning for Vision-Language Navigation
Xiang Fang, Wanlong Fang, Changshuo Wang
cs.ROcs.CVarXiv:2606.01565v12026
UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens
Ruichuan An, Sihan Yang, Renrui Zhang +10
cs.CVarXiv:2505.14671v32025
B$^3$-PWL: GPU-Batched Branch-and-Bound for Piecewise-Linear Optimization with SOS2 Constraints
Yilin Guan, Shuqing Luo, Pingzhi Li +2
math.OCcs.DCarXiv:2608.28988v12026
GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras
Ye Yuan, Umar Iqbal, Pavlo Molchanov +2
cs.CVcs.AIcs.GRarXiv:2112.01524v22021
A Survey on Privacy Risks and Protection in Large Language Models
Kang Chen, Xiuze Zhou, Yuanguo Lin +3
cs.CRarXiv:2505.01976v12025
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs
Tianwei Ni, Benjamin Eysenbach, Ruslan Salakhutdinov
cs.LGcs.AIcs.ROarXiv:2110.05038v32021
Legacy System Modernization with Coding Agents: A Case Study
Iago da Silva Rodrigues Alves, Cristiano Politowski, João Eduardo Montandon
cs.SEarXiv:2608.28972v12026
ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario
Lucen Zhong, Zhengxiao Du, Xiaohan Zhang +2
cs.CLarXiv:2501.10132v12025
Unsupervised Prompt Learning for Vision-Language Models
Tony Huang, Jack Chu, Fangyun Wei
cs.CVarXiv:2204.03649v22022
The Leaderboard Illusion
Shivalika Singh, Yiyang Nan, Alex Wang +10
cs.AIcs.CLcs.LGarXiv:2504.20879v22025
Keyword Transformer: A Self-Attention Model for Keyword Spotting
Axel Berg, Mark O'Connor, Miguel Tairum Cruz
eess.AScs.CLcs.LGarXiv:2104.00769v32021

Every paper with a summary

Linear convergence in optimization over directed graphs with row-stochastic matrices

Adaptive RIS-aided Communications through ML-based Generation of Phase Masks

Lifelong Learning of Large Language Model based Agents: A Roadmap

Contrastive Code Representation Learning

Optimal computational and statistical rates of convergence for sparse nonconvex learning problems

Data Management in Industry 4.0: State of the Art and Open Challenges

The HSIC Bottleneck: Deep Learning without Back-Propagation

Safety Guardrails for LLM-Enabled Robots

State-Conditioned Visual Evidence Retrieval for Fine-Grained Perception in Document Vision-Language Models

GREEND: An Energy Consumption Dataset of Households in Italy and Austria

Imagine Before Retrieval: Prospective Skill Retrieval for LLM Agents

Progressive LiDAR Adaptation for Road Detection

Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity

A Comprehensive Review of Techniques, Algorithms, Advancements, Challenges, and Clinical Applications of Multi-modal Medical Image Fusion for Improved Diagnosis

Natural Language to Code Translation with Execution

FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension

SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution

Douglas-Rachford splitting for nonconvex optimization with application to nonconvex feasibility problems

COCO-CN for Cross-Lingual Image Tagging, Captioning and Retrieval

Robustness of Graph Neural Networks at Scale

Hydra: A Navigation World Action Model with Discrete Latent Planning and Continuous Flow-Matching Execution

DeepHSIC: Deep Learning-based Signal Detector for Hybrid Downlink IM-NOMA

Protecting Celebrities from DeepFake with Identity Consistency Transformer

G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation

Quantitative Susceptibility Mapping using Deep Neural Network: QSMnet

EviAnchor: Mitigating Hallucinations in Large Vision-Language Models via Regional Visual Evidence Compensation

Steer LLM Latents for Hallucination Detection

A Note on Shumailov et al. (2024): `AI Models Collapse When Trained on Recursively Generated Data'

On a Class of Bias-Amplifying Variables that Endanger Effect Estimates

Load Balancing for MapReduce-based Entity Resolution

APEG: Adaptive Physical Layer Authentication with Channel Extrapolation and Generative AI

Who Needs MLOps: What Data Scientists Seek to Accomplish and How Can MLOps Help?

The Inductive Bias of Quantum Kernels

A Contemporary Survey on Fluid Antenna Systems: Fundamentals and Networking Perspectives

Do LLMs Have Visualization Literacy? An Evaluation on Modified Visualizations to Test Generalization in Data Interpretation

Pro-Router: Token-Aware Progressive Model Routing with Adaptive Edge-Cloud Collaboration for Efficient Multimodal LLM Inference

Global convergence rate analysis of unconstrained optimization methods based on probabilistic models

"Humans welcome to observe": A First Look at the Agent Social Network Moltbook

The University of Edinburgh's Neural MT Systems for WMT17

RACER: Reinforced Agent Collaboration for Explainable Reasoning on Knowledge Graphs

Deep Reinforcement Learning for Energy Efficiency Maximization in RSMA-IRS-Assisted ISAC System

Decoupling the Depth and Scope of Graph Neural Networks

TLA: Tactile-Language-Action Model for Contact-Rich Manipulation

EML-NET:An Expandable Multi-Layer NETwork for Saliency Prediction

Benevolent Bias in Multi-Turn Human-Agent Dialogue

Fast Training of Diffusion Models with Masked Transformers

Reward Hacking Benchmark: Measuring Exploits in LLM Agents with Tool Use

MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration

Learning Domain-Invariant Subspace using Domain Features and Independence Maximization

Hierarchical Semantic-Augmented Navigation: Optimal Transport and Graph-Driven Reasoning for Vision-Language Navigation

UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens

B$^3$-PWL: GPU-Batched Branch-and-Bound for Piecewise-Linear Optimization with SOS2 Constraints

GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras

A Survey on Privacy Risks and Protection in Large Language Models

Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs

Legacy System Modernization with Coding Agents: A Case Study

ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario

Unsupervised Prompt Learning for Vision-Language Models

The Leaderboard Illusion

Keyword Transformer: A Self-Attention Model for Keyword Spotting