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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53,041 to 53,100 of 119,758

Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation
Xiaobing Wang, Yingying Jiang, Zhenbo Luo +3
cs.CVarXiv:1905.05980v12019
On Submodularity and Controllability in Complex Dynamical Networks
Tyler H. Summers, Fabrizio L. Cortesi, John Lygeros
math.OCeess.SYarXiv:1404.7665v32014
Overview of PAN 2026: Voight-Kampff Generative AI Detection, Text Watermarking, Multi-Author Writing Style Analysis, Generative Plagiarism Detection, and Reasoning Trajectory Detection
Janek Bevendorff, Maik Fröbe, André Greiner-Petter +9
cs.CLarXiv:2602.09147v12026
Benchmarking Model-Based Reinforcement Learning
Tingwu Wang, Xuchan Bao, Ignasi Clavera +7
cs.LGcs.AIcs.ROarXiv:1907.02057v12019
Does Prompt Formatting Have Any Impact on LLM Performance?
Jia He, Mukund Rungta, David Koleczek +3
cs.CLcs.LGarXiv:2411.10541v12024
Concurrent Training of a Control Policy and a State Estimator for Dynamic and Robust Legged Locomotion
Gwanghyeon Ji, Juhyeok Mun, Hyeongjun Kim +1
cs.ROcs.LGeess.SYarXiv:2202.05481v22022
Pretrained Transformers as Universal Computation Engines
Kevin Lu, Aditya Grover, Pieter Abbeel +1
cs.LGcs.AIarXiv:2103.05247v22021
Temporal Preference Optimization for Long-Form Video Understanding
Rui Li, Xiaohan Wang, Yuhui Zhang +3
cs.CVcs.AIcs.CLarXiv:2501.13919v32025
Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization
Mohammad Pedramfar, Yididiya Y. Nadew, Christopher J. Quinn +1
cs.LGcs.AIcs.CCarXiv:2403.10063v22024
Convex Optimization for Big Data
Volkan Cevher, Stephen Becker, Mark Schmidt
math.OCcs.LGstat.MLarXiv:1411.0972v12014
WHALE: A Simple Recipe for Joint Harness-Weight Optimization
Haechan Kim, Yoonho Lee, Gisang Lee +2
cs.LGcs.AIarXiv:2609.00196v12026
Monotone operator equilibrium networks
Ezra Winston, J. Zico Kolter
cs.LGstat.MLarXiv:2006.08591v22020
Friendship networks and social status
Brian Ball, M. E. J. Newman
cs.SIphysics.soc-pharXiv:1205.6822v12012
Random Feature Expansions for Deep Gaussian Processes
Kurt Cutajar, Edwin V. Bonilla, Pietro Michiardi +1
stat.MLstat.COarXiv:1610.04386v22016
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements
Alex Havrilla, Sharath Raparthy, Christoforus Nalmpantis +4
cs.CLcs.LGarXiv:2402.10963v22024
Joint Altitude, Beamwidth, Location and Bandwidth Optimization for UAV-Enabled Communications
Zhaohui Yang, Cunhua Pan, Mohammad Shikh-Bahaei +4
cs.ITmath.ITarXiv:1806.02221v12018
From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents
Md Nayem Uddin, Kumar Shubham, Eduardo Blanco +2
cs.CLarXiv:2604.20006v12026
Direction-Preserving Active Noise Control with a Conditional Control-Filter Estimation Network
Ziyi Yang, Zhengding Luo, Boxiang Wang +2
eess.ASarXiv:2609.07173v12026
Social Learning and Distributed Hypothesis Testing
Anusha Lalitha, Tara Javidi, Anand Sarwate
math.STcs.ITmath.OCarXiv:1410.4307v52014
Summaries:한국어
Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks
Andrea Sottana, Bin Liang, Kai Zou +1
cs.CLarXiv:2310.13800v12023
Data-Efficient Reinforcement Learning with Self-Predictive Representations
Max Schwarzer, Ankesh Anand, Rishab Goel +3
cs.LGstat.MLarXiv:2007.05929v42020
Fast-SCNN: Fast Semantic Segmentation Network
Rudra P K Poudel, Stephan Liwicki, Roberto Cipolla
cs.CVarXiv:1902.04502v12019
Class-prior Estimation for Learning from Positive and Unlabeled Data
Marthinus C. du Plessis, Gang Niu, Masashi Sugiyama
cs.LGstat.MLarXiv:1611.01586v12016
Learning a Discriminative Prior for Blind Image Deblurring
Lerenhan Li, Jinshan Pan, Wei-Sheng Lai +3
cs.CVarXiv:1803.03363v22018
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism
Chengcheng Wang, Wei He, Ying Nie +4
cs.CVcs.AIarXiv:2309.11331v52023
Provably Efficient Federated Reinforcement Learning with Linear Function Approximation and Logarithmic Communication Cost
Zihang Liang, Haochen Zhang, Lingzhou Xue
stat.MLcs.AIcs.LGarXiv:2609.00193v12026
Artificial Intelligence for Energy Optimization in Data Centers
Mohammed Basharath Ullah, Summaiya Unnisa Begum, Mohammed Nadeem Ullah
cs.AIcs.LGarXiv:2609.03716v12026
modeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models
Nathan A. Chi, Teodor Malchev, Riley Kong +5
cs.CLarXiv:2406.17038v12024
ALICE: In-context, Zero-shot, Mutual Information Estimation
Giulio Franzese, Simone Rossi, Pietro Michiardi
cs.LGarXiv:2609.34962v22026
Reconstructive Sequence-Graph Network for Video Summarization
Bin Zhao, Haopeng Li, Xiaoqiang Lu +1
cs.CVcs.AIarXiv:2105.04066v12021
Fast machine-learning online optimization of ultra-cold-atom experiments
P. B. Wigley, P. J. Everitt, A. van den Hengel +12
quant-pharXiv:1507.04964v22015
Learning to Diversify for Single Domain Generalization
Zijian Wang, Yadan Luo, Ruihong Qiu +2
cs.CVarXiv:2108.11726v32021
Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks
Le Hou, Chen-Ping Yu, Dimitris Samaras
cs.CVarXiv:1611.05916v42016
TIPS: Turn-Level Information-Potential Reward Shaping for Search-Augmented LLMs
Yutao Xie, Nathaniel Thomas, Nicklas Hansen +3
cs.CLcs.AIcs.LGarXiv:2603.22293v12026
Forecasting Sequential Data using Consistent Koopman Autoencoders
Omri Azencot, N. Benjamin Erichson, Vanessa Lin +1
physics.comp-phcs.LGmath.DSarXiv:2003.02236v22020
GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation
An Yan, Zhengyuan Yang, Wanrong Zhu +9
cs.CVcs.AIarXiv:2311.07562v12023
EmoLLM: Multimodal Emotional Understanding Meets Large Language Models
Qu Yang, Mang Ye, Bo Du
cs.CVarXiv:2406.16442v22024
Proximity3D: Shape from Capacitive Proximity on Sensing Manifold
Hao Chen, Chenming Wu, Chun Ping Lam +6
cs.CVcs.CGcs.GRarXiv:2608.30344v22026
Krylov complexity from integrability to chaos
E. Rabinovici, A. Sánchez-Garrido, R. Shir +1
hep-thcond-mat.str-elquant-pharXiv:2207.07701v22022
Orthogonal Deep Neural Networks
Kui Jia, Shuai Li, Yuxin Wen +2
cs.LGcs.CVstat.MLarXiv:1905.05929v22019
Echo Chambers: Emotional Contagion and Group Polarization on Facebook
Michela Del Vicario, Gianna Vivaldo, Alessandro Bessi +4
physics.soc-phcs.SIarXiv:1607.01032v12016
The Dawn of GUI Agent: A Preliminary Case Study with Claude 3.5 Computer Use
Siyuan Hu, Mingyu Ouyang, Difei Gao +1
cs.AIcs.CLcs.CVarXiv:2411.10323v12024
Addressing Overcommitment in the Reasoning of Gendered Economic Memes under Multimodal Ambiguity
Kushal Kanwar, Dushyant Singh Chauhan, Kapil Rana +2
cs.LGarXiv:2610.11724v12026
Deep reinforcement learning in medical imaging: A literature review
S. Kevin Zhou, Hoang Ngan Le, Khoa Luu +2
eess.IVcs.CVcs.LGarXiv:2103.05115v12021
StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks
Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka +1
cs.SDcs.LGeess.ASarXiv:1806.02169v22018
Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning
Zebang Cheng, Zhi-Qi Cheng, Jun-Yan He +6
cs.AIcs.MMarXiv:2406.11161v22024
Identification of core-periphery structure in networks
Xiao Zhang, Travis Martin, M. E. J. Newman
cs.SIcond-mat.stat-mechphysics.soc-pharXiv:1409.4813v12014
A Survey on Trustworthy Recommender Systems
Yingqiang Ge, Shuchang Liu, Zuohui Fu +6
cs.IRarXiv:2207.12515v22022
Mechanistic Interpretability for AI Safety -- A Review
Leonard Bereska, Efstratios Gavves
cs.AIarXiv:2404.14082v32024
An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities
Zezhou Yang, Sirong Chen, Cuiyun Gao +4
cs.SEarXiv:2501.13742v12025
The History and Risks of Reinforcement Learning and Human Feedback
Nathan Lambert, Thomas Krendl Gilbert, Tom Zick
cs.CYarXiv:2310.13595v22023
An Efficient Lorentz Equivariant Graph Neural Network for Jet Tagging
Shiqi Gong, Qi Meng, Jue Zhang +6
hep-phhep-exarXiv:2201.08187v62022
DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
Chong Mou, Xintao Wang, Jiechong Song +2
cs.CVarXiv:2307.02421v22023
EvoGenUI-Bench: Evaluating LLMs as Multi-Turn Generative UI Assistants
Yue Peng, Lanke Xia, Zihan Wang +3
cs.AIcs.SEarXiv:2608.29387v12026
Relational Graph Attention Network for Aspect-based Sentiment Analysis
Kai Wang, Weizhou Shen, Yunyi Yang +2
cs.CLcs.LGarXiv:2004.12362v12020
Artificial Expert Intelligence through PAC-reasoning
Shai Shalev-Shwartz, Amnon Shashua, Gal Beniamini +6
cs.AIcs.CLcs.LGarXiv:2412.02441v12024
Language to Logical Form with Neural Attention
Li Dong, Mirella Lapata
cs.CLarXiv:1601.01280v22016
Redefining Qualitative Analysis in the AI Era: Utilizing ChatGPT for Efficient Thematic Analysis
He Zhang, Chuhao Wu, Jingyi Xie +3
cs.HCarXiv:2309.10771v32023
Information field theory for cosmological perturbation reconstruction and non-linear signal analysis
Torsten A. Ensslin, Mona Frommert, Francisco S. Kitaura
astro-phcs.IThep-tharXiv:0806.3474v32008
GuSTO: Guaranteed Sequential Trajectory Optimization via Sequential Convex Programming
Riccardo Bonalli, Abhishek Cauligi, Andrew Bylard +1
math.OCcs.ROarXiv:1903.00155v12019

Every paper with a summary

Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation

On Submodularity and Controllability in Complex Dynamical Networks

Overview of PAN 2026: Voight-Kampff Generative AI Detection, Text Watermarking, Multi-Author Writing Style Analysis, Generative Plagiarism Detection, and Reasoning Trajectory Detection

Benchmarking Model-Based Reinforcement Learning

Does Prompt Formatting Have Any Impact on LLM Performance?

Concurrent Training of a Control Policy and a State Estimator for Dynamic and Robust Legged Locomotion

Pretrained Transformers as Universal Computation Engines

Temporal Preference Optimization for Long-Form Video Understanding

Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization

Convex Optimization for Big Data

WHALE: A Simple Recipe for Joint Harness-Weight Optimization

Monotone operator equilibrium networks

Friendship networks and social status

Random Feature Expansions for Deep Gaussian Processes

GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements

Joint Altitude, Beamwidth, Location and Bandwidth Optimization for UAV-Enabled Communications

From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents

Direction-Preserving Active Noise Control with a Conditional Control-Filter Estimation Network

Social Learning and Distributed Hypothesis Testing

Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks

Data-Efficient Reinforcement Learning with Self-Predictive Representations

Fast-SCNN: Fast Semantic Segmentation Network

Class-prior Estimation for Learning from Positive and Unlabeled Data

Learning a Discriminative Prior for Blind Image Deblurring

Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism

Provably Efficient Federated Reinforcement Learning with Linear Function Approximation and Logarithmic Communication Cost

Artificial Intelligence for Energy Optimization in Data Centers

modeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models

ALICE: In-context, Zero-shot, Mutual Information Estimation

Reconstructive Sequence-Graph Network for Video Summarization

Fast machine-learning online optimization of ultra-cold-atom experiments

Learning to Diversify for Single Domain Generalization

Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks

TIPS: Turn-Level Information-Potential Reward Shaping for Search-Augmented LLMs

Forecasting Sequential Data using Consistent Koopman Autoencoders

GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation

EmoLLM: Multimodal Emotional Understanding Meets Large Language Models

Proximity3D: Shape from Capacitive Proximity on Sensing Manifold

Krylov complexity from integrability to chaos

Orthogonal Deep Neural Networks

Echo Chambers: Emotional Contagion and Group Polarization on Facebook

The Dawn of GUI Agent: A Preliminary Case Study with Claude 3.5 Computer Use

Addressing Overcommitment in the Reasoning of Gendered Economic Memes under Multimodal Ambiguity

Deep reinforcement learning in medical imaging: A literature review

StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks

Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning

Identification of core-periphery structure in networks

A Survey on Trustworthy Recommender Systems

Mechanistic Interpretability for AI Safety -- A Review

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities

The History and Risks of Reinforcement Learning and Human Feedback

An Efficient Lorentz Equivariant Graph Neural Network for Jet Tagging

DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models

EvoGenUI-Bench: Evaluating LLMs as Multi-Turn Generative UI Assistants

Relational Graph Attention Network for Aspect-based Sentiment Analysis

Artificial Expert Intelligence through PAC-reasoning

Language to Logical Form with Neural Attention

Redefining Qualitative Analysis in the AI Era: Utilizing ChatGPT for Efficient Thematic Analysis

Information field theory for cosmological perturbation reconstruction and non-linear signal analysis

GuSTO: Guaranteed Sequential Trajectory Optimization via Sequential Convex Programming