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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22,381 to 22,440 of 61,229

An All-in-One Network for Dehazing and Beyond
Boyi Li, Xiulian Peng, Zhangyang Wang +2
cs.CVcs.AIarXiv:1707.06543v12017
Introduction to Machine Learning
Laurent Younes
stat.MLcs.LGarXiv:2409.02668v22024
Flexible-Antenna Systems: A Pinching-Antenna Perspective
Zhiguo Ding, Robert Schober, H. Vincent Poor
cs.ITeess.SParXiv:2412.02376v12024
LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals
Joon Sung Park, Carolyn Q. Zou, Jonne Kamphorst +8
cs.AIcs.HCcs.LGarXiv:2411.10109v32024
Taming Visually Guided Sound Generation
Vladimir Iashin, Esa Rahtu
cs.CVcs.AIcs.LGarXiv:2110.08791v12021
From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning
Juan Diego Toscano, Vivek Oommen, Alan John Varghese +4
cs.LGcs.AIphysics.comp-pharXiv:2410.13228v22024
Fast-dLLM v2: Efficient Block-Diffusion LLM
Chengyue Wu, Hao Zhang, Shuchen Xue +7
cs.CLarXiv:2509.26328v12025
A Survey on Diffusion Models for Inverse Problems
Giannis Daras, Hyungjin Chung, Chieh-Hsin Lai +5
cs.LGcs.AIcs.CVarXiv:2410.00083v12024
A Framework for the Robust Evaluation of Sound Event Detection
Cagdas Bilen, Giacomo Ferroni, Francesco Tuveri +2
eess.AScs.SDarXiv:1910.08440v22019
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing
Zhangchen Xu, Fengqing Jiang, Luyao Niu +4
cs.CLcs.AIarXiv:2406.08464v22024
Summaries:한국어
Simple and Effective Masked Diffusion Language Models
Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff +5
cs.CLcs.AIcs.LGarXiv:2406.07524v22024
InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation
Haofan Wang, Matteo Spinelli, Qixun Wang +3
cs.CVarXiv:2404.02733v22024
CoEvoSkills: Self-Evolving Agent Skills via Co-Evolutionary Verification
Hanrong Zhang, Shicheng Fan, Henry Peng Zou +11
cs.AIarXiv:2604.01687v32026
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
Luca Soldaini, Rodney Kinney, Akshita Bhagia +33
cs.CLarXiv:2402.00159v22024
RewardBench: Evaluating Reward Models for Language Modeling
Nathan Lambert, Valentina Pyatkin, Jacob Morrison +9
cs.LGarXiv:2403.13787v22024
Keeping it Simple: Language Models can learn Complex Molecular Distributions
Daniel Flam-Shepherd, Kevin Zhu, Alán Aspuru-Guzik
cs.LGcs.AIq-bio.QMarXiv:2112.03041v12021
AnalysisBank: An Expert Analysis Pattern Library for Financial Report Generation
Yajing Yang, Yunshan Ma, Kelvin J. L. Koa +1
cs.AIarXiv:2609.00818v12026
Artificial Intelligence for Literature Reviews: Opportunities and Challenges
Francisco Bolanos, Angelo Salatino, Francesco Osborne +1
cs.AIcs.HCcs.IRarXiv:2402.08565v22024
Rate Maximization for Downlink Pinching-Antenna Systems
Yanqing Xu, Zhiguo Ding, George K. Karagiannidis
cs.ITeess.SParXiv:2502.12629v12025
Exploring consumers response to text-based chatbots in e-commerce: The moderating role of task complexity and chatbot disclosure
Xusen Cheng, Ying Bao, Alex Zarifis +2
cs.AIarXiv:2401.12247v12024
Rethinking FID: Towards a Better Evaluation Metric for Image Generation
Sadeep Jayasumana, Srikumar Ramalingam, Andreas Veit +3
cs.CVarXiv:2401.09603v22023
Momentum Improves Normalized SGD
Ashok Cutkosky, Harsh Mehta
cs.LGmath.OCstat.MLarXiv:2002.03305v22020
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
Shengbang Tong, Zhuang Liu, Yuexiang Zhai +3
cs.CVarXiv:2401.06209v22024
Hiding Among the Clones: A Simple and Nearly Optimal Analysis of Privacy Amplification by Shuffling
Vitaly Feldman, Audra McMillan, Kunal Talwar
cs.LGcs.CRcs.DSarXiv:2012.12803v32020
Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context
Yichi Zhang, Zhijian Ou, Zhou Yu
cs.CLcs.AIarXiv:1911.10484v22019
Residual Sparsification via Output Importance for Compressing Mixture-of-Experts LLMs
Seungwoo Jung, Dohyeok Kwon, Seungmin Cha +4
cs.AIarXiv:2609.00575v22026
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models
Xubin Wang, Zhiqing Tang, Jianxiong Guo +4
cs.AIcs.LGcs.NIarXiv:2503.06027v22025
Demonstration of fidelity improvement using dynamical decoupling with superconducting qubits
Bibek Pokharel, Namit Anand, Benjamin Fortman +1
quant-pharXiv:1807.08768v22018
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives
Kristen Grauman, Andrew Westbury, Lorenzo Torresani +98
cs.CVcs.AIarXiv:2311.18259v42023
Further Remarks on Separating Words
John Nicol
cs.FLarXiv:2608.30928v12026
FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving
Shuang Zeng, Xinyuan Chang, Mengwei Xie +6
cs.CVarXiv:2505.17685v32025
Point Transformer V3: Simpler, Faster, Stronger
Xiaoyang Wu, Li Jiang, Peng-Shuai Wang +6
cs.CVarXiv:2312.10035v22023
Photorealistic Video Generation with Diffusion Models
Agrim Gupta, Lijun Yu, Kihyuk Sohn +6
cs.CVcs.AIcs.LGarXiv:2312.06662v12023
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning
Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu +5
cs.CLcs.AIarXiv:2312.01552v12023
Generative Adversarial Networks: A Survey Towards Private and Secure Applications
Zhipeng Cai, Zuobin Xiong, Honghui Xu +3
cs.LGcs.CRarXiv:2106.03785v12021
Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation
Sangho Suh, Meng Chen, Bryan Min +2
cs.HCcs.AIarXiv:2310.12953v32023
Towards Understanding Sycophancy in Language Models
Mrinank Sharma, Meg Tong, Tomasz Korbak +16
cs.CLcs.AIcs.LGarXiv:2310.13548v42023
VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks
Yu Yue, Yufeng Yuan, Qiying Yu +24
cs.AIarXiv:2504.05118v32025
Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs
Ming Jin, Yu Zheng, Yuan-Fang Li +3
cs.LGarXiv:2202.08408v22022
T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT
Dongzhi Jiang, Ziyu Guo, Renrui Zhang +6
cs.CVcs.AIcs.CLarXiv:2505.00703v22025
How Do Prompt Variations Affect Energy Consumption in On-Device LLMs?
Wei Hu, Xiaolong Tu, Dawei Chen +3
cs.CLarXiv:2609.01798v12026
Physics-Driven Independent Pair Generation for Iterative Self-Supervised Low-Dose CT Denoising
Xianlei Han, Shaoyu Wang, Jiancheng Fang +2
cs.CVarXiv:2609.02654v12026
The Web of False Information: Rumors, Fake News, Hoaxes, Clickbait, and Various Other Shenanigans
Savvas Zannettou, Michael Sirivianos, Jeremy Blackburn +1
cs.SIcs.CYarXiv:1804.03461v32018
Emergent Introspective Awareness in Large Language Models
Jack Lindsey
cs.CLcs.AIarXiv:2601.01828v12026
Deep Multiagent Reinforcement Learning: Challenges and Directions
Annie Wong, Thomas Bäck, Anna V. Kononova +1
cs.LGcs.AIcs.MAarXiv:2106.15691v22021
One Print, Many Moves: Monolithic Origami-inspired Folding Actuator for Composable Soft Multi-DoF Systems
Jaehyung Jang, Zhenish Zhakypov, Jasmin Elena Palmer +3
cs.ROarXiv:2609.00751v12026
Multimodal Foundation Models: From Specialists to General-Purpose Assistants
Chunyuan Li, Zhe Gan, Zhengyuan Yang +4
cs.CVcs.CLarXiv:2309.10020v12023
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
Kai He, Rui Mao, Qika Lin +4
cs.CLarXiv:2310.05694v32023
Identifying the Risks of LM Agents with an LM-Emulated Sandbox
Yangjun Ruan, Honghua Dong, Andrew Wang +6
cs.AIcs.CLcs.LGarXiv:2309.15817v22023
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao +6
cs.LGcs.AIcs.CVarXiv:2310.02279v32023
Consciousness in Artificial Intelligence: Insights from the Science of Consciousness
Patrick Butlin, Robert Long, Eric Elmoznino +16
cs.AIcs.CYcs.LGarXiv:2308.08708v32023
AlpaGasus: Training A Better Alpaca with Fewer Data
Lichang Chen, Shiyang Li, Jun Yan +8
cs.CLarXiv:2307.08701v52023
Personality Traits in Large Language Models
Greg Serapio-García, Mustafa Safdari, Clément Crepy +6
cs.CLcs.AIcs.CYarXiv:2307.00184v42023
Self-Consuming Generative Models Go MAD
Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi +5
cs.LGcs.AIcs.CVarXiv:2307.01850v12023
Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracy
Clare McGenity, Emily L Clarke, Charlotte Jennings +5
physics.med-phcs.AIcs.CVarXiv:2306.07999v32023
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources
Yizhong Wang, Hamish Ivison, Pradeep Dasigi +8
cs.CLarXiv:2306.04751v22023
Roadmapping the Next Generation of Silicon Photonics
Sudip Shekhar, Wim Bogaerts, Lukas Chrostowski +4
physics.opticsphysics.app-pharXiv:2305.15820v22023
Generative Diffusion Prior for Unified Image Restoration and Enhancement
Ben Fei, Zhaoyang Lyu, Liang Pan +5
cs.CVarXiv:2304.01247v12023
ChatGPT for Shaping the Future of Dentistry: The Potential of Multi-Modal Large Language Model
Hanyao Huang, Ou Zheng, Dongdong Wang +8
cs.CLcs.AIarXiv:2304.03086v22023
WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research
Xinhao Mei, Chutong Meng, Haohe Liu +6
eess.AScs.CLcs.MMarXiv:2303.17395v22023

Every paper with a summary

An All-in-One Network for Dehazing and Beyond

Introduction to Machine Learning

Flexible-Antenna Systems: A Pinching-Antenna Perspective

LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals

Taming Visually Guided Sound Generation

From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning

Fast-dLLM v2: Efficient Block-Diffusion LLM

A Survey on Diffusion Models for Inverse Problems

A Framework for the Robust Evaluation of Sound Event Detection

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Simple and Effective Masked Diffusion Language Models

InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation

CoEvoSkills: Self-Evolving Agent Skills via Co-Evolutionary Verification

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research

RewardBench: Evaluating Reward Models for Language Modeling

Keeping it Simple: Language Models can learn Complex Molecular Distributions

AnalysisBank: An Expert Analysis Pattern Library for Financial Report Generation

Artificial Intelligence for Literature Reviews: Opportunities and Challenges

Rate Maximization for Downlink Pinching-Antenna Systems

Exploring consumers response to text-based chatbots in e-commerce: The moderating role of task complexity and chatbot disclosure

Rethinking FID: Towards a Better Evaluation Metric for Image Generation

Momentum Improves Normalized SGD

Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs

Hiding Among the Clones: A Simple and Nearly Optimal Analysis of Privacy Amplification by Shuffling

Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context

Residual Sparsification via Output Importance for Compressing Mixture-of-Experts LLMs

Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models

Demonstration of fidelity improvement using dynamical decoupling with superconducting qubits

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives

Further Remarks on Separating Words

FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving

Point Transformer V3: Simpler, Faster, Stronger

Photorealistic Video Generation with Diffusion Models

The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning

Generative Adversarial Networks: A Survey Towards Private and Secure Applications

Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation

Towards Understanding Sycophancy in Language Models

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

How Do Prompt Variations Affect Energy Consumption in On-Device LLMs?

Physics-Driven Independent Pair Generation for Iterative Self-Supervised Low-Dose CT Denoising

The Web of False Information: Rumors, Fake News, Hoaxes, Clickbait, and Various Other Shenanigans

Emergent Introspective Awareness in Large Language Models

Deep Multiagent Reinforcement Learning: Challenges and Directions

One Print, Many Moves: Monolithic Origami-inspired Folding Actuator for Composable Soft Multi-DoF Systems

Multimodal Foundation Models: From Specialists to General-Purpose Assistants

A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics

Identifying the Risks of LM Agents with an LM-Emulated Sandbox

Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion

Consciousness in Artificial Intelligence: Insights from the Science of Consciousness

AlpaGasus: Training A Better Alpaca with Fewer Data

Personality Traits in Large Language Models

Self-Consuming Generative Models Go MAD

Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracy

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources

Roadmapping the Next Generation of Silicon Photonics

Generative Diffusion Prior for Unified Image Restoration and Enhancement

ChatGPT for Shaping the Future of Dentistry: The Potential of Multi-Modal Large Language Model

WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research