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)

72,721 to 72,780 of 105,504

Implementing Grover oracles for quantum key search on AES and LowMC
Samuel Jaques, Michael Naehrig, Martin Roetteler +1
quant-phcs.ETarXiv:1910.01700v12019
Attention Mechanisms in Computer Vision: A Survey
Meng-Hao Guo, Tian-Xing Xu, Jiang-Jiang Liu +7
cs.CVarXiv:2111.07624v12021
Prophet Inequalities Made Easy: Stochastic Optimization by Pricing Non-Stochastic Inputs
Paul Dütting, Michal Feldman, Thomas Kesselheim +1
cs.GTcs.DSarXiv:1612.03161v22016
ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning
Chi-Pin Huang, Yueh-Hua Wu, Min-Hung Chen +2
cs.CVcs.AIcs.LGarXiv:2507.16815v22025
Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models
Tianyi Tang, Wenyang Luo, Haoyang Huang +5
cs.CLarXiv:2402.16438v22024
Simple Feedfoward Neural Networks are Almost All You Need for Time Series Forecasting
Fan-Keng Sun, Yu-Cheng Wu, Duane S. Boning
cs.LGarXiv:2503.23621v12025
World Action Models are Zero-shot Policies
Seonghyeon Ye, Yunhao Ge, Kaiyuan Zheng +33
cs.ROcs.CVcs.LGarXiv:2602.15922v12026
Efficient discovery of unique column combinations on disk-resident data with limited memory
Xiaolong Wan, Xixian Han
cs.DBarXiv:2609.00783v12026
Deep learning cardiac motion analysis for human survival prediction
Ghalib A. Bello, Timothy J. W. Dawes, Jinming Duan +8
cs.LGcs.CVstat.MLarXiv:1810.03382v12018
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion
Kun Zhou, Wayne Xin Zhao, Shuqing Bian +3
cs.CLcs.AIcs.IRarXiv:2007.04032v12020
Few-Step Generation via Data-Space Iteration
Shanchuan Lin, Yansong Peng, Fu-Yun Wang +1
cs.LGcs.CVarXiv:2610.12102v12026
A Deployable Architecture for Robot-Mediated Tasks (DART): Evaluation in Socially Assistive Robot-Guided Cognitive Behavioral Therapy Exercises
Mina Kian, Lydia Ignatova, Jiong Wang +12
cs.ROarXiv:2609.12349v12026
Position: Want Better ML Reviews? Stop Asking Nicely and Start Incentivizing with a Credit System
Shaochen Zhong
cs.AIcs.DLarXiv:2608.14571v12026
Clustering and Unsupervised Anomaly Detection with L2 Normalized Deep Auto-Encoder Representations
Caglar Aytekin, Xingyang Ni, Francesco Cricri +1
cs.LGarXiv:1802.00187v12018
ConventionPlay: Capability-Limited Training for Robust Ad-Hoc Collaboration
Abhishek Sriraman, Eleni Vasilaki, Robert Loftin
cs.MAarXiv:2610.11842v12026
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks
Ziyan Jiang, Rui Meng, Xinyi Yang +3
cs.CVcs.AIcs.CLarXiv:2410.05160v32024
P1: Mastering Physics Olympiads with Reinforcement Learning
Jiacheng Chen, Qianjia Cheng, Fangchen Yu +25
cs.LGcs.AIcs.CLarXiv:2511.13612v12025
SEAD: Self-Evolving Agent for Multi-Turn Service Dialogue
Yuqin Dai, Ning Gao, Wei Zhang +6
cs.CLarXiv:2602.03548v32026
ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation
Shengze Li, Jianjian Cao, Peng Ye +3
cs.CVcs.AIarXiv:2401.12665v22024
Formal Model Construction Guided by Model-Based Proof Sketches
Hongshu Wang, Xinyue Zuo, Yufan Cai +3
cs.SEarXiv:2609.29870v12026
Reverse Curriculum Generation for Reinforcement Learning
Carlos Florensa, David Held, Markus Wulfmeier +2
cs.AIcs.LGcs.NEarXiv:1707.05300v32017
Differentiable Systematic Resampling for Variational Sequential Monte Carlo
Fredrik Cumlin, Saikat Chatterjee
stat.MLcs.LGeess.SParXiv:2610.12094v12026
TopRank: A practical algorithm for online stochastic ranking
Tor Lattimore, Branislav Kveton, Shuai Li +1
stat.MLcs.LGarXiv:1806.02248v22018
Exact Common Information and Exact Channel Synthesis for Correlated Gaussian Sources
Lei Yu
cs.ITarXiv:2608.26012v12026
Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge
Ryan J. Gallagher, Kyle Reing, David Kale +1
cs.CLcs.IRcs.ITarXiv:1611.10277v42016
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen +17
cs.AIcs.CVcs.HCarXiv:1909.03012v22019
Decoupling Knowledge and Privacy: Post-Task Self-Distillation Replay for LLM Continual Learning
Shengtao Wen, Yunying Yang, Xiang Chen +3
cs.LGcs.AIarXiv:2609.29711v12026
WeSCE: A Benchmark for Measuring Security Drift in LLM-Driven Code Editing
Zhiyu Zhang, Tingyue Wen, Senke Sun +2
cs.CRcs.AIcs.SEarXiv:2608.15092v12026
Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks
Tianhe Ren, Shilong Liu, Ailing Zeng +14
cs.CVarXiv:2401.14159v12024
Judging LLM-as-a-Judge: Concerning Rubric Artifacts in LLM-based Automated Text Generation Evaluation
Anshul Bagaria, Sowmya S Sundaram, Gokul S Krishnan +1
cs.CLcs.AIarXiv:2609.02942v12026
Engineering discrete local dynamics in globally driven dual-species atom arrays
Francesco Cesa, Andrea Di Fini, David Aram Korbany +4
quant-phcond-mat.stat-mechphysics.atom-pharXiv:2601.16961v12026
Beyond Fixed: Training-Free Variable-Length Denoising for Diffusion Large Language Models
Jinsong Li, Xiaoyi Dong, Yuhang Zang +3
cs.CLarXiv:2508.00819v22025
Improving Vision-Language-Action Model with Online Reinforcement Learning
Yanjiang Guo, Jianke Zhang, Xiaoyu Chen +4
cs.ROcs.CVcs.LGarXiv:2501.16664v12025
Scaling Laws for Generative Mixed-Modal Language Models
Armen Aghajanyan, Lili Yu, Alexis Conneau +7
cs.CLcs.AIcs.LGarXiv:2301.03728v12023
Smoothed Dilated Convolutions for Improved Dense Prediction
Zhengyang Wang, Shuiwang Ji
cs.CVcs.LGarXiv:1808.08931v22018
Regularization by Denoising: Clarifications and New Interpretations
Edward T. Reehorst, Philip Schniter
cs.CVarXiv:1806.02296v42018
Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
Yuda Song, Hanlin Zhang, Carson Eisenach +3
cs.CLcs.LGarXiv:2412.02674v22024
Is Memorization Context-Sensitive? Prefix-Based Extraction Beyond Isolated Prefixes
Ali Satvaty, Narjes Sharafi, Jirui Qi +2
cs.AIarXiv:2610.12085v12026
Representational Analysis of Binding in Language Models
Qin Dai, Benjamin Heinzerling, Kentaro Inui
cs.CLarXiv:2409.05448v32024
Analyzing Transformers in Embedding Space
Guy Dar, Mor Geva, Ankit Gupta +1
cs.CLcs.LGarXiv:2209.02535v32022
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning
Peter Henderson, Jieru Hu, Joshua Romoff +3
cs.CYcs.LGarXiv:2002.05651v22020
EmoVid: A Multimodal Emotion Video Dataset for Emotion-Centric Video Understanding and Generation
Zongyang Qiu, Bingyuan Wang, Xingbei Chen +2
cs.CVarXiv:2511.11002v12025
Financial Fraud Detection Using Explainable AI and Stacking Ensemble Methods
Fahad Almalki, Mehedi Masud
cs.LGcs.AIarXiv:2505.10050v12025
Sparsifying Priors for Bayesian Uncertainty Quantification in Model Discovery
Seth M. Hirsh, David A. Barajas-Solano, J. Nathan Kutz
math.DSarXiv:2107.02107v12021
Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors
Moshe Mishali, Yonina C. Eldar
nlin.CGarXiv:0802.1311v12008
Weisfeiler and Lehman Go Cellular: CW Networks
Cristian Bodnar, Fabrizio Frasca, Nina Otter +4
cs.LGstat.MLarXiv:2106.12575v32021
WholeBodyVLA: Towards Unified Latent VLA for Whole-Body Loco-Manipulation Control
Haoran Jiang, Jin Chen, Qingwen Bu +8
cs.ROcs.AIcs.CVarXiv:2512.11047v22025
UniCom: Unified Multimodal Modeling via Compressed Continuous Semantic Representations
Yaqi Zhao, Wang Lin, Zijian Zhang +5
cs.CVarXiv:2603.10702v12026
Prompting PaLM for Translation: Assessing Strategies and Performance
David Vilar, Markus Freitag, Colin Cherry +3
cs.CLarXiv:2211.09102v32022
A 27 x 27 x 27 counterexample to Comon's conjecture
Benjamin Lovitz
math.COcs.DSmath.AGarXiv:2609.28292v12026
The Role of Information Diffusion in the Evolution of Social Networks
Lilian Weng, Jacob Ratkiewicz, Nicola Perra +6
cs.SIcs.CYphysics.soc-pharXiv:1302.6276v22013
Photorealistic Facial Texture Inference Using Deep Neural Networks
Shunsuke Saito, Lingyu Wei, Liwen Hu +2
cs.CVcs.GRarXiv:1612.00523v12016
Evaluating AI Recruitment Sourcing Tools by Human Preference
Vladimir Slaykovskiy, Maksim Zvegintsev, Yury Sakhonchyk +1
cs.IRcs.AIarXiv:2504.02463v12025
Towards Scaling Reinforcement Learning to Massive Populations: Learning Mean-Field Representations
Aditya Makkar, Benjamin Unger, Jeongyeol Kwon +3
cs.MAcs.LGstat.MLarXiv:2609.02928v12026
Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration
Rouhollah Rahmatizadeh, Pooya Abolghasemi, Ladislau Bölöni +1
cs.LGcs.AIcs.ROarXiv:1707.02920v22017
VideoMLA: Low-Rank Latent KV Cache for Minute-Scale Autoregressive Video Diffusion
Hidir Yesiltepe, Jiazhen Hu, Tuna Han Salih Meral +4
cs.CVcs.AIarXiv:2605.30351v12026
ShutterMuse: Capture-Time Photography Guidance with MLLMs
Jiayu Li, Yixiao Fang, Tianyu Hu +5
cs.CVarXiv:2606.25763v12026
Summaries:한국어
Beyond Linearization: On Quadratic and Higher-Order Approximation of Wide Neural Networks
Yu Bai, Jason D. Lee
cs.LGmath.OCstat.MLarXiv:1910.01619v22019
STAR: Sparse Tactile Representation Learning in Vision-Tactile-Language-Action Models for Dexterous Manipulation
Xiangcheng Liu, Tianhao Wu, Le Zheng +6
cs.ROarXiv:2609.12549v22026
An Overview of Robust Subspace Recovery
Gilad Lerman, Tyler Maunu
cs.LGstat.MLarXiv:1803.01013v22018

Every paper with a summary

Implementing Grover oracles for quantum key search on AES and LowMC

Attention Mechanisms in Computer Vision: A Survey

Prophet Inequalities Made Easy: Stochastic Optimization by Pricing Non-Stochastic Inputs

ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning

Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models

Simple Feedfoward Neural Networks are Almost All You Need for Time Series Forecasting

World Action Models are Zero-shot Policies

Efficient discovery of unique column combinations on disk-resident data with limited memory

Deep learning cardiac motion analysis for human survival prediction

Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion

Few-Step Generation via Data-Space Iteration

A Deployable Architecture for Robot-Mediated Tasks (DART): Evaluation in Socially Assistive Robot-Guided Cognitive Behavioral Therapy Exercises

Position: Want Better ML Reviews? Stop Asking Nicely and Start Incentivizing with a Credit System

Clustering and Unsupervised Anomaly Detection with L2 Normalized Deep Auto-Encoder Representations

ConventionPlay: Capability-Limited Training for Robust Ad-Hoc Collaboration

VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks

P1: Mastering Physics Olympiads with Reinforcement Learning

SEAD: Self-Evolving Agent for Multi-Turn Service Dialogue

ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation

Formal Model Construction Guided by Model-Based Proof Sketches

Reverse Curriculum Generation for Reinforcement Learning

Differentiable Systematic Resampling for Variational Sequential Monte Carlo

TopRank: A practical algorithm for online stochastic ranking

Exact Common Information and Exact Channel Synthesis for Correlated Gaussian Sources

Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

Decoupling Knowledge and Privacy: Post-Task Self-Distillation Replay for LLM Continual Learning

WeSCE: A Benchmark for Measuring Security Drift in LLM-Driven Code Editing

Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

Judging LLM-as-a-Judge: Concerning Rubric Artifacts in LLM-based Automated Text Generation Evaluation

Engineering discrete local dynamics in globally driven dual-species atom arrays

Beyond Fixed: Training-Free Variable-Length Denoising for Diffusion Large Language Models

Improving Vision-Language-Action Model with Online Reinforcement Learning

Scaling Laws for Generative Mixed-Modal Language Models

Smoothed Dilated Convolutions for Improved Dense Prediction

Regularization by Denoising: Clarifications and New Interpretations

Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models

Is Memorization Context-Sensitive? Prefix-Based Extraction Beyond Isolated Prefixes

Representational Analysis of Binding in Language Models

Analyzing Transformers in Embedding Space

Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning

EmoVid: A Multimodal Emotion Video Dataset for Emotion-Centric Video Understanding and Generation

Financial Fraud Detection Using Explainable AI and Stacking Ensemble Methods

Sparsifying Priors for Bayesian Uncertainty Quantification in Model Discovery

Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors

Weisfeiler and Lehman Go Cellular: CW Networks

WholeBodyVLA: Towards Unified Latent VLA for Whole-Body Loco-Manipulation Control

UniCom: Unified Multimodal Modeling via Compressed Continuous Semantic Representations

Prompting PaLM for Translation: Assessing Strategies and Performance

A 27 x 27 x 27 counterexample to Comon's conjecture

The Role of Information Diffusion in the Evolution of Social Networks

Photorealistic Facial Texture Inference Using Deep Neural Networks

Evaluating AI Recruitment Sourcing Tools by Human Preference

Towards Scaling Reinforcement Learning to Massive Populations: Learning Mean-Field Representations

Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration

VideoMLA: Low-Rank Latent KV Cache for Minute-Scale Autoregressive Video Diffusion

ShutterMuse: Capture-Time Photography Guidance with MLLMs

Beyond Linearization: On Quadratic and Higher-Order Approximation of Wide Neural Networks

STAR: Sparse Tactile Representation Learning in Vision-Tactile-Language-Action Models for Dexterous Manipulation

An Overview of Robust Subspace Recovery