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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4,801 to 4,860 of 118,542

Model-Free Output-Admittance Reshaping for Stability Enhancement of Grid-Connected Inverters
Runnan Wang, Wanrong Li, Huawei Yuan +1
eess.SYcs.SYarXiv:2610.32095v12026
Guided Flows for Generative Modeling and Decision Making
Qinqing Zheng, Matt Le, Neta Shaul +3
cs.LGcs.AIcs.CVarXiv:2311.13443v22023
Accelerator Choice Is Not Enough: AlphaFold2 Inference on Cloud TPUs
Lorenzo Pazienza, Ihab El Bani
cs.DCcs.LGcs.PFarXiv:2609.34818v22026
Watch, Listen and Tell: Multi-modal Weakly Supervised Dense Event Captioning
Tanzila Rahman, Bicheng Xu, Leonid Sigal
cs.CVarXiv:1909.09944v22019
From Perception to Integration: Revisiting the Internal Dynamics of Reasoning in Vision-Language Models
Rong Yu Xu, Prayag Tiwari, Shaolei Zhang
cs.CVcs.LGarXiv:2609.34809v12026
Low-Resource Knowledge-Grounded Dialogue Generation
Xueliang Zhao, Wei Wu, Chongyang Tao +3
cs.CLarXiv:2002.10348v12020
Present Drawing: Exploring Avatar-Mediated Drawing Events with Physical Traces
Kojiro Tanaka, Takuya Iwamoto, Yuki Okafuji
cs.HCarXiv:2610.32166v12026
Embodied Emissions of 2.5D and 3D Scaling in Chipletized GPUs for Low-Carbon AI
Hannah Watson, Arjun Singh, Jennifer Stephenson +4
cs.ARarXiv:2610.32830v12026
Bounding Queue Waits for Fair Scheduling of Bursty HPC Workloads via Hierarchical Algorithms
Karaen Senthilkumar, Suman Raj, Maxime Gonthier +3
cs.DCarXiv:2610.32027v12026
Topic2Vec: Learning Distributed Representations of Topics
Li-Qiang Niu, Xin-Yu Dai
cs.CLcs.LGarXiv:1506.08422v12015
Natural State-Prediction Accuracy can Hide Weak Controlled Responsiveness in VLA Readouts
Hyungjoon Kim, Wonbin Son, Mi Young Lee +2
cs.ROcs.CVcs.LGarXiv:2609.34684v12026
From archive to resource: bringing legacy data back to life at scale with large language models
C. H. Vieira-Vieira, I. Schneider Chernov, A. Serra +5
cs.IRarXiv:2610.32616v12026
Finite-Time Concentration and Convergence Rates for Projected Two-Time-Scale Stochastic Approximation with Markov Noise
Rahul Singh, Vivek S. Borkar, Eric Moulines
math.OCcs.LGarXiv:2609.34791v12026
STAViS: Spatio-Temporal AudioVisual Saliency Network
Antigoni Tsiami, Petros Koutras, Petros Maragos
cs.CVarXiv:2001.03063v22020
Beyond Reconstruction Loss in Post-Training Quantization: Balanced Fitting for Large Vision-Language Models
Minchan Kang, Kyeonghye Park, Seungyeon Sa +3
cs.CVcs.LGarXiv:2609.34765v12026
Matching Feature Sets for Few-Shot Image Classification
Arman Afrasiyabi, Hugo Larochelle, Jean-François Lalonde +1
cs.CVarXiv:2204.00949v12022
A Class of Algorithms for General Instrumental Variable Models
Niki Kilbertus, Matt J. Kusner, Ricardo Silva
cs.LGstat.MLarXiv:2006.06366v32020
$R^2E:$ A Role-driven Reward Evolutionary Framework for Automated Reward Function Design
Shouhao Chang, Xuan Liu, Hongye Zhu +2
cs.ROarXiv:2610.32439v12026
Physics-Attested Federated Learning: Securing Collaborative Anomaly Detection in Critical Water Infrastructure
Jeff Nijsse, Shu Su, Benjamin Oholeguy +1
cs.CRcs.LGarXiv:2609.34804v12026
Information-Theoretic Analysis of Next-Token Prediction under Markovian Data
Masoud Kavian, Abdellatif Zaidi, Milad Sefidgaran
stat.MLcs.ITcs.LGarXiv:2609.34731v12026
k-server via multiscale entropic regularization
Sebastien Bubeck, Michael B. Cohen, James R. Lee +2
cs.DSmath.MGarXiv:1711.01085v12017
Monetizing Intelligence: Advertising and Subscription Design on LLM Platforms
Yuhang Ji, Fasheng Xu, Tianjun Feng
econ.THcs.AIarXiv:2610.32945v12026
$\Delta$-PINNs: physics-informed neural networks on complex geometries
Francisco Sahli Costabal, Simone Pezzuto, Paris Perdikaris
cs.LGarXiv:2209.03984v22022
ARS: Agentic Reward System for Robot Learning
Sheng Hu, Weiyi Lu, Lingbing Zeng +5
cs.ROcs.LGarXiv:2609.34484v12026
State Estimation as In-context Tabular Prediction
Ayushi Jolotia, Parikshit Pareek
eess.SYcs.LGcs.SYarXiv:2610.32487v12026
Deep Cross Residual Learning for Multitask Visual Recognition
Brendan Jou, Shih-Fu Chang
cs.CVcs.AIcs.MMarXiv:1604.01335v22016
Principled Nonlinear Concept Erasure and Steering
Idan Simai, Shauli Ravfogel, Uri Shaham
cs.LGcs.CLarXiv:2610.32516v12026
On the Numerical Reliability of Differentiable Physics-Based Optimization for Robotic Material Manipulation
Xintong Yang, Minglun Wei, Yu-Kun Lai +1
cs.ROcs.LGarXiv:2609.34666v12026
MAGIC: Margin-gated Contrastive Debiasing with Evidence Restoration for VLM Test-time Robustness Scaling
Shunshun Gu, Enze Zhang, Ming Pei +2
cs.CVcs.LGarXiv:2610.32013v12026
From Promises to Accountability: Comparative AI Modeling and Visualization of Electoral Commitments in Nepali Political Texts
Prakash Poudyal, Nischal Karki, Amrit Dahal +3
cs.CLarXiv:2610.32150v12026
Probabilistic Geodesic Flow Matching on Location-Scale Families
Zeyuan Yu, Zhi Chang, Shiwei Lan
stat.MLcs.LGmath.PRarXiv:2609.34613v12026
Engineering Resilient Collective Adaptive Systems by Self-Stabilisation
Mirko Viroli, Giorgio Audrito, Jacob Beal +2
cs.DCcs.MAarXiv:1711.08297v12017
Pre-registered tests of solid-state-physics-inspired LLM compression: a cluster-level negative result at small-language-model scale
Jun-qiang Lu
cond-mat.dis-nncond-mat.mtrl-scicond-mat.otherarXiv:2609.34292v12026
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection
Wei Ji, Jingjing Li, Qi Bi +3
cs.CVarXiv:2205.07179v12022
Dexterous Tactile World Model
Ziyao Zeng, Xiatao Sun, Hao Wang +6
cs.CVcs.LGcs.ROarXiv:2609.34286v12026
Gaussian Prototypical Networks for Few-Shot Learning on Omniglot
Stanislav Fort
cs.LGcs.CVcs.NEarXiv:1708.02735v12017
IFC-SSL-Bench: Benchmarking Self-Supervised Learning for Annotation-Efficient Multispectral Imaging Flow Cytometry
Angelo Jovin Yamachui Sitcheu, Roxana-Teodora Fetescu, Thomas Lautenschlager +6
cs.CVarXiv:2610.31848v12026
The Statistical Cost of Causal Discovery with Feedback
Sunmin Oh, Seungsu Han, Gunwoong Park
stat.MLcs.LGarXiv:2609.34050v12026
ACVA-Bench: Beyond Prompt Following in Abstract Concept Visualization Ability for Text-to-Image Models
Mengyan Wang, Jiyuan An, Yining Liu +2
cs.CVcs.AIarXiv:2610.32058v12026
Not Every Agent Needs the Strongest Model: Unified Prompt-Model Optimization for Heterogeneous LLM-based Multi-Agent Systems
Mingxiu Cai, Haoyang Xian, Xinyu Ma +4
cs.MAarXiv:2610.31743v22026
The Double-Edged Sword of Information: Revealed versus Hidden Lotteries in School Choice
Parinaz Naghizadeh, Jingyan Wang
cs.GTcs.LGecon.THarXiv:2609.34074v12026
Automatic Discovery and Geotagging of Objects from Street View Imagery
Vladimir A. Krylov, Eamonn Kenny, Rozenn Dahyot
cs.CVarXiv:1708.08417v22017
GT-PSSM: Unified Probabilistic Framework for Stochastic Dynamics Modeling and Dependency Learning in Multivariate Time Series Anomaly Detection
Wonmo Koo, Jaeyeong Lee, Taeseong Yoon +1
stat.MLcs.LGarXiv:2609.34161v12026
Kafila: Serving Large Language Models on a Trusted Set of Heterogeneous Commodity Machines
Murtaza Rangwala, Richard O. Sinnott, Rajkumar Buyya
cs.DCcs.LGarXiv:2609.34045v12026
SyncVid: World-Equivariant Diffusion for Synchronized Video Generation
Farhad G. Zanjani, Animesh Karnewar, Fatih Porikli +1
cs.CVarXiv:2610.31765v12026
Low-Level Augmented Bayesian Optimization for Finding the Best Cloud VM
Chin-Jung Hsu, Vivek Nair, Vincent W. Freeh +1
cs.DCarXiv:1712.10081v12017
Functional Autoencoders for Amplitude-Phase Representation Learning
Peida Wu, Xinyang Xiong, Pengcheng Zeng
stat.MLcs.LGarXiv:2609.34207v12026
User Intent Prediction in Information-seeking Conversations
Chen Qu, Liu Yang, Bruce Croft +3
cs.IRcs.CLarXiv:1901.03489v12019
CuraLoc: Repository-Level Fault Localization via Planned Code Inspection
Sangeeta Warrier, Anush Sankaran, Ryen W. White
cs.LGcs.SEarXiv:2610.31809v22026
Geometric Aspects of Iterated Matrix Multiplication
Fulvio Gesmundo
math.AGcs.CCarXiv:1512.00766v22015
Multi-person Articulated Tracking with Spatial and Temporal Embeddings
Sheng Jin, Wentao Liu, Wanli Ouyang +1
cs.CVarXiv:1903.09214v12019
The kernel mean embedding of a random probability distribution and its principal components
Amparo Baíllo, Martín Sánchez-Signorini
stat.MEstat.MLarXiv:2610.33286v12026
Analysing the Effect of Clarifying Questions on Document Ranking in Conversational Search
Antonios Minas Krasakis, Mohammad Aliannejadi, Nikos Voskarides +1
cs.IRcs.AIcs.CLarXiv:2008.03717v22020
POS-Signature Demonstration Retrieval for In-Context Dependency Parsing
Muhammad Azam Afridi, Rajab Ali, Marco Passarotti
cs.CLarXiv:2610.31966v12026
Neural Harmonic Measure Operator
Jinjin He, Sinan Wang, Yuchen Sun +1
cs.LGcs.NAmath.NAarXiv:2609.35752v12026
Gluing Local Contexts into Global Meaning: A Sheaf-Theoretic Decomposition of Transformer Representations
Bryce Grant, Peng Wang
cs.CLcs.LGarXiv:2610.17117v12026
Singularities of Non-negative Matrix Factorization and their application to Bayesian inference
Naoki Hayashi, Yota Maeda, Yasushi Esaki
stat.MLcs.LGmath.STarXiv:2609.34043v12026
Graph Spectral Series and Its Signatures
Feng Ji, Jingyang Dai, Apostolos Evangelidis +3
eess.SParXiv:2610.33348v12026
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base
Tao Shen, Xiubo Geng, Tao Qin +5
cs.CLarXiv:1910.05069v12019
MeqMuon: Matrix-Equilibrating Muon for LLM Pretraining
Chang-Wei Shi, Xu Wang, Wu-Jun Li
cs.LGarXiv:2609.35701v12026

Every paper with a summary

Model-Free Output-Admittance Reshaping for Stability Enhancement of Grid-Connected Inverters

Guided Flows for Generative Modeling and Decision Making

Accelerator Choice Is Not Enough: AlphaFold2 Inference on Cloud TPUs

Watch, Listen and Tell: Multi-modal Weakly Supervised Dense Event Captioning

From Perception to Integration: Revisiting the Internal Dynamics of Reasoning in Vision-Language Models

Low-Resource Knowledge-Grounded Dialogue Generation

Present Drawing: Exploring Avatar-Mediated Drawing Events with Physical Traces

Embodied Emissions of 2.5D and 3D Scaling in Chipletized GPUs for Low-Carbon AI

Bounding Queue Waits for Fair Scheduling of Bursty HPC Workloads via Hierarchical Algorithms

Topic2Vec: Learning Distributed Representations of Topics

Natural State-Prediction Accuracy can Hide Weak Controlled Responsiveness in VLA Readouts

From archive to resource: bringing legacy data back to life at scale with large language models

Finite-Time Concentration and Convergence Rates for Projected Two-Time-Scale Stochastic Approximation with Markov Noise

STAViS: Spatio-Temporal AudioVisual Saliency Network

Beyond Reconstruction Loss in Post-Training Quantization: Balanced Fitting for Large Vision-Language Models

Matching Feature Sets for Few-Shot Image Classification

A Class of Algorithms for General Instrumental Variable Models

$R^2E:$ A Role-driven Reward Evolutionary Framework for Automated Reward Function Design

Physics-Attested Federated Learning: Securing Collaborative Anomaly Detection in Critical Water Infrastructure

Information-Theoretic Analysis of Next-Token Prediction under Markovian Data

k-server via multiscale entropic regularization

Monetizing Intelligence: Advertising and Subscription Design on LLM Platforms

$\Delta$-PINNs: physics-informed neural networks on complex geometries

ARS: Agentic Reward System for Robot Learning

State Estimation as In-context Tabular Prediction

Deep Cross Residual Learning for Multitask Visual Recognition

Principled Nonlinear Concept Erasure and Steering

On the Numerical Reliability of Differentiable Physics-Based Optimization for Robotic Material Manipulation

MAGIC: Margin-gated Contrastive Debiasing with Evidence Restoration for VLM Test-time Robustness Scaling

From Promises to Accountability: Comparative AI Modeling and Visualization of Electoral Commitments in Nepali Political Texts

Probabilistic Geodesic Flow Matching on Location-Scale Families

Engineering Resilient Collective Adaptive Systems by Self-Stabilisation

Pre-registered tests of solid-state-physics-inspired LLM compression: a cluster-level negative result at small-language-model scale

Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection

Dexterous Tactile World Model

Gaussian Prototypical Networks for Few-Shot Learning on Omniglot

IFC-SSL-Bench: Benchmarking Self-Supervised Learning for Annotation-Efficient Multispectral Imaging Flow Cytometry

The Statistical Cost of Causal Discovery with Feedback

ACVA-Bench: Beyond Prompt Following in Abstract Concept Visualization Ability for Text-to-Image Models

Not Every Agent Needs the Strongest Model: Unified Prompt-Model Optimization for Heterogeneous LLM-based Multi-Agent Systems

The Double-Edged Sword of Information: Revealed versus Hidden Lotteries in School Choice

Automatic Discovery and Geotagging of Objects from Street View Imagery

GT-PSSM: Unified Probabilistic Framework for Stochastic Dynamics Modeling and Dependency Learning in Multivariate Time Series Anomaly Detection

Kafila: Serving Large Language Models on a Trusted Set of Heterogeneous Commodity Machines

SyncVid: World-Equivariant Diffusion for Synchronized Video Generation

Low-Level Augmented Bayesian Optimization for Finding the Best Cloud VM

Functional Autoencoders for Amplitude-Phase Representation Learning

User Intent Prediction in Information-seeking Conversations

CuraLoc: Repository-Level Fault Localization via Planned Code Inspection

Geometric Aspects of Iterated Matrix Multiplication

Multi-person Articulated Tracking with Spatial and Temporal Embeddings

The kernel mean embedding of a random probability distribution and its principal components

Analysing the Effect of Clarifying Questions on Document Ranking in Conversational Search

POS-Signature Demonstration Retrieval for In-Context Dependency Parsing

Neural Harmonic Measure Operator

Gluing Local Contexts into Global Meaning: A Sheaf-Theoretic Decomposition of Transformer Representations

Singularities of Non-negative Matrix Factorization and their application to Bayesian inference

Graph Spectral Series and Its Signatures

Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base

MeqMuon: Matrix-Equilibrating Muon for LLM Pretraining