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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2,761 to 2,820 of 116,533

G$^3$-LoRA: Organizing Reward-Weighted Video Data with Gradient-Guided Grouped LoRA
Jia Song, Wenhow Li, Lichen Bai +2
cs.CVcs.LGarXiv:2609.35189v12026
A Hierarchy of Entropy-Shapley Games for Multivariate Predictive Uncertainty
Niklas Koenen, Claudia Battistin, Jeriek Van den Abeele +1
stat.MLcs.LGarXiv:2609.35217v12026
Coordinated Lane-Level Variable Speed Limits and Ramp Metering for Successive Weaving Segments Considering Merging/Diverging Risks: A Hybrid Model Predictive Control and Multi-Agent Reinforcement Learning Approach
Guodong Ma, Baofeng Sun, Wenyu Yang +1
math.OCcs.LGarXiv:2609.35152v12026
Explicit Frictional Contact Modeling in Neural Garment Simulation
Thanh-Nguyen Truong, Vu-Hoang Tran, Ching-Chun Huang
cs.CVcs.GRcs.LGarXiv:2610.33492v12026
Towards Segmenting Anything That Moves
Achal Dave, Pavel Tokmakov, Deva Ramanan
cs.CVarXiv:1902.03715v42019
Summarizing and Exploring Tabular Data in Conversational Search
Shuo Zhang, Zhuyun Dai, Krisztian Balog +1
cs.IRcs.CLarXiv:2005.11490v32020
Resource Slicing for Time-Sensitive Data Traffic in Non-Terrestrial Networks with FSO ISLs
Abid Afridi, Alexis A. Dowhuszko, Risto Wichman +1
eess.SParXiv:2610.31802v12026
KiRoSe: Using Kinematic Data for Efficient Segmentation of Robot Demonstrations
Shuangyu Xie, Kaiyuan Chen, Muhammad Zubair Irshad +3
cs.ROarXiv:2610.31801v12026
Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting
Haotian Gao, Renhe Jiang, Zheng Dong +3
cs.LGarXiv:2312.00516v32023
GUIDE-FBO: Guidance via Uncertainty Intervention and Distributional Exchange for Federated Bayesian Optimization
Jintao Wei, Chenxi Li, Songhao Wang
stat.MLcs.LGarXiv:2609.35038v12026
Continuous Variational Synthesis
Alan N. Amin, Mattia G. Gollub, Andrei Slabodkin +2
q-bio.BMcs.LGarXiv:2609.35083v12026
SAGE: Sense-Aligned Multimodal Grounding Evaluation with Gloss-Augmented Reasoning
Sunjae Kwon, Suhaas Kiran DG, Zonghai Yao +3
cs.CLcs.CVarXiv:2610.31838v12026
Operationalising Weaker Faithfulness: Recovery, Ambiguity and Computational Limits
Cillian Hourican, Rick Quax
stat.MEcs.LGstat.MLarXiv:2610.31724v12026
Perceptual Quality Loss or Loss of Perceptual Quality?
Danilo de Oliveira, Tal Peer, Maurício do V. M. da Costa +1
eess.AScs.LGarXiv:2609.35054v12026
Semantically Aligned Bias Reducing Zero Shot Learning
Akanksha Paul, Narayanan C. Krishnan, Prateek Munjal
cs.CVarXiv:1904.07659v12019
Deep Residual Learning for Weakly-Supervised Relation Extraction
Yi Yao Huang, William Yang Wang
cs.CLcs.AIarXiv:1707.08866v12017
RobustNCL: Robustifying Neuromorphic Continual Learning under Transient Faults with Lightweight Detect-and-Cure Strategy
Rachmad Vidya Wicaksana Putra, Shuochen Zhou, Muhammad Shafique
cs.NEcs.AIcs.LGarXiv:2610.31954v12026
Optimal learning with Bernstein Online Aggregation
Olivier Wintenberger
stat.MLcs.LGmath.STarXiv:1404.1356v52014
Recommendation Ranking Off-Policy Evaluation under Ranking-Dependent Examination via Examination-Relevance Decomposition
Riki Okamura, Toshiharu Sugawara
cs.IRcs.LGarXiv:2609.35034v12026
Sub-Model Short-Term Memory Convolutions for Keyword Spotting Systems on Device
Paweł Warlewski, Artur Czeczko, Artur Szumaczuk +2
cs.SDcs.LGarXiv:2609.35005v12026
A Survey on Table Question Answering: Recent Advances
Nengzheng Jin, Joanna Siebert, Dongfang Li +1
cs.CLcs.AIarXiv:2207.05270v12022
ENCL: Enabling Efficient Neuromorphic Continual Learning with Local Learning Rule and Sub-Network Freezing Strategy
Rachmad Vidya Wicaksana Putra, Shuochen Zhou, Hassan Raza +1
cs.NEcs.AIcs.LGarXiv:2610.31927v12026
Algorithmic and optimization aspects of Brascamp-Lieb inequalities, via Operator Scaling
Ankit Garg, Leonid Gurvits, Rafael Oliveira +1
cs.CCcs.DSmath.CAarXiv:1607.06711v42016
Physics-Informed Neural Networks for Depth-Averaged Avalanche Dynamics
Pradyumn Singh Sikarwar, Vishal Sharma, Gaurav Bhutani
physics.flu-dyncond-mat.softcs.LGarXiv:2609.34916v12026
On Temporal Binding in Large Audio Language Models
Paul Primus, Gerhard Widmer
cs.SDcs.LGarXiv:2609.34806v12026
The Fundamental Principles of Reproducibility
Odd Erik Gundersen
cs.LGcs.AIarXiv:2011.10098v22020
Stability Enhancement of Cascaded DC Systems via Source Output-Impedance Reshaping Using Model-Free Control
Wanrong Li, Shuhan Hu, Hengping Xiong +4
eess.SYcs.SYarXiv:2610.32076v12026
When Text Matters: Design Principles for Visual Token Pruning in Vision-Language Model
Minchan Kang, Kyeonghye Park, Seoyoung Cho +2
cs.CVcs.LGarXiv:2609.34861v12026
TACS-RF: Tool-driven Agentic Circuit Synthesis of RF and mmWave Modules
Tristan Liang, Aravind Nagulu
cs.AIarXiv:2610.31882v12026
TinyFlow: Breaking the Warping Bottleneck for Edge Optical Flow
Xiao'ao Song, Chahat Deep Singh
cs.ROcs.CVarXiv:2610.33338v12026
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

Every paper with a summary

G$^3$-LoRA: Organizing Reward-Weighted Video Data with Gradient-Guided Grouped LoRA

A Hierarchy of Entropy-Shapley Games for Multivariate Predictive Uncertainty

Coordinated Lane-Level Variable Speed Limits and Ramp Metering for Successive Weaving Segments Considering Merging/Diverging Risks: A Hybrid Model Predictive Control and Multi-Agent Reinforcement Learning Approach

Explicit Frictional Contact Modeling in Neural Garment Simulation

Towards Segmenting Anything That Moves

Summarizing and Exploring Tabular Data in Conversational Search

Resource Slicing for Time-Sensitive Data Traffic in Non-Terrestrial Networks with FSO ISLs

KiRoSe: Using Kinematic Data for Efficient Segmentation of Robot Demonstrations

Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting

GUIDE-FBO: Guidance via Uncertainty Intervention and Distributional Exchange for Federated Bayesian Optimization

Continuous Variational Synthesis

SAGE: Sense-Aligned Multimodal Grounding Evaluation with Gloss-Augmented Reasoning

Operationalising Weaker Faithfulness: Recovery, Ambiguity and Computational Limits

Perceptual Quality Loss or Loss of Perceptual Quality?

Semantically Aligned Bias Reducing Zero Shot Learning

Deep Residual Learning for Weakly-Supervised Relation Extraction

RobustNCL: Robustifying Neuromorphic Continual Learning under Transient Faults with Lightweight Detect-and-Cure Strategy

Optimal learning with Bernstein Online Aggregation

Recommendation Ranking Off-Policy Evaluation under Ranking-Dependent Examination via Examination-Relevance Decomposition

Sub-Model Short-Term Memory Convolutions for Keyword Spotting Systems on Device

A Survey on Table Question Answering: Recent Advances

ENCL: Enabling Efficient Neuromorphic Continual Learning with Local Learning Rule and Sub-Network Freezing Strategy

Algorithmic and optimization aspects of Brascamp-Lieb inequalities, via Operator Scaling

Physics-Informed Neural Networks for Depth-Averaged Avalanche Dynamics

On Temporal Binding in Large Audio Language Models

The Fundamental Principles of Reproducibility

Stability Enhancement of Cascaded DC Systems via Source Output-Impedance Reshaping Using Model-Free Control

When Text Matters: Design Principles for Visual Token Pruning in Vision-Language Model

TACS-RF: Tool-driven Agentic Circuit Synthesis of RF and mmWave Modules

TinyFlow: Breaking the Warping Bottleneck for Edge Optical Flow

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