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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77,581 to 77,640 of 101,783

Before Agent Tells The Lie: Has Deception Already Been Represented?
Xinling Li, Dadi Guo, Qingyu Liu +5
cs.CLarXiv:2610.06576v12026
MuTual: A Dataset for Multi-Turn Dialogue Reasoning
Leyang Cui, Yu Wu, Shujie Liu +2
cs.CLarXiv:2004.04494v12020
CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
D. Needell, J. A. Tropp
math.NAcs.ITarXiv:0803.2392v22008
UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning
Zhengxi Lu, Yuxiang Chai, Yaxuan Guo +7
cs.AIarXiv:2503.21620v52025
A Comparative Explainability Framework for DeBERTa-v3 in Zero-Shot Medical Abstract Classification
Javier Diaz Esteban-Herreros, David Muñoz-Valero, Raquel Martínez-España +2
cs.AIcs.CLarXiv:2610.02116v12026
Simultaneous Transmission and Reception: Algorithm, Design and System Level Performance
Yang-Seok Choi, Hooman Shirani-Mehr
cs.NIarXiv:1309.5546v12013
CLIP-It! Language-Guided Video Summarization
Medhini Narasimhan, Anna Rohrbach, Trevor Darrell
cs.CVcs.AIcs.MMarXiv:2107.00650v22021
DataKernelBench: Can LLMs Optimize Database Queries on GPUs?
Gokul Karthik Kumar, Yotam Perlitz, Corey Lammie +2
cs.CLcs.AIcs.DBarXiv:2608.25061v12026
Neural Expectation Maximization
Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber
cs.LGcs.NEstat.MLarXiv:1708.03498v22017
Detecting Sarcasm in Multimodal Social Platforms
Rossano Schifanella, Paloma de Juan, Joel Tetreault +1
cs.CVcs.CLcs.MMarXiv:1608.02289v12016
On Explaining the Surprising Success of Reservoir Computing Forecaster of Chaos? The Universal Machine Learning Dynamical System with Contrasts to VAR and DMD
Erik Bollt
physics.data-anmath.DSarXiv:2008.06530v62020
Towards a complete 3D morphable model of the human head
Stylianos Ploumpis, Evangelos Ververas, Eimear O' Sullivan +6
cs.CVarXiv:1911.08008v22019
When and How Much to Imagine: Adaptive Test-Time Scaling with World Models for Visual Spatial Reasoning
Shoubin Yu, Yue Zhang, Zun Wang +4
cs.CVcs.AIcs.CLarXiv:2602.08236v22026
Domain Adaptive Ensemble Learning
Kaiyang Zhou, Yongxin Yang, Yu Qiao +1
cs.CVarXiv:2003.07325v32020
HERA: Harness-Environment Co-Evolution for Reliable Agentic Abstention
Han Luo, Bingbing Wen, Guang Yang +3
cs.AIarXiv:2610.06563v12026
Sampling headroom is not selection gain: a compute-value audit of test-time scaling for video world models
Yuhua Jiang, Junjie Lu, Feifei Gao
cs.CVcs.AIarXiv:2609.13257v12026
Forecasting Electricity Smart Meter Data Using Conditional Kernel Density Estimation
Siddharth Arora, James W. Taylor
stat.AParXiv:1409.2856v12014
Layered Unlearning for Adversarial Relearning
Timothy Qian, Vinith Suriyakumar, Ashia Wilson +1
cs.LGarXiv:2505.09500v12025
Summaries:한국어
A review on outlier/anomaly detection in time series data
Ane Blázquez-García, Angel Conde, Usue Mori +1
cs.LGstat.MLarXiv:2002.04236v12020
Resource Scheduling in Edge Computing: A Survey
Quyuan Luo, Shihong Hu, Changle Li +2
cs.NIeess.SParXiv:2108.08059v12021
DiffusionBrowser: Interactive Diffusion Previews via Multi-Branch Decoders
Susung Hong, Chongjian Ge, Zhifei Zhang +1
cs.CVcs.AIcs.GRarXiv:2512.13690v12025
ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models
Liyan Tang, Grace Kim, Xinyu Zhao +12
cs.CLcs.CVarXiv:2505.13444v32025
Coordinating Filters for Faster Deep Neural Networks
Wei Wen, Cong Xu, Chunpeng Wu +3
cs.CVarXiv:1703.09746v32017
Show, Don't Tell: Evaluating Spatial Cognition in Generative Pixels Rather Than LLM Text
Xu Wang, Kaixiang Yao, Miao Pan +4
cs.CVarXiv:2607.21072v12026
Refusal in Language Models Is Mediated by a Single Direction
Andy Arditi, Oscar Obeso, Aaquib Syed +4
cs.LGcs.AIcs.CLarXiv:2406.11717v32024
Enhancing Quality for HEVC Compressed Videos
Ren Yang, Mai Xu, Tie Liu +2
cs.MMarXiv:1709.06734v22017
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images
Jo Schlemper, Ozan Oktay, Michiel Schaap +4
cs.CVarXiv:1808.08114v22018
ANT: A Multi-Granularity Network Traffic Dataset and Benchmark for Agents Behavior Auditing
Fan Li, Xiangyu Gao, Zixuan Liu +4
cs.AIcs.LGarXiv:2610.06514v12026
Mean Field Analysis of Neural Networks: A Central Limit Theorem
Justin Sirignano, Konstantinos Spiliopoulos
math.PRmath.STstat.MLarXiv:1808.09372v22018
Prevent the Language Model from being Overconfident in Neural Machine Translation
Mengqi Miao, Fandong Meng, Yijin Liu +2
cs.CLcs.AIarXiv:2105.11098v22021
Comparison requires valid measurement: Rethinking attack success rate comparisons in AI red teaming
Alexandra Chouldechova, A. Feder Cooper, Solon Barocas +3
cs.LGarXiv:2601.18076v12026
FlexiTac: A Low-Cost, Open-Source, Scalable Tactile Sensing Solution for Robotic Systems
Binghao Huang, Yunzhu Li
cs.ROcs.AIcs.LGarXiv:2604.28156v12026
Gaze-in-wild: A dataset for studying eye and head coordination in everyday activities
Rakshit Kothari, Zhizhuo Yang, Christopher Kanan +3
cs.CVarXiv:1905.13146v12019
FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things
Xiaying Wang, Michele Magno, Lukas Cavigelli +1
cs.LGeess.SPstat.MLarXiv:1911.03314v32019
(How) Do MLLMs Report Bistable Images Like Humans?
Ryota Takatsuki, Tomoki Doi, Amane Watahiki +2
cs.CVcs.AIarXiv:2609.13254v12026
DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems
Lei Ma, Felix Juefei-Xu, Fuyuan Zhang +9
cs.SEcs.CRcs.LGarXiv:1803.07519v42018
An Open Source, Massively Parallel Code for Non-LTE Synthesis and Inversion of Spectral Lines and Zeeman-induced Stokes Profiles
H. Socas-Navarro, J. de la Cruz Rodriguez, A. Asensio Ramos +2
astro-ph.SRarXiv:1408.6101v22014
Reachability Analysis of Deep Neural Networks with Provable Guarantees
Wenjie Ruan, Xiaowei Huang, Marta Kwiatkowska
cs.LGcs.CVstat.MLarXiv:1805.02242v12018
The simulation of judgment in LLMs
Edoardo Loru, Jacopo Nudo, Niccolò Di Marco +6
cs.CLcs.AIcs.CYarXiv:2502.04426v32025
Sequence Level Training with Recurrent Neural Networks
Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli +1
cs.LGcs.CLarXiv:1511.06732v72015
Causal Embeddings for Recommendation
Stephen Bonner, Flavian Vasile
cs.IRarXiv:1706.07639v62017
Epistemic Warrant for LLM Recommendations: Characterizing the Basis for Reliance When Ground Truth Is Unavailable
Shai Vardi, João Sedoc
cs.AIarXiv:2609.04127v12026
ArtifactArena: Evaluating Models by What They Build in the Physical World
Kushagra Tiwary*, David Mayo*, Nikhil Behari +5
cs.ROcs.AIarXiv:2610.06511v12026
Action Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action Recognition
Vittorio Mazzia, Simone Angarano, Francesco Salvetti +2
cs.CVcs.LGarXiv:2107.00606v62021
SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities
Boyuan Chen, Zhuo Xu, Sean Kirmani +6
cs.CVcs.CLcs.LGarXiv:2401.12168v12024
Theory and Tools for the Conversion of Analog to Spiking Convolutional Neural Networks
Bodo Rueckauer, Iulia-Alexandra Lungu, Yuhuang Hu +1
stat.MLcs.CVcs.LGarXiv:1612.04052v12016
Fast Best-of-N Decoding via Speculative Rejection
Hanshi Sun, Momin Haider, Ruiqi Zhang +6
cs.CLarXiv:2410.20290v22024
An Evolutionary Computation Framework for Multi-Agent Q-Learning with Mean-Field Environmental Feedback
Lichen Wang, Shijia Hua, Linjie Liu
cs.MAcs.AIarXiv:2609.13253v12026
OZSpeech: One-step Zero-shot Speech Synthesis with Learned-Prior-Conditioned Flow Matching
Hieu-Nghia Huynh-Nguyen, Ngoc Son Nguyen, Huynh Nguyen Dang +3
cs.SDcs.AIeess.ASarXiv:2505.12800v12025
A computational framework for infinite-dimensional Bayesian inverse problems: Part II. Stochastic Newton MCMC with application to ice sheet flow inverse problems
Noemi Petra, James Martin, Georg Stadler +1
stat.MEmath.NAmath.OCarXiv:1308.6221v22013
ANN-Benchmarks: A Benchmarking Tool for Approximate Nearest Neighbor Algorithms
Martin Aumüller, Erik Bernhardsson, Alexander Faithfull
cs.IRcs.DBarXiv:1807.05614v22018
Minutiae Extraction from Fingerprint Images - a Review
Roli Bansal, Priti Sehgal, Punam Bedi
cs.CVcs.CRarXiv:1201.1422v12011
Serrin Type Criterion for the Three-Dimensional Viscous Compressible Flows
Xiangdi Huang, Jing Li, Zhouping Xin
math-pharXiv:1004.4748v12010
AutoML: A Survey of the State-of-the-Art
Xin He, Kaiyong Zhao, Xiaowen Chu
cs.LGcs.CVstat.MLarXiv:1908.00709v62019
Sparsity-promoting dynamic mode decomposition
Mihailo R. Jovanović, Peter J. Schmid, Joseph W. Nichols
physics.flu-dynmath.DSmath.OCarXiv:1309.4165v12013
When Confidence Misleads: Suffix Anchoring and Anchor-Proximity Confidence Modulation for Diffusion Language Models
Jungwon Park, Jimyeong Kim, Jungmin Ko +2
cs.CLarXiv:2605.28181v22026
Taxonomy, Opportunities, and Challenges of Representation Engineering for Large Language Models
Jan Wehner, Sahar Abdelnabi, Daniel Tan +2
cs.LGcs.CLarXiv:2502.19649v52025
Multi-task Neural Networks for QSAR Predictions
George E. Dahl, Navdeep Jaitly, Ruslan Salakhutdinov
stat.MLcs.LGcs.NEarXiv:1406.1231v12014
VideoAR: Autoregressive Video Generation via Next-Frame & Scale Prediction
Longbin Ji, Xiaoxiong Liu, Junyuan Shang +4
cs.CVcs.AIarXiv:2601.05966v22026
Large Language Models on Graphs: A Comprehensive Survey
Bowen Jin, Gang Liu, Chi Han +3
cs.CLcs.LGarXiv:2312.02783v42023

Every paper with a summary

Before Agent Tells The Lie: Has Deception Already Been Represented?

MuTual: A Dataset for Multi-Turn Dialogue Reasoning

CoSaMP: Iterative signal recovery from incomplete and inaccurate samples

UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning

A Comparative Explainability Framework for DeBERTa-v3 in Zero-Shot Medical Abstract Classification

Simultaneous Transmission and Reception: Algorithm, Design and System Level Performance

CLIP-It! Language-Guided Video Summarization

DataKernelBench: Can LLMs Optimize Database Queries on GPUs?

Neural Expectation Maximization

Detecting Sarcasm in Multimodal Social Platforms

On Explaining the Surprising Success of Reservoir Computing Forecaster of Chaos? The Universal Machine Learning Dynamical System with Contrasts to VAR and DMD

Towards a complete 3D morphable model of the human head

When and How Much to Imagine: Adaptive Test-Time Scaling with World Models for Visual Spatial Reasoning

Domain Adaptive Ensemble Learning

HERA: Harness-Environment Co-Evolution for Reliable Agentic Abstention

Sampling headroom is not selection gain: a compute-value audit of test-time scaling for video world models

Forecasting Electricity Smart Meter Data Using Conditional Kernel Density Estimation

Layered Unlearning for Adversarial Relearning

A review on outlier/anomaly detection in time series data

Resource Scheduling in Edge Computing: A Survey

DiffusionBrowser: Interactive Diffusion Previews via Multi-Branch Decoders

ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models

Coordinating Filters for Faster Deep Neural Networks

Show, Don't Tell: Evaluating Spatial Cognition in Generative Pixels Rather Than LLM Text

Refusal in Language Models Is Mediated by a Single Direction

Enhancing Quality for HEVC Compressed Videos

Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images

ANT: A Multi-Granularity Network Traffic Dataset and Benchmark for Agents Behavior Auditing

Mean Field Analysis of Neural Networks: A Central Limit Theorem

Prevent the Language Model from being Overconfident in Neural Machine Translation

Comparison requires valid measurement: Rethinking attack success rate comparisons in AI red teaming

FlexiTac: A Low-Cost, Open-Source, Scalable Tactile Sensing Solution for Robotic Systems

Gaze-in-wild: A dataset for studying eye and head coordination in everyday activities

FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things

(How) Do MLLMs Report Bistable Images Like Humans?

DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems

An Open Source, Massively Parallel Code for Non-LTE Synthesis and Inversion of Spectral Lines and Zeeman-induced Stokes Profiles

Reachability Analysis of Deep Neural Networks with Provable Guarantees

The simulation of judgment in LLMs

Sequence Level Training with Recurrent Neural Networks

Causal Embeddings for Recommendation

Epistemic Warrant for LLM Recommendations: Characterizing the Basis for Reliance When Ground Truth Is Unavailable

ArtifactArena: Evaluating Models by What They Build in the Physical World

Action Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action Recognition

SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities

Theory and Tools for the Conversion of Analog to Spiking Convolutional Neural Networks

Fast Best-of-N Decoding via Speculative Rejection

An Evolutionary Computation Framework for Multi-Agent Q-Learning with Mean-Field Environmental Feedback

OZSpeech: One-step Zero-shot Speech Synthesis with Learned-Prior-Conditioned Flow Matching

A computational framework for infinite-dimensional Bayesian inverse problems: Part II. Stochastic Newton MCMC with application to ice sheet flow inverse problems

ANN-Benchmarks: A Benchmarking Tool for Approximate Nearest Neighbor Algorithms

Minutiae Extraction from Fingerprint Images - a Review

Serrin Type Criterion for the Three-Dimensional Viscous Compressible Flows

AutoML: A Survey of the State-of-the-Art

Sparsity-promoting dynamic mode decomposition

When Confidence Misleads: Suffix Anchoring and Anchor-Proximity Confidence Modulation for Diffusion Language Models

Taxonomy, Opportunities, and Challenges of Representation Engineering for Large Language Models

Multi-task Neural Networks for QSAR Predictions

VideoAR: Autoregressive Video Generation via Next-Frame & Scale Prediction

Large Language Models on Graphs: A Comprehensive Survey