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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69,781 to 69,840 of 104,305

BLiMPPI: Benchmark of Linguistic Minimal Pairs for Polarity Items
Arzu Burcu Güven, Anna Rogers, Leonie Weissweiler +2
cs.CLarXiv:2610.13607v12026
Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs
Alon Brutzkus, Amir Globerson
cs.LGmath.OCstat.MLarXiv:1702.07966v12017
PNI : Industrial Anomaly Detection using Position and Neighborhood Information
Jaehyeok Bae, Jae-Han Lee, Seyun Kim
cs.CVarXiv:2211.12634v32022
HoliTom: Holistic Token Merging for Fast Video Large Language Models
Kele Shao, Keda Tao, Can Qin +3
cs.CVarXiv:2505.21334v32025
FashionChameleon: Towards Real-Time and Interactive Human-Garment Video Customization
Quanjian Song, Yefeng Shen, Mengting Chen +5
cs.CVarXiv:2605.15824v22026
SceneReGen: Generative Reconstruction of 3D Scenes from a Single Image
Zefan Tian, Yuteng Ye, Yiheng Zhang +5
cs.CVarXiv:2608.23930v12026
WavLLM: Towards Robust and Adaptive Speech Large Language Model
Shujie Hu, Long Zhou, Shujie Liu +9
cs.CLcs.AIcs.SDarXiv:2404.00656v32024
Towards Spatial Trace with Reasoning in Vision-Language Models for Robotics
Enshen Zhou, Yibo Li, Jingkun An +12
cs.ROcs.CVarXiv:2512.13660v42025
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input
Junliang Guo, Xu Tan, Di He +3
cs.CLcs.LGarXiv:1812.09664v12018
Non-local Neural Networks
Xiaolong Wang, Ross Girshick, Abhinav Gupta +1
cs.CVarXiv:1711.07971v32017
RoboChrono: A Real Robot Benchmark for Streaming Task Understanding
Yuzhou Wu, Longteng Fan, Zimeng Li +22
cs.ROarXiv:2609.36605v12026
Learning with Submodular Functions: A Convex Optimization Perspective
Francis Bach
cs.LGmath.OCarXiv:1111.6453v22011
Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?
Christian Schroeder de Witt, Tarun Gupta, Denys Makoviichuk +4
cs.AIarXiv:2011.09533v12020
Sparse and Imperceivable Adversarial Attacks
Francesco Croce, Matthias Hein
cs.LGcs.CRcs.CVarXiv:1909.05040v12019
Anticipating Visual Representations from Unlabeled Video
Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
cs.CVarXiv:1504.08023v22015
Beyond Discrepancy: Oracle Drift in Nonstationary Weighted Risk Minimization
Tobias Brock, Thomas Nagler
math.STstat.MLarXiv:2610.13598v12026
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
Shaolei Zhang, Ju Fan, Meihao Fan +2
cs.AIcs.CLcs.DBarXiv:2510.16872v12025
SonicMoE: Accelerating MoE with IO and Tile-aware Optimizations
Wentao Guo, Mayank Mishra, Xinle Cheng +2
cs.LGcs.AIarXiv:2512.14080v22025
Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text
Haitian Sun, Bhuwan Dhingra, Manzil Zaheer +3
cs.CLcs.LGarXiv:1809.00782v12018
Structured Attention Networks
Yoon Kim, Carl Denton, Luong Hoang +1
cs.CLcs.LGcs.NEarXiv:1702.00887v32017
Dual Aspect Self-Attention based on Transformer for Remaining Useful Life Prediction
Zhizheng Zhang, Wen Song, Qiqiang Li
eess.SPcs.AIcs.LGarXiv:2106.15842v32021
How Order-Sensitive Are LLMs? OrderProbe for Deterministic Structural Reconstruction
Zhaolu Kang, Yingjie He, Kehan Jiang +18
cs.CLarXiv:2601.08626v42026
How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding
Yuchen Li, Yuanzhi Li, Andrej Risteski
cs.LGcs.CLstat.MLarXiv:2303.04245v22023
A review on distance based time series classification
Amaia Abanda, Usue Mori, Jose A. Lozano
stat.MLcs.LGarXiv:1806.04509v12018
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Ashesh Jain, Amir R. Zamir, Silvio Savarese +1
cs.CVcs.LGcs.NEarXiv:1511.05298v32015
GRAG: Graph Retrieval-Augmented Generation
Yuntong Hu, Zhihan Lei, Zheng Zhang +3
cs.LGarXiv:2405.16506v32024
Towards Generalizable Visually Grounded Exploration of Household Devices
Linhao Zheng, Zeming Liu, Wangke Chen +4
cs.AIarXiv:2609.00845v12026
Trust Guided Decision Transformer
Chainesh Gautam, Raghuram Bharadwaj Diddigi, Chandramouli Kamanchi +3
cs.LGarXiv:2609.31586v12026
Self-supervised Neural Networks for Spectral Snapshot Compressive Imaging
Ziyi Meng, Zhenming Yu, Kun Xu +1
eess.IVcs.CVarXiv:2108.12654v12021
Methods and open-source toolkit for analyzing and visualizing challenge results
Manuel Wiesenfarth, Annika Reinke, Bennett A. Landman +3
cs.CVstat.AParXiv:1910.05121v22019
Learning Transferable Dynamics Priors from Action to World Modeling
Ze Huang, Jiahui Zhang, Hairuo Liu +3
cs.ROarXiv:2606.29501v12026
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You, Bowen Liu, Rex Ying +2
cs.LGcs.AIstat.MLarXiv:1806.02473v32018
Generalizable Adversarial Training via Spectral Normalization
Farzan Farnia, Jesse M. Zhang, David Tse
cs.LGstat.MLarXiv:1811.07457v12018
SplatQ: Interaction-Aware Pruning of 3D Gaussian Splatting via Quadratic Selection
Hongbin Ye, Haixu Liu, Shenwei Kang +13
cs.CVcs.GRarXiv:2610.13503v12026
LUMIN: Lightweight Universal Manufacturing Inspection Network for Anomaly Detection
Pengfei Yang
cs.CVarXiv:2609.04775v12026
Comparing Community Structure to Characteristics in Online Collegiate Social Networks
Amanda L. Traud, Eric D. Kelsic, Peter J. Mucha +1
physics.soc-phphysics.data-anarXiv:0809.0690v32008
Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models
Qing Lyu, Ge Wang
eess.IVcs.CVphysics.med-pharXiv:2209.12104v22022
Beyond Semantics: The Unreasonable Effectiveness of Reasonless Intermediate Tokens
Karthik Valmeekam, Vardhan Palod, Kaya Stechly +2
cs.LGcs.AIarXiv:2505.13775v42025
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection
Xiaoqi Zhao, Lihe Zhang, Youwei Pang +2
cs.CVarXiv:2007.06811v22020
Language-Specific Effects of Tokenizer Choice in Multilingual Language Models
Clara Meister, Gül Sena Altıntaş, Antoine Bosselut
cs.CLarXiv:2610.12144v12026
Sparser Johnson-Lindenstrauss Transforms
Daniel M. Kane, Jelani Nelson
cs.DScs.CGcs.DMarXiv:1012.1577v62010
AdaThinking-E: One-Token Entropy Regulation for Adaptive Thinking
Zining Wang, Tongkun Guan, Boming Chen +8
cs.CLcs.LGarXiv:2608.26141v12026
Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement Training
Michal Chudoba, Sergey Alyaev, Petra Galuscakova +1
cs.LGcs.AIcs.CLarXiv:2606.11854v12026
Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance
Heeseung Kim, Sungwon Kim, Sungroh Yoon
cs.SDcs.AIeess.ASarXiv:2111.11755v42021
Humanize MLE Agents: Multi-Agent Session Alternation Beyond Single-Agent Limits
Changye Li, Zijian Zhang, Muheng Li +12
cs.AIarXiv:2610.13494v12026
PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems
Yunseong Lee, Alberto Scolari, Byung-Gon Chun +3
cs.LGcs.DCstat.MLarXiv:1810.06115v12018
A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems
Zixuan Ke, Fangkai Jiao, Yifei Ming +9
cs.AIcs.CLarXiv:2504.09037v42025
AgentVigil: Generic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents
Zhun Wang, Vincent Siu, Zhe Ye +6
cs.CRcs.AIarXiv:2505.05849v42025
"My agent understands me better": Integrating Dynamic Human-like Memory Recall and Consolidation in LLM-Based Agents
Yuki Hou, Haruki Tamoto, Homei Miyashita
cs.HCarXiv:2404.00573v12024
A Review Of Robotic World Models For Dynamic Environments Based On Factor And Scene Graphs
Marco Giberna, Miguel Fernandez-Cortizas, Jose Luis Sanchez Lopez +1
cs.ROcs.CVarXiv:2610.08800v12026
Subliminal Effects in Your Data: A General Mechanism via Log-Linearity
Ishaq Aden-Ali, Noah Golowich, Allen Liu +3
cs.LGcs.AIcs.CLarXiv:2602.04863v12026
Point Cloud Mamba: Point Cloud Learning via State Space Model
Tao Zhang, Haobo Yuan, Lu Qi +5
cs.CVarXiv:2403.00762v42024
A Novel Angle-Delay-Doppler Estimation Scheme for AFDM-ISAC System in Mixed Near-field and Far-field Scenarios
Yirui Luo, Yong Liang Guan, Yao Ge +2
eess.SParXiv:2504.06567v12025
Genuine quantum correlations in quantum many-body systems: a review of recent progress
Gabriele De Chiara, Anna Sanpera
quant-phcond-mat.othercond-mat.str-elarXiv:1711.07824v22017
Deep Multiagent Reinforcement Learning: Challenges and Directions
Annie Wong, Thomas Bäck, Anna V. Kononova +1
cs.LGcs.AIcs.MAarXiv:2106.15691v22021
Strategically Diverse Sampling for Self-Training
Alexander Gurung, Esmeralda S. Whitammer, Mirella Lapata
cs.CLarXiv:2609.31571v12026
Real Time Dynamics and Confinement in the $\mathbb{Z}_{n}$ Schwinger-Weyl lattice model for 1+1 QED
Giuseppe Magnifico, Marcello Dalmonte, Paolo Facchi +3
quant-phcond-mat.str-elhep-latarXiv:1909.04821v52019
Understanding Syllogistic Reasoning in LLMs from Formal and Natural Language Perspectives
Aheli Poddar, Saptarshi Sahoo, Sujata Ghosh
cs.CLcs.AIarXiv:2512.12620v32025
Poster: A Preliminary Study of LLM Distillation Inference
Edward Chen, Yuntao Du
cs.CRcs.LGarXiv:2610.12137v12026
Tensor-based Hardness of the Shortest Vector Problem to within Almost Polynomial Factors
Ishay Haviv, Oded Regev
cs.CCarXiv:1806.04087v12018

Every paper with a summary

BLiMPPI: Benchmark of Linguistic Minimal Pairs for Polarity Items

Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs

PNI : Industrial Anomaly Detection using Position and Neighborhood Information

HoliTom: Holistic Token Merging for Fast Video Large Language Models

FashionChameleon: Towards Real-Time and Interactive Human-Garment Video Customization

SceneReGen: Generative Reconstruction of 3D Scenes from a Single Image

WavLLM: Towards Robust and Adaptive Speech Large Language Model

Towards Spatial Trace with Reasoning in Vision-Language Models for Robotics

Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input

Non-local Neural Networks

RoboChrono: A Real Robot Benchmark for Streaming Task Understanding

Learning with Submodular Functions: A Convex Optimization Perspective

Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Sparse and Imperceivable Adversarial Attacks

Anticipating Visual Representations from Unlabeled Video

Beyond Discrepancy: Oracle Drift in Nonstationary Weighted Risk Minimization

DeepAnalyze: Agentic Large Language Models for Autonomous Data Science

SonicMoE: Accelerating MoE with IO and Tile-aware Optimizations

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

Structured Attention Networks

Dual Aspect Self-Attention based on Transformer for Remaining Useful Life Prediction

How Order-Sensitive Are LLMs? OrderProbe for Deterministic Structural Reconstruction

How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding

A review on distance based time series classification

Structural-RNN: Deep Learning on Spatio-Temporal Graphs

GRAG: Graph Retrieval-Augmented Generation

Towards Generalizable Visually Grounded Exploration of Household Devices

Trust Guided Decision Transformer

Self-supervised Neural Networks for Spectral Snapshot Compressive Imaging

Methods and open-source toolkit for analyzing and visualizing challenge results

Learning Transferable Dynamics Priors from Action to World Modeling

Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation

Generalizable Adversarial Training via Spectral Normalization

SplatQ: Interaction-Aware Pruning of 3D Gaussian Splatting via Quadratic Selection

LUMIN: Lightweight Universal Manufacturing Inspection Network for Anomaly Detection

Comparing Community Structure to Characteristics in Online Collegiate Social Networks

Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models

Beyond Semantics: The Unreasonable Effectiveness of Reasonless Intermediate Tokens

A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection

Language-Specific Effects of Tokenizer Choice in Multilingual Language Models

Sparser Johnson-Lindenstrauss Transforms

AdaThinking-E: One-Token Entropy Regulation for Adaptive Thinking

Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement Training

Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance

Humanize MLE Agents: Multi-Agent Session Alternation Beyond Single-Agent Limits

PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems

A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems

AgentVigil: Generic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents

"My agent understands me better": Integrating Dynamic Human-like Memory Recall and Consolidation in LLM-Based Agents

A Review Of Robotic World Models For Dynamic Environments Based On Factor And Scene Graphs

Subliminal Effects in Your Data: A General Mechanism via Log-Linearity

Point Cloud Mamba: Point Cloud Learning via State Space Model

A Novel Angle-Delay-Doppler Estimation Scheme for AFDM-ISAC System in Mixed Near-field and Far-field Scenarios

Genuine quantum correlations in quantum many-body systems: a review of recent progress

Deep Multiagent Reinforcement Learning: Challenges and Directions

Strategically Diverse Sampling for Self-Training

Real Time Dynamics and Confinement in the $\mathbb{Z}_{n}$ Schwinger-Weyl lattice model for 1+1 QED

Understanding Syllogistic Reasoning in LLMs from Formal and Natural Language Perspectives

Poster: A Preliminary Study of LLM Distillation Inference

Tensor-based Hardness of the Shortest Vector Problem to within Almost Polynomial Factors