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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56,641 to 56,700 of 117,751

f-Divergence Minimization for Sequence-Level Knowledge Distillation
Yuqiao Wen, Zichao Li, Wenyu Du +1
cs.CLcs.LGarXiv:2307.15190v12023
Differentiable Programming Tensor Networks
Hai-Jun Liao, Jin-Guo Liu, Lei Wang +1
cond-mat.str-elquant-pharXiv:1903.09650v22019
A meet-in-the-middle algorithm for fast synthesis of depth-optimal quantum circuits
Matthew Amy, Dmitri Maslov, Michele Mosca +1
quant-phcs.ETarXiv:1206.0758v32012
Willems' Fundamental Lemma for State-space Systems and its Extension to Multiple Datasets
Henk J. van Waarde, Claudio De Persis, M. Kanat Camlibel +1
math.OCmath.DSarXiv:2002.01023v22020
HLER: Human-in-the-Loop Economic Research via Multi-Agent Pipelines for Empirical Discovery
Chen Zhu, Xiaolu Wang
cs.AIecon.GNq-fin.ECarXiv:2603.07444v12026
I Have a Stream: Making Self-Supervised Learning Work on Continuous Video
Ivan Martinović, Lukas Knobel, Yuki M. Asano
cs.CVarXiv:2609.40333v12026
Learned Optimizers that Scale and Generalize
Olga Wichrowska, Niru Maheswaranathan, Matthew W. Hoffman +4
cs.LGcs.NEstat.MLarXiv:1703.04813v42017
Zero-WAM: In-Context World-Action Modeling from Human Videos for Open-Ended Task Generalization
Jiaming Zhou, Qihang Zhang, Gangwei Xu +9
cs.ROcs.CVarXiv:2608.26103v12026
Continual Learning for Text Classification with Information Disentanglement Based Regularization
Yufan Huang, Yanzhe Zhang, Jiaao Chen +2
cs.CLcs.AIarXiv:2104.05489v22021
ProsocialDialog: A Prosocial Backbone for Conversational Agents
Hyunwoo Kim, Youngjae Yu, Liwei Jiang +5
cs.CLarXiv:2205.12688v22022
The Geometry of Refusal: Why Post-Hoc Safety Is Fragile and Pretraining-Time Safety Persists
Srikanth Malla, Chiho Choi, Joon Hee Choi
cs.LGcs.AIarXiv:2609.06934v12026
CyCLIP: Cyclic Contrastive Language-Image Pretraining
Shashank Goel, Hritik Bansal, Sumit Bhatia +3
cs.CVcs.LGarXiv:2205.14459v22022
RON: Reverse Connection with Objectness Prior Networks for Object Detection
Tao Kong, Fuchun Sun, Anbang Yao +3
cs.CVarXiv:1707.01691v12017
Learning Spatial Attention for Face Super-Resolution
Chaofeng Chen, Dihong Gong, Hao Wang +2
cs.CVarXiv:2012.01211v22020
Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review
Rui Ye, Xianghe Pang, Jingyi Chai +6
cs.CLcs.AIcs.HCarXiv:2412.01708v12024
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks
Ioana Bica, James Jordon, Mihaela van der Schaar
cs.LGstat.MLarXiv:2002.12326v22020
Where Culture Fades: Revealing the Cultural Gap in Text-to-Image Generation
Chuancheng Shi, Shangze Li, Shiming Guo +9
cs.CVcs.AIcs.CYarXiv:2511.17282v12025
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross Girshick, Jeff Donahue, Trevor Darrell +1
cs.CVarXiv:1311.2524v52013
A Tutorial on Spectral Clustering
Ulrike von Luxburg
cs.DScs.LGarXiv:0711.0189v12007
Causal Bandits: Learning Good Interventions via Causal Inference
Finnian Lattimore, Tor Lattimore, Mark D. Reid
stat.MLcs.LGarXiv:1606.03203v12016
Emo-DVS: A Multimodal Benchmark for Privacy-Aware Emotion Recognition with Event Cameras
Jiaqi Chen, Qinfu Xu, Hao Zhuang +1
cs.CVcs.AIarXiv:2609.06928v12026
A Mixture Model for Learning Multi-Sense Word Embeddings
Dai Quoc Nguyen, Dat Quoc Nguyen, Ashutosh Modi +2
cs.CLarXiv:1706.05111v12017
Dynamics-Aware Unsupervised Discovery of Skills
Archit Sharma, Shixiang Gu, Sergey Levine +2
cs.LGcs.ROstat.MLarXiv:1907.01657v22019
ARC-Encoder: learning compressed text representations for large language models
Hippolyte Pilchen, Edouard Grave, Patrick Pérez
cs.CLcs.AIarXiv:2510.20535v22025
Beyond Prompts: Measuring and Optimizing LLM Tool-Agent Harnesses
Cen, Zhao, Haibo Ruan +4
cs.AIarXiv:2609.05736v12026
RETRACE: Resilience-Guided Trait-Conditioned Craving Estimation from Wearable Physiology in Opioid Use Disorder
Yi Xiao, Harshit Sharma, Dessa Bergen-Cico +1
cs.AIarXiv:2608.14947v12026
A Visual Dependence-Aware Framework for Multimodal Unsupervised Continual Post-Training
Kaichen Li, Zhilin Zhu, Jianhao Huang +7
cs.CVcs.AIarXiv:2608.26095v12026
Universal and Transferable Adversarial Attacks on Aligned Language Models
Andy Zou, Zifan Wang, Nicholas Carlini +3
cs.CLcs.AIcs.CRarXiv:2307.15043v22023
Visual Odometry Revisited: What Should Be Learnt?
Huangying Zhan, Chamara Saroj Weerasekera, Jiawang Bian +1
cs.CVarXiv:1909.09803v42019
A Supervised Approach to Extractive Summarisation of Scientific Papers
Ed Collins, Isabelle Augenstein, Sebastian Riedel
cs.CLcs.AIcs.NEarXiv:1706.03946v12017
All sets of incompatible measurements give an advantage in quantum state discrimination
Paul Skrzypczyk, Ivan Šupić, Daniel Cavalcanti
quant-pharXiv:1901.00816v12019
A Benchmark for Interpretability Methods in Deep Neural Networks
Sara Hooker, Dumitru Erhan, Pieter-Jan Kindermans +1
cs.LGcs.AIstat.MLarXiv:1806.10758v32018
Probabilistic Multi-Robot Gas Source Localization with Uncalibrated Sensors: A Distributed Estimation Approach
Wanting Jin, Marc Zoel Arias Mitjà, Alcherio Martinoli
cs.ROarXiv:2608.28214v12026
Using latent representations to link disjoint longitudinal data for mixed-effects regression
Clemens Schächter, Maren Hackenberg, Michelle Pfaffenlehner +6
stat.MLcs.AIcs.LGarXiv:2510.25531v22025
Knowledge Graph Embedding for Link Prediction: A Comparative Analysis
Andrea Rossi, Donatella Firmani, Antonio Matinata +2
cs.LGcs.DBstat.MLarXiv:2002.00819v42020
LoRAS: An oversampling approach for imbalanced datasets
Saptarshi Bej, Narek Davtyan, Markus Wolfien +2
cs.LGstat.MLarXiv:1908.08346v42019
Deep Learning for Single Image Super-Resolution: A Brief Review
Wenming Yang, Xuechen Zhang, Yapeng Tian +2
cs.CVarXiv:1808.03344v32018
Py-Feat: Python Facial Expression Analysis Toolbox
Jin Hyun Cheong, Eshin Jolly, Tiankang Xie +3
cs.CVcs.LGeess.IVarXiv:2104.03509v42021
GGBench: A Geometric Generative Reasoning Benchmark for Unified Multimodal Models
Jingxuan Wei, Caijun Jia, Xi Bai +7
cs.AIarXiv:2511.11134v22025
Distributional Semantics Tracing: A Framework for Explaining Hallucinations in Large Language Models
Gagan Bhatia, Somayajulu G Sripada, Kevin Allan +1
cs.CLcs.AIcs.CEarXiv:2510.06107v32025
Attention Is All You Need
Ashish Vaswani, Noam Shazeer, Niki Parmar +5
cs.CLcs.LGarXiv:1706.03762v72017
Summaries:한국어 日本語简体中文 Español Français Deutsch
DiffusionNet: Discretization Agnostic Learning on Surfaces
Nicholas Sharp, Souhaib Attaiki, Keenan Crane +1
cs.CVcs.CGcs.LGarXiv:2012.00888v32020
Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots
Xavier Puig, Eric Undersander, Andrew Szot +20
cs.HCcs.AIcs.CVarXiv:2310.13724v12023
How Does Mixup Help With Robustness and Generalization?
Linjun Zhang, Zhun Deng, Kenji Kawaguchi +2
cs.LGstat.MLarXiv:2010.04819v42020
Big Data For Development: Applications and Techniques
Anwaar Ali, Junaid Qadir, Raihan ur Rasool +2
cs.CYarXiv:1602.07810v12016
An analysis of incorporating an external language model into a sequence-to-sequence model
Anjuli Kannan, Yonghui Wu, Patrick Nguyen +3
eess.AScs.AIcs.CLarXiv:1712.01996v12017
Data Augmentation via Dependency Tree Morphing for Low-Resource Languages
Gözde Gül Şahin, Mark Steedman
cs.CLarXiv:1903.09460v12019
CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not
Aneeshan Sain, Ayan Kumar Bhunia, Pinaki Nath Chowdhury +3
cs.CVarXiv:2303.13440v32023
Mixing local and global information for community detection in large networks
Pasquale De Meo, Emilio Ferrara, Giacomo Fiumara +1
cs.SIphysics.soc-pharXiv:1303.1738v22013
A Survey on Security and Privacy Issues of Bitcoin
Mauro Conti, Sandeep Kumar E, Chhagan Lal +1
cs.CRarXiv:1706.00916v32017
Real-Time Trajectory Replanning for MAVs using Uniform B-splines and a 3D Circular Buffer
Vladyslav Usenko, Lukas von Stumberg, Andrej Pangercic +1
cs.ROarXiv:1703.01416v22017
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks
Alexander Robey, Eric Wong, Hamed Hassani +1
cs.LGcs.AIstat.MLarXiv:2310.03684v42023
Distribution Calibration for Regression
Hao Song, Tom Diethe, Meelis Kull +1
stat.MLcs.AIcs.LGarXiv:1905.06023v12019
Pointwise Convolutional Neural Networks
Binh-Son Hua, Minh-Khoi Tran, Sai-Kit Yeung
cs.CVcs.LGarXiv:1712.05245v22017
EFLNet: Enhancing Feature Learning for Infrared Small Target Detection
Bo Yang, Xinyu Zhang, Jian Zhang +3
cs.CVarXiv:2307.14723v22023
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments
Roberta Raileanu, Tim Rocktäschel
cs.LGcs.AIarXiv:2002.12292v22020
The Meta Distribution of the SIR in Poisson Bipolar and Cellular Networks
Martin Haenggi
cs.ITcs.NImath.PRarXiv:1506.01644v12015
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation
Lequan Yu, Shujun Wang, Xiaomeng Li +2
cs.CVarXiv:1907.07034v12019
ListOps: A Diagnostic Dataset for Latent Tree Learning
Nikita Nangia, Samuel R. Bowman
cs.CLarXiv:1804.06028v12018
Trajectory-Level Mode Guidance for Controllable Diffusion-Based Multi-Robot Motion Planning
Tianyou Yu, Shengze Cai, Chao Xu
cs.ROarXiv:2609.36530v12026

Every paper with a summary

f-Divergence Minimization for Sequence-Level Knowledge Distillation

Differentiable Programming Tensor Networks

A meet-in-the-middle algorithm for fast synthesis of depth-optimal quantum circuits

Willems' Fundamental Lemma for State-space Systems and its Extension to Multiple Datasets

HLER: Human-in-the-Loop Economic Research via Multi-Agent Pipelines for Empirical Discovery

I Have a Stream: Making Self-Supervised Learning Work on Continuous Video

Learned Optimizers that Scale and Generalize

Zero-WAM: In-Context World-Action Modeling from Human Videos for Open-Ended Task Generalization

Continual Learning for Text Classification with Information Disentanglement Based Regularization

ProsocialDialog: A Prosocial Backbone for Conversational Agents

The Geometry of Refusal: Why Post-Hoc Safety Is Fragile and Pretraining-Time Safety Persists

CyCLIP: Cyclic Contrastive Language-Image Pretraining

RON: Reverse Connection with Objectness Prior Networks for Object Detection

Learning Spatial Attention for Face Super-Resolution

Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review

Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks

Where Culture Fades: Revealing the Cultural Gap in Text-to-Image Generation

Rich feature hierarchies for accurate object detection and semantic segmentation

A Tutorial on Spectral Clustering

Causal Bandits: Learning Good Interventions via Causal Inference

Emo-DVS: A Multimodal Benchmark for Privacy-Aware Emotion Recognition with Event Cameras

A Mixture Model for Learning Multi-Sense Word Embeddings

Dynamics-Aware Unsupervised Discovery of Skills

ARC-Encoder: learning compressed text representations for large language models

Beyond Prompts: Measuring and Optimizing LLM Tool-Agent Harnesses

RETRACE: Resilience-Guided Trait-Conditioned Craving Estimation from Wearable Physiology in Opioid Use Disorder

A Visual Dependence-Aware Framework for Multimodal Unsupervised Continual Post-Training

Universal and Transferable Adversarial Attacks on Aligned Language Models

Visual Odometry Revisited: What Should Be Learnt?

A Supervised Approach to Extractive Summarisation of Scientific Papers

All sets of incompatible measurements give an advantage in quantum state discrimination

A Benchmark for Interpretability Methods in Deep Neural Networks

Probabilistic Multi-Robot Gas Source Localization with Uncalibrated Sensors: A Distributed Estimation Approach

Using latent representations to link disjoint longitudinal data for mixed-effects regression

Knowledge Graph Embedding for Link Prediction: A Comparative Analysis

LoRAS: An oversampling approach for imbalanced datasets

Deep Learning for Single Image Super-Resolution: A Brief Review

Py-Feat: Python Facial Expression Analysis Toolbox

GGBench: A Geometric Generative Reasoning Benchmark for Unified Multimodal Models

Distributional Semantics Tracing: A Framework for Explaining Hallucinations in Large Language Models

Attention Is All You Need

DiffusionNet: Discretization Agnostic Learning on Surfaces

Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots

How Does Mixup Help With Robustness and Generalization?

Big Data For Development: Applications and Techniques

An analysis of incorporating an external language model into a sequence-to-sequence model

Data Augmentation via Dependency Tree Morphing for Low-Resource Languages

CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not

Mixing local and global information for community detection in large networks

A Survey on Security and Privacy Issues of Bitcoin

Real-Time Trajectory Replanning for MAVs using Uniform B-splines and a 3D Circular Buffer

SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks

Distribution Calibration for Regression

Pointwise Convolutional Neural Networks

EFLNet: Enhancing Feature Learning for Infrared Small Target Detection

RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments

The Meta Distribution of the SIR in Poisson Bipolar and Cellular Networks

Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation

ListOps: A Diagnostic Dataset for Latent Tree Learning

Trajectory-Level Mode Guidance for Controllable Diffusion-Based Multi-Robot Motion Planning