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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58,381 to 58,440 of 61,351

FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
Tian Zhou, Ziqing Ma, Qingsong Wen +3
cs.LGstat.MLarXiv:2201.12740v32022
PolyComp: A Polycube-based Benchmark for Compositional 3D Spatial Reasoning in Multimodal Models
Siddharth Patel
cs.CVcs.AIarXiv:2608.14741v12026
Code Llama: Open Foundation Models for Code
Baptiste Rozière, Jonas Gehring, Fabian Gloeckle +23
cs.CLarXiv:2308.12950v32023
CFR without Unbiasedness: Deterministic Guarantees for Persistent Public-Chance Schedules
Jiaxing Guo, Lei Ye
cs.GTcs.LGarXiv:2608.14761v12026
The Note-Chord-Voice Framework: Structured Source Separation and Causal Inference for EV Charging Data
Jiajie Chen, Jinfeng Li
eess.SPcs.LGcs.SDarXiv:2608.14756v12026
Wannier90: A Tool for Obtaining Maximally-Localised Wannier Functions
A. A. Mostofi, J. R. Yates, Y. -S. Lee +3
cond-mat.mtrl-sciarXiv:0708.0650v12007
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Ken Chatfield, Karen Simonyan, Andrea Vedaldi +1
cs.CVarXiv:1405.3531v42014
Can Neural Networks Learn by Experimenting on Themselves? Self-Interventional Learning from Functional Consequences to Predictive Self-Knowledge
Michał Tomaszewski
cs.LGarXiv:2608.14894v12026
Ward's Hierarchical Clustering Method: Clustering Criterion and Agglomerative Algorithm
Fionn Murtagh, Pierre Legendre
stat.MLcs.CVstat.AParXiv:1111.6285v22011
Is Grokking a Loss of Normal Hyperbolicity of the Interpolation Manifold?
Suvinava Basak
cs.LGarXiv:2608.14803v12026
Focal Loss for Dense Object Detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick +2
cs.CVarXiv:1708.02002v22017
Self-Instruct: Aligning Language Models with Self-Generated Instructions
Yizhong Wang, Yeganeh Kordi, Swaroop Mishra +4
cs.CLcs.AIarXiv:2212.10560v22022
Writing Style Similarity Reflects Academic Genealogy
Cameron Manzo
cs.CLcs.AIarXiv:2608.14843v12026
Universal and Transferable Adversarial Attacks on Aligned Language Models
Andy Zou, Zifan Wang, Nicholas Carlini +3
cs.CLcs.AIcs.CRarXiv:2307.15043v22023
ER-KANs: Efficient and Robust Kolmogorov-Arnold Networks for Data-Scarce Scientific Machine Learning
Harshil Lodhiya
cs.LGcs.AIarXiv:2608.14773v12026
Convolutional Sequence to Sequence Learning
Jonas Gehring, Michael Auli, David Grangier +2
cs.CLarXiv:1705.03122v32017
Artificial Intelligence as a Tool for Combating Child Labour: A Real-Time Edge Vision Pipeline for Child Detection and Age Estimation
Mark Nowak
cs.CVcs.AIarXiv:2608.14770v12026
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
Lei Huang, Weijiang Yu, Weitao Ma +8
cs.CLarXiv:2311.05232v22023
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena, Christopher Olah, Jonathon Shlens
stat.MLcs.CVarXiv:1610.09585v42016
Generated Context versus Governed State: Functional Conditions for Accountable Longitudinal Clinical Reasoning
Augusto Bernardo Pissarra, Victor Lorena de Farias Souza
cs.AIarXiv:2608.14804v12026
A Constant-Competitive Algorithm for Dynamic Mixture-of-Experts Serving
Ian D'Ambrosio
cs.DScs.LGarXiv:2608.16947v12026
Constitutional AI: Harmlessness from AI Feedback
Yuntao Bai, Saurav Kadavath, Sandipan Kundu +48
cs.CLcs.AIarXiv:2212.08073v12022
Every Expert Counts: ExactMoE for Memory-Efficient W4A16 Inference
Amjad Saab
cs.LGarXiv:2608.15383v12026
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
Qimai Li, Zhichao Han, Xiao-Ming Wu
cs.LGstat.MLarXiv:1801.07606v12018
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
Payal Bajaj, Daniel Campos, Nick Craswell +12
cs.CLcs.IRarXiv:1611.09268v32016
Near linear time algorithm to detect community structures in large-scale networks
Usha Nandini Raghavan, Reka Albert, Soundar Kumara
physics.soc-pharXiv:0709.2938v12007
Wireless Communications with Unmanned Aerial Vehicles: Opportunities and Challenges
Yong Zeng, Rui Zhang, Teng Joon Lim
cs.ITcs.NIarXiv:1602.03602v12016
When AI Rewrites, Classifiers Relax: Uncertainty-Aware Sentiment Analysis on Sarcastic and AI-Paraphrased Social Text
Shresth Shroff
cs.CLcs.AIarXiv:2608.15338v12026
A Call for Clarity in Reporting BLEU Scores
Matt Post
cs.CLarXiv:1804.08771v22018
UC-PSRO: Utility-Conditioned Policy-Space Response Oracles with a Communication-Dropout Curriculum for Game-Theoretic Course-of-Action Generation in Adversarial Swarms
Phillip Jiang
cs.AIcs.MAarXiv:2608.15372v12026
ReasonCast: Agentic Demand Forecasting with Selective Semantic Reasoning
Ziyue Yang, Chaolin Xu, Yijing Wang +5
cs.AIarXiv:2608.15291v12026
Residual Attention Network for Image Classification
Fei Wang, Mengqing Jiang, Chen Qian +5
cs.CVarXiv:1704.06904v12017
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Xingchao Liu, Chengyue Gong, Qiang Liu
cs.LGarXiv:2209.03003v12022
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David Duvenaud, Dougal Maclaurin, Jorge Aguilera-Iparraguirre +4
cs.LGcs.NEstat.MLarXiv:1509.09292v22015
Wiktionary as a Crowdsourced Lexicon for English Dialects
Sidney Wong
cs.CLarXiv:2608.15641v12026
A Survey on Evaluation of Large Language Models
Yupeng Chang, Xu Wang, Jindong Wang +13
cs.CLcs.AIarXiv:2307.03109v92023
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin, Pranav Rajpurkar, Michael Ko +17
cs.CVcs.AIcs.LGarXiv:1901.07031v12019
Readable, Faithful, Used: Three Dissociable Properties of Demographic Identity in a Language Model
Fathin Difa Robbani
cs.CLarXiv:2608.18768v12026
MLP-Mixer: An all-MLP Architecture for Vision
Ilya Tolstikhin, Neil Houlsby, Alexander Kolesnikov +9
cs.CVcs.AIcs.LGarXiv:2105.01601v42021
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
Marvin N. Wright, Andreas Ziegler
stat.MLstat.COarXiv:1508.04409v22015
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Anish Athalye, Nicholas Carlini, David Wagner
cs.LGcs.AIcs.CRarXiv:1802.00420v42018
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
Xiaosong Wang, Yifan Peng, Le Lu +3
cs.CVcs.CLarXiv:1705.02315v52017
A Survey on Large Language Model based Autonomous Agents
Lei Wang, Chen Ma, Xueyang Feng +10
cs.AIcs.CLarXiv:2308.11432v72023
Do Geometry-Aware Positional Encodings Help Transformers in Spatial Imperfect-Information Games?
Wenji Fu
cs.LGcs.AIstat.MLarXiv:2608.14982v12026
Energy and Policy Considerations for Deep Learning in NLP
Emma Strubell, Ananya Ganesh, Andrew McCallum
cs.CLarXiv:1906.02243v12019
Automatic chemical design using a data-driven continuous representation of molecules
Rafael Gómez-Bombarelli, Jennifer N. Wei, David Duvenaud +7
cs.LGphysics.chem-pharXiv:1610.02415v32016
MixMatch: A Holistic Approach to Semi-Supervised Learning
David Berthelot, Nicholas Carlini, Ian Goodfellow +3
cs.LGcs.AIcs.CVarXiv:1905.02249v22019
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris, Praveer Singh, Nikos Komodakis
cs.CVcs.LGarXiv:1803.07728v12018
SuperPoint: Self-Supervised Interest Point Detection and Description
Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich
cs.CVarXiv:1712.07629v42017
Visible Reasoning and Indirect Prompt-Injection Monitorability Across English, Tamil, and Tanglish
Madhusudhanan G
cs.AIarXiv:2608.15392v12026
Sigmoid Loss for Language Image Pre-Training
Xiaohua Zhai, Basil Mustafa, Alexander Kolesnikov +1
cs.CVcs.AIarXiv:2303.15343v42023
Training Compute-Optimal Large Language Models
Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch +19
cs.CLcs.LGarXiv:2203.15556v12022
In Defense of the Triplet Loss for Person Re-Identification
Alexander Hermans, Lucas Beyer, Bastian Leibe
cs.CVcs.NEarXiv:1703.07737v42017
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Hang Su, Subhransu Maji, Evangelos Kalogerakis +1
cs.CVcs.GRarXiv:1505.00880v32015
Gradient Episodic Memory for Continual Learning
David Lopez-Paz, Marc'Aurelio Ranzato
cs.LGcs.AIarXiv:1706.08840v62017
Demographic Injection in Medical Language Models under Diversity, Equity, and Inclusion Prompts
Diego Mardian, Frank Liu
cs.AIcs.CLarXiv:2608.15254v12026
A Convolutional Neural Network for Modelling Sentences
Nal Kalchbrenner, Edward Grefenstette, Phil Blunsom
cs.CLarXiv:1404.2188v12014
The Price of Thinking: Reasoning Effort as a Model-Specific API Contract
Yeabin Moon
cs.AIcs.CLcs.CYarXiv:2608.16956v12026
Dense Expands, Sparse Anchors: Channel-Asymmetric Query Expansion for Hybrid Retrieval
Chunran Zhang
cs.IRcs.CLarXiv:2608.15851v12026
Continual Lifelong Learning with Neural Networks: A Review
German I. Parisi, Ronald Kemker, Jose L. Part +2
cs.LGq-bio.NCstat.MLarXiv:1802.07569v42018

Every paper with a summary

FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting

PolyComp: A Polycube-based Benchmark for Compositional 3D Spatial Reasoning in Multimodal Models

Code Llama: Open Foundation Models for Code

CFR without Unbiasedness: Deterministic Guarantees for Persistent Public-Chance Schedules

The Note-Chord-Voice Framework: Structured Source Separation and Causal Inference for EV Charging Data

Wannier90: A Tool for Obtaining Maximally-Localised Wannier Functions

Return of the Devil in the Details: Delving Deep into Convolutional Nets

Can Neural Networks Learn by Experimenting on Themselves? Self-Interventional Learning from Functional Consequences to Predictive Self-Knowledge

Ward's Hierarchical Clustering Method: Clustering Criterion and Agglomerative Algorithm

Is Grokking a Loss of Normal Hyperbolicity of the Interpolation Manifold?

Focal Loss for Dense Object Detection

Self-Instruct: Aligning Language Models with Self-Generated Instructions

Writing Style Similarity Reflects Academic Genealogy

Universal and Transferable Adversarial Attacks on Aligned Language Models

ER-KANs: Efficient and Robust Kolmogorov-Arnold Networks for Data-Scarce Scientific Machine Learning

Convolutional Sequence to Sequence Learning

Artificial Intelligence as a Tool for Combating Child Labour: A Real-Time Edge Vision Pipeline for Child Detection and Age Estimation

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Conditional Image Synthesis With Auxiliary Classifier GANs

Generated Context versus Governed State: Functional Conditions for Accountable Longitudinal Clinical Reasoning

A Constant-Competitive Algorithm for Dynamic Mixture-of-Experts Serving

Constitutional AI: Harmlessness from AI Feedback

Every Expert Counts: ExactMoE for Memory-Efficient W4A16 Inference

Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Near linear time algorithm to detect community structures in large-scale networks

Wireless Communications with Unmanned Aerial Vehicles: Opportunities and Challenges

When AI Rewrites, Classifiers Relax: Uncertainty-Aware Sentiment Analysis on Sarcastic and AI-Paraphrased Social Text

A Call for Clarity in Reporting BLEU Scores

UC-PSRO: Utility-Conditioned Policy-Space Response Oracles with a Communication-Dropout Curriculum for Game-Theoretic Course-of-Action Generation in Adversarial Swarms

ReasonCast: Agentic Demand Forecasting with Selective Semantic Reasoning

Residual Attention Network for Image Classification

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Convolutional Networks on Graphs for Learning Molecular Fingerprints

Wiktionary as a Crowdsourced Lexicon for English Dialects

A Survey on Evaluation of Large Language Models

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

Readable, Faithful, Used: Three Dissociable Properties of Demographic Identity in a Language Model

MLP-Mixer: An all-MLP Architecture for Vision

ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

A Survey on Large Language Model based Autonomous Agents

Do Geometry-Aware Positional Encodings Help Transformers in Spatial Imperfect-Information Games?

Energy and Policy Considerations for Deep Learning in NLP

Automatic chemical design using a data-driven continuous representation of molecules

MixMatch: A Holistic Approach to Semi-Supervised Learning

Unsupervised Representation Learning by Predicting Image Rotations

SuperPoint: Self-Supervised Interest Point Detection and Description

Visible Reasoning and Indirect Prompt-Injection Monitorability Across English, Tamil, and Tanglish

Sigmoid Loss for Language Image Pre-Training

Training Compute-Optimal Large Language Models

In Defense of the Triplet Loss for Person Re-Identification

Multi-view Convolutional Neural Networks for 3D Shape Recognition

Gradient Episodic Memory for Continual Learning

Demographic Injection in Medical Language Models under Diversity, Equity, and Inclusion Prompts

A Convolutional Neural Network for Modelling Sentences

The Price of Thinking: Reasoning Effort as a Model-Specific API Contract

Dense Expands, Sparse Anchors: Channel-Asymmetric Query Expansion for Hybrid Retrieval

Continual Lifelong Learning with Neural Networks: A Review