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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53,941 to 54,000 of 118,136

Routing Manifold Alignment Improves Generalization of Mixture-of-Experts LLMs
Zhongyang Li, Ziyue Li, Tianyi Zhou
cs.LGarXiv:2511.07419v22025
A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection
Shelly Sheynin, Sagie Benaim, Lior Wolf
cs.CVcs.LGarXiv:2104.14535v12021
Do Attention Heads in BERT Track Syntactic Dependencies?
Phu Mon Htut, Jason Phang, Shikha Bordia +1
cs.CLarXiv:1911.12246v12019
ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability
Zhongxiang Sun, Xiaoxue Zang, Kai Zheng +6
cs.CLarXiv:2410.11414v22024
Less is More: DocString Compression in Code Generation
Guang Yang, Yu Zhou, Wei Cheng +7
cs.SEarXiv:2410.22793v32024
Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection
Ziteng Cui, Guo-Jun Qi, Lin Gu +3
cs.CVarXiv:2205.03346v12022
COVID-19 Multidimensional Kaggle Literature Organization
Maksim E. Eren, Nick Solovyev, Chris Hamer +3
cs.LGcs.DLarXiv:2107.08190v22021
Preference Shapes Relevance: Cross-component Hierarchical Semantic Alignment for Personalized Generative Retrieval
Gaoming Zhang, Angqing Jiang, Jianchun Song +4
cs.IRcs.AIarXiv:2608.30553v12026
Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition
Jiahui She, Yibo Hu, Hailin Shi +3
cs.CVarXiv:2104.00232v12021
Focus beyond quadratic speedups for error-corrected quantum advantage
Ryan Babbush, Jarrod McClean, Michael Newman +3
quant-pharXiv:2011.04149v22020
Climate-Invariant Machine Learning
Tom Beucler, Pierre Gentine, Janni Yuval +10
cs.LGphysics.ao-phphysics.comp-pharXiv:2112.08440v52021
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models
Shangbin Feng, Chan Young Park, Yuhan Liu +1
cs.CLarXiv:2305.08283v32023
SHIFT: Surface-aware High-speed Integration For TSDFs
Ayaan Choudhury, Lokender Tiwari
cs.ROarXiv:2609.06547v12026
Classical simulation of quantum computation, the Gottesman-Knill theorem, and slightly beyond
M. Van den Nest
quant-pharXiv:0811.0898v22008
Complex spectrogram enhancement by convolutional neural network with multi-metrics learning
Szu-Wei Fu, Ting-yao Hu, Yu Tsao +1
stat.MLcs.LGcs.SDarXiv:1704.08504v22017
Towards Climate Awareness in NLP Research
Daniel Hershcovich, Nicolas Webersinke, Mathias Kraus +2
cs.CLcs.CYarXiv:2205.05071v42022
Benefits of V2V Communication for Autonomous and Connected Vehicles
Swaroop Darbha, Shyamprasad Konduri, Prabhakar R. Pagilla
eess.SYarXiv:1803.02900v12018
GraphLab: A New Framework for Parallel Machine Learning
Yucheng Low, Joseph Gonzalez, Aapo Kyrola +3
cs.LGcs.DCarXiv:1006.4990v12010
Quantum ESPRESSO toward the exascale
Paolo Giannozzi, Oscar Baseggio, Pietro Bonfà +12
physics.comp-pharXiv:2104.10502v22021
Towards an Expressivity-Normalized Energy-Demand Comparison of ANNs and SNNs
Miriam Kranzlmüller, Pascal Esser, Gitta Kutyniok
cs.LGarXiv:2608.29869v12026
The Vadalog System: Datalog-based Reasoning for Knowledge Graphs
Luigi Bellomarini, Georg Gottlob, Emanuel Sallinger
cs.DBcs.AIarXiv:1807.08709v12018
Learning Video Representations using Contrastive Bidirectional Transformer
Chen Sun, Fabien Baradel, Kevin Murphy +1
cs.LGcs.CVstat.MLarXiv:1906.05743v22019
Improved training of end-to-end attention models for speech recognition
Albert Zeyer, Kazuki Irie, Ralf Schlüter +1
cs.CLcs.LGstat.MLarXiv:1805.03294v12018
Multi-Dimensional Recurrent Neural Networks
Alex Graves, Santiago Fernandez, Juergen Schmidhuber
cs.AIcs.CVarXiv:0705.2011v12007
Constant overhead quantum fault-tolerance with quantum expander codes
Omar Fawzi, Antoine Grospellier, Anthony Leverrier
quant-phcs.ITarXiv:1808.03821v12018
Flexible Motion Generation from Language and Style References
Kai Weixian Lan, Bodie Criswell, Briana Fedkiw +3
cs.CVcs.GRcs.LGarXiv:2609.08032v12026
Quantifying the Engagement Trap: Impact of Short-form Video Recommender Systems on Users with ADHD
Vedad Misirlic, Gregor Mayr, Elisabeth Lex
cs.HCcs.AIarXiv:2609.07795v12026
Personalized Federated Learning with Gaussian Processes
Idan Achituve, Aviv Shamsian, Aviv Navon +2
cs.LGstat.MLarXiv:2106.15482v22021
The Automatic Learning for the Rapid Classification of Events (ALeRCE) Alert Broker
F. Förster, G. Cabrera-Vives, E. Castillo-Navarrete +37
astro-ph.IMastro-ph.HEastro-ph.SRarXiv:2008.03303v12020
Retrieval-Augmented Generation with Graphs (GraphRAG)
Haoyu Han, Yu Wang, Harry Shomer +15
cs.IRcs.CLcs.LGarXiv:2501.00309v22024
Deep Learning based Recommender System: A Survey and New Perspectives
Shuai Zhang, Lina Yao, Aixin Sun +1
cs.IRarXiv:1707.07435v72017
Cambrian-S: Towards Spatial Supersensing in Video
Shusheng Yang, Jihan Yang, Pinzhi Huang +12
cs.CVarXiv:2511.04670v12025
mmIR: Frequency-Space Inverse Rendering for 3D Millimeter-Wave Radar ADC Synthesis
Adnan Armouti, Yixuan Gao, Rajalakshmi Nandakumar
cs.CVcs.GRcs.LGarXiv:2608.28913v12026
PPIM: Pennes Physics-Informed Mamba for Heat-Source-Conditioned 3D Bioheat Simulation
Dongyun Lee, Kyungho Yoon, Minwoo Shin
cs.LGmath-phmath.MParXiv:2609.06869v12026
Neo: A Learned Query Optimizer
Ryan Marcus, Parimarjan Negi, Hongzi Mao +5
cs.DBarXiv:1904.03711v12019
Video Generation Models in Robotics -- Applications, Research Challenges, Future Directions
Zhiting Mei, Tenny Yin, Ola Shorinwa +9
eess.SYcs.ROarXiv:2601.07823v12026
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning
Cheng Tan, Zhangyang Gao, Lirong Wu +4
cs.CVcs.AIarXiv:2206.12126v32022
Classical Hardness of Learning with Errors
Zvika Brakerski, Adeline Langlois, Chris Peikert +2
cs.CCcs.CRarXiv:1306.0281v12013
Portable Causal Fairness Across Synthetic Data Generator Families
Steven Golob, Sikha Pentyala, Martine De Cock
cs.LGarXiv:2609.03180v12026
3D Human Action Representation Learning via Cross-View Consistency Pursuit
Linguo Li, Minsi Wang, Bingbing Ni +3
cs.CVarXiv:2104.14466v22021
Goal Force: Teaching Video Models To Accomplish Physics-Conditioned Goals
Nate Gillman, Yinghua Zhou, Zitian Tang +6
cs.CVcs.AIcs.ROarXiv:2601.05848v22026
An Optimal and Distributed Method for Voltage Regulation in Power Distribution Systems
Baosen Zhang, Albert Y. S. Lam, Alejandro Dominguez-Garcia +1
math.OCcs.ITeess.SYarXiv:1204.5226v42012
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
Salva Rühling Cachay, Bo Zhao, Hailey Joren +1
cs.LGcs.AIstat.MLarXiv:2306.01984v22023
Unlocking Out-of-Distribution Generalization in Transformers via Recursive Latent Space Reasoning
Awni Altabaa, Siyu Chen, John Lafferty +1
cs.LGcs.AIarXiv:2510.14095v12025
Tree-Structured Reinforcement Learning for Sequential Object Localization
Zequn Jie, Xiaodan Liang, Jiashi Feng +3
cs.CVarXiv:1703.02710v12017
Unbiased Learning to Rank with Unbiased Propensity Estimation
Qingyao Ai, Keping Bi, Cheng Luo +2
cs.IRarXiv:1804.05938v22018
LazyDAgger: Reducing Context Switching in Interactive Imitation Learning
Ryan Hoque, Ashwin Balakrishna, Carl Putterman +6
cs.ROcs.AIarXiv:2104.00053v22021
Probing Image-Language Transformers for Verb Understanding
Lisa Anne Hendricks, Aida Nematzadeh
cs.CLcs.CVarXiv:2106.09141v12021
LoRA vs Full Fine-tuning: An Illusion of Equivalence
Reece Shuttleworth, Jacob Andreas, Antonio Torralba +1
cs.LGcs.CLarXiv:2410.21228v32024
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
Edward Choi, Siddharth Biswal, Bradley Malin +3
cs.LGcs.NEarXiv:1703.06490v32017
Revisiting Self-Supervised Visual Representation Learning
Alexander Kolesnikov, Xiaohua Zhai, Lucas Beyer
cs.CVarXiv:1901.09005v12019
Invisible Steganography via Generative Adversarial Networks
Ru Zhang, Shiqi Dong, Jianyi Liu
cs.MMcs.CVarXiv:1807.08571v32018
Distribution-Aware Sampling and Weighted Model Counting for SAT
Supratik Chakraborty, Daniel J. Fremont, Kuldeep S. Meel +2
cs.AIcs.DSarXiv:1404.2984v12014
Model reduction of port-Hamiltonian systems via neural networks
Silke Glas, Alexander Heinlein, Harald Monsuur +1
math.NAarXiv:2608.30788v12026
Understanding and Evaluating Racial Biases in Image Captioning
Dora Zhao, Angelina Wang, Olga Russakovsky
cs.CVarXiv:2106.08503v22021
Vision-Language Grounding as Bidirectional Concept Correspondence
Jieyu Zhang, Ziqi Gao, Luke Zettlemoyer +1
cs.CVcs.AIcs.CLarXiv:2608.07886v12026
From Multi-Agent to Single-Agent: When Is Skill Distillation Beneficial?
Binyan Xu, Dong Fang, Haitao Li +1
cs.AIarXiv:2604.01608v52026
Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification
Yukang Zhang, Hanzi Wang
cs.CVarXiv:2303.14481v12023
The Consensus Number of a Cryptocurrency (Extended Version)
Rachid Guerraoui, Petr Kuznetsov, Matteo Monti +2
cs.DCarXiv:1906.05574v12019
A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Examples
Beilun Wang, Ji Gao, Yanjun Qi
cs.LGcs.CRcs.CVarXiv:1612.00334v122016

Every paper with a summary

Routing Manifold Alignment Improves Generalization of Mixture-of-Experts LLMs

A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection

Do Attention Heads in BERT Track Syntactic Dependencies?

ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability

Less is More: DocString Compression in Code Generation

Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection

COVID-19 Multidimensional Kaggle Literature Organization

Preference Shapes Relevance: Cross-component Hierarchical Semantic Alignment for Personalized Generative Retrieval

Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition

Focus beyond quadratic speedups for error-corrected quantum advantage

Climate-Invariant Machine Learning

From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

SHIFT: Surface-aware High-speed Integration For TSDFs

Classical simulation of quantum computation, the Gottesman-Knill theorem, and slightly beyond

Complex spectrogram enhancement by convolutional neural network with multi-metrics learning

Towards Climate Awareness in NLP Research

Benefits of V2V Communication for Autonomous and Connected Vehicles

GraphLab: A New Framework for Parallel Machine Learning

Quantum ESPRESSO toward the exascale

Towards an Expressivity-Normalized Energy-Demand Comparison of ANNs and SNNs

The Vadalog System: Datalog-based Reasoning for Knowledge Graphs

Learning Video Representations using Contrastive Bidirectional Transformer

Improved training of end-to-end attention models for speech recognition

Multi-Dimensional Recurrent Neural Networks

Constant overhead quantum fault-tolerance with quantum expander codes

Flexible Motion Generation from Language and Style References

Quantifying the Engagement Trap: Impact of Short-form Video Recommender Systems on Users with ADHD

Personalized Federated Learning with Gaussian Processes

The Automatic Learning for the Rapid Classification of Events (ALeRCE) Alert Broker

Retrieval-Augmented Generation with Graphs (GraphRAG)

Deep Learning based Recommender System: A Survey and New Perspectives

Cambrian-S: Towards Spatial Supersensing in Video

mmIR: Frequency-Space Inverse Rendering for 3D Millimeter-Wave Radar ADC Synthesis

PPIM: Pennes Physics-Informed Mamba for Heat-Source-Conditioned 3D Bioheat Simulation

Neo: A Learned Query Optimizer

Video Generation Models in Robotics -- Applications, Research Challenges, Future Directions

Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning

Classical Hardness of Learning with Errors

Portable Causal Fairness Across Synthetic Data Generator Families

3D Human Action Representation Learning via Cross-View Consistency Pursuit

Goal Force: Teaching Video Models To Accomplish Physics-Conditioned Goals

An Optimal and Distributed Method for Voltage Regulation in Power Distribution Systems

DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting

Unlocking Out-of-Distribution Generalization in Transformers via Recursive Latent Space Reasoning

Tree-Structured Reinforcement Learning for Sequential Object Localization

Unbiased Learning to Rank with Unbiased Propensity Estimation

LazyDAgger: Reducing Context Switching in Interactive Imitation Learning

Probing Image-Language Transformers for Verb Understanding

LoRA vs Full Fine-tuning: An Illusion of Equivalence

Generating Multi-label Discrete Patient Records using Generative Adversarial Networks

Revisiting Self-Supervised Visual Representation Learning

Invisible Steganography via Generative Adversarial Networks

Distribution-Aware Sampling and Weighted Model Counting for SAT

Model reduction of port-Hamiltonian systems via neural networks

Understanding and Evaluating Racial Biases in Image Captioning

Vision-Language Grounding as Bidirectional Concept Correspondence

From Multi-Agent to Single-Agent: When Is Skill Distillation Beneficial?

Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification

The Consensus Number of a Cryptocurrency (Extended Version)

A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Examples