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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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86,401 to 86,460 of 102,851

A Context-Aware User-Item Representation Learning for Item Recommendation
Libing Wu, Cong Quan, Chenliang Li +2
cs.IRarXiv:1712.02342v52017
TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation
Feng Yu, Yanqiao Zhu, Qiang Liu +3
cs.IRcs.LGarXiv:2005.02844v12020
EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution
Yi Xiao, Qiangqiang Yuan, Kui Jiang +3
eess.IVcs.CVarXiv:2310.19288v12023
RocketEval: Efficient Automated LLM Evaluation via Grading Checklist
Tianjun Wei, Wei Wen, Ruizhi Qiao +2
cs.CLarXiv:2503.05142v12025
Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness
Felix Friedrich, Manuel Brack, Lukas Struppek +4
cs.LGcs.AIcs.CVarXiv:2302.10893v32023
CONTRA: Conformal Prediction Region via Normalizing Flow Transformation
Zhenhan Fang, Aixin Tan, Jian Huang
stat.MLcs.LGarXiv:2605.08561v12026
Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup
Luyu Gao, Yunyi Zhang, Jiawei Han +1
cs.LGcs.CLcs.IRarXiv:2101.06983v22021
Nonlinear filtering stabilizations for the quasi-geostrophic equations
Lander Besabe, Sachin Kumar, Annalisa Quaini
math.NAphysics.comp-pharXiv:2609.16983v12026
The Multiple Timescales of Gradient Descent on the Edge of Stability: A Perturbative Derivation of the Central Flow
Raphaël Berthier
cs.LGmath.OCstat.MLarXiv:2609.01034v12026
Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models
Minbyul Jeong, Jiwoong Sohn, Mujeen Sung +1
cs.CLcs.AIcs.IRarXiv:2401.15269v32024
Real-Time Feedback-Based Optimization of Distribution Grids: A Unified Approach
Andrey Bernstein, Emiliano Dall'Anese
math.OCarXiv:1711.01627v52017
Faceting for direction-dependent spectral deconvolution
C. Tasse, B. Hugo, M. Mirmont +7
astro-ph.IMarXiv:1712.02078v22017
A Distributional Framework for Data Valuation
Amirata Ghorbani, Michael P. Kim, James Zou
cs.LGstat.MLarXiv:2002.12334v12020
Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective
Weijie Wang, Qihang Cao, Sensen Gao +10
cs.CVcs.AIcs.GRarXiv:2604.14025v12026
Sliced Wasserstein Kernel for Persistence Diagrams
Mathieu Carrière, Marco Cuturi, Steve Oudot
cs.CGmath.ATstat.MLarXiv:1706.03358v32017
Phoneme-Guided Initialization for LLM-based Speech Recognition
Ryo Magoshi, Shinsuke Sakai, Tatsuya Kawahara
eess.AScs.CLcs.SDarXiv:2610.08994v12026
Retrieval-augmented generation vs. deterministic tax computation in multi-agent financial advisory: A 2x2 factorial experiment
Aryan Brar, Justin Du, Avery Lor +2
cs.AIarXiv:2608.23908v12026
Shorter Tours by Nicer Ears: 7/5-approximation for graphic TSP, 3/2 for the path version, and 4/3 for two-edge-connected subgraphs
András Sebő, Jens Vygen
cs.DMcs.DSmath.COarXiv:1201.1870v32012
Adversarially Adaptive Normalization for Single Domain Generalization
Xinjie Fan, Qifei Wang, Junjie Ke +3
cs.CVarXiv:2106.01899v12021
Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks
Wenrui Zhang, Peng Li
cs.NEcs.LGarXiv:1908.06378v32019
Data Augmentation for Intent Classification with Off-the-shelf Large Language Models
Gaurav Sahu, Pau Rodriguez, Issam H. Laradji +3
cs.CLcs.AIarXiv:2204.01959v12022
FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis
Wonjoon Jin, Qi Dai, Chong Luo +2
cs.CVarXiv:2502.08244v22025
Retrieval-Augmented Multimodal Language Modeling
Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi +6
cs.CVcs.CLcs.LGarXiv:2211.12561v22022
Seamless Reconfiguration for DAG-BFT
Michael Yiqing Hu, Leander Jehl, Paul Franke-Bergmann +2
cs.DCarXiv:2610.00896v12026
Imposing Hard Constraints on Deep Networks: Promises and Limitations
Pablo Márquez-Neila, Mathieu Salzmann, Pascal Fua
cs.CVarXiv:1706.02025v12017
Data Poisoning Attacks Against Federated Learning Systems
Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy +1
cs.LGcs.CRstat.MLarXiv:2007.08432v22020
LAVA: Logic-Aware Validation and Augmentation Framework for Large-Scale Financial Document Auditing
Ruoqi Shu, Xuhui Wang, Isaac Wang +2
cs.AIarXiv:2608.16763v12026
Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems
Logan G. Wright, Tatsuhiro Onodera, Martin M. Stein +4
cs.LGcond-mat.dis-nncs.ETarXiv:2104.13386v12021
Jina-OCR-v1: Efficient Document Parsing with Speculative Decoding and Dense Verifiable Rewards
Alejandro Barón García, Feng Wang, Emilia Garcia Casademont +1
cs.CLcs.CVarXiv:2609.03181v12026
On the Limits of LLM Adaptability: Impact of Model-Internalized Priors on Annotation Task Performance
Etienne Casanova, Rafal Kocielnik, R. Michael Alvarez
cs.CLcs.AIcs.LGarXiv:2606.00467v12026
Differentially Private Model Publishing for Deep Learning
Lei Yu, Ling Liu, Calton Pu +2
cs.CRcs.LGarXiv:1904.02200v52019
Colored Noise Diffusion Sampling
Hadar Davidson, Noam Issachar, Sagie Benaim
cs.CVarXiv:2605.30332v12026
Does Inference Scaling Improve Reasoning Faithfulness? A Multi-Model Analysis of Self-Consistency Tradeoffs
Deep Mehta
cs.AIarXiv:2601.06423v12026
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time
Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney +2
cs.CRcs.LGarXiv:1807.07838v42018
Hate Speech Classification In Roman Urdu: A Comparative Study On Parameter Efficient Fine-Tuning And Prompt Engineering
Toneema Zubair
cs.AIarXiv:2608.21408v12026
Improving Sample Quality of Diffusion Models Using Self-Attention Guidance
Susung Hong, Gyuseong Lee, Wooseok Jang +1
cs.CVcs.AIcs.LGarXiv:2210.00939v62022
TSRBench: A Comprehensive Multi-task Multi-modal Time Series Reasoning Benchmark for Generalist Models
Fangxu Yu, Xingang Guo, Lingzhi Yuan +6
cs.AIcs.LGarXiv:2601.18744v22026
Skyra: AI-Generated Video Detection via Grounded Artifact Reasoning
Yifei Li, Wenzhao Zheng, Yanran Zhang +5
cs.CVarXiv:2512.15693v22025
Beyond Token-Local Imitation: Reward-Compatible Temporal Credit Assignment for On-Policy Distillation
Shiqi Liu, Zeyu He, Letian Tao +9
cs.LGcs.AIcs.PLarXiv:2609.16937v12026
When the Curious Abandon Honesty: Federated Learning Is Not Private
Franziska Boenisch, Adam Dziedzic, Roei Schuster +3
cs.LGcs.CRcs.DCarXiv:2112.02918v22021
The Surprising Effectiveness of Approximate Value Iteration in Self-Play
Raphael Boige, Amine Boumaza, Bruno Scherrer
cs.AIarXiv:2609.09094v12026
Embedding Surgery: Localized Updates for Adaptive Ranking Correction in Dense Retrieval
Maddalena Amendola, Antonio Mallia, Raffaele Perego
cs.IRarXiv:2609.05110v12026
Physical Layer Security for Massive MIMO: An Overview on Passive Eavesdropping and Active Attacks
Dzevdan Kapetanovic, Gan Zheng, Fredrik Rusek
cs.ITarXiv:1504.07154v12015
Agent Bazaar: Enabling Economic Alignment in Multi-Agent Marketplaces
Seth Karten, Cameron Crow, Chi Jin
cs.LGcs.MAarXiv:2605.17698v12026
Invocation-Level Reliability of Tool-Using Agents
Afiya Noorain, Subhranshu Mohanty, Amritesh Banerjee +1
cs.AIcs.CLcs.LGarXiv:2608.26189v12026
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
Yihan Cao, Siyu Li, Yixin Liu +4
cs.AIcs.CLcs.LGarXiv:2303.04226v12023
OneLOop: for the evaluation of one-loop scalar functions
A. van Hameren
hep-pharXiv:1007.4716v12010
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning
Maxwell Nye, Michael Henry Tessler, Joshua B. Tenenbaum +1
cs.AIcs.CLcs.LGarXiv:2107.02794v22021
Double: Breaking the Acceleration Limit via Double Retrieval Speculative Parallelism
Yuhao Shen, Tianyu Liu, Junyi Shen +4
cs.CLarXiv:2601.05524v32026
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models
Siming Huang, Tianhao Cheng, J. K. Liu +16
cs.CLcs.PLarXiv:2411.04905v32024
Entropy inference and the James-Stein estimator, with application to nonlinear gene association networks
Jean Hausser, Korbinian Strimmer
stat.MLarXiv:0811.3579v32008
Parallax: Parameterized Local Linear Attention for Language Modeling
Yifei Zuo, Dhruv Pai, Zhichen Zeng +3
cs.LGcs.AIcs.CLarXiv:2605.29157v12026
Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing for Blood Glucose Prediction
Md Fazle Rabby, Yazhou Tu, Md Imran Hossen +3
cs.LGcs.AIarXiv:2101.06850v12021
Fully Sparse 3D Object Detection
Lue Fan, Feng Wang, Naiyan Wang +1
cs.CVcs.ROarXiv:2207.10035v22022
Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation
Dmitry Molchanov, Alexander Lyzhov, Yuliya Molchanova +2
stat.MLcs.CVcs.LGarXiv:2002.09103v22020
dIon: Fragmentation-Based Invariance for Self-Supervised Learning of Tandem Mass Spectra
Alfred Nilsson, Joel Lapin, Samuel H. Payne +2
cs.LGarXiv:2610.06282v12026
Dealing with Stochastic Volatility in Time Series Using the R Package stochvol
Gregor Kastner
stat.COecon.EMq-fin.CParXiv:1906.12134v12019
NoisEasier: Test-Time Noise Optimization for Text-to-Video Generation
Yujiang Pu, Yu Kong
cs.CVarXiv:2608.30194v12026
CosmoSIS: modular cosmological parameter estimation
Joe Zuntz, Marc Paterno, Elise Jennings +6
astro-ph.COastro-ph.IMarXiv:1409.3409v22014
Developing ChemDFM as a large language foundation model for chemistry
Zihan Zhao, Da Ma, Lu Chen +11
cs.CLcs.DLarXiv:2401.14818v62024

Every paper with a summary

A Context-Aware User-Item Representation Learning for Item Recommendation

TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation

EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution

RocketEval: Efficient Automated LLM Evaluation via Grading Checklist

Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness

CONTRA: Conformal Prediction Region via Normalizing Flow Transformation

Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup

Nonlinear filtering stabilizations for the quasi-geostrophic equations

The Multiple Timescales of Gradient Descent on the Edge of Stability: A Perturbative Derivation of the Central Flow

Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models

Real-Time Feedback-Based Optimization of Distribution Grids: A Unified Approach

Faceting for direction-dependent spectral deconvolution

A Distributional Framework for Data Valuation

Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective

Sliced Wasserstein Kernel for Persistence Diagrams

Phoneme-Guided Initialization for LLM-based Speech Recognition

Retrieval-augmented generation vs. deterministic tax computation in multi-agent financial advisory: A 2x2 factorial experiment

Shorter Tours by Nicer Ears: 7/5-approximation for graphic TSP, 3/2 for the path version, and 4/3 for two-edge-connected subgraphs

Adversarially Adaptive Normalization for Single Domain Generalization

Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks

Data Augmentation for Intent Classification with Off-the-shelf Large Language Models

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis

Retrieval-Augmented Multimodal Language Modeling

Seamless Reconfiguration for DAG-BFT

Imposing Hard Constraints on Deep Networks: Promises and Limitations

Data Poisoning Attacks Against Federated Learning Systems

LAVA: Logic-Aware Validation and Augmentation Framework for Large-Scale Financial Document Auditing

Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems

Jina-OCR-v1: Efficient Document Parsing with Speculative Decoding and Dense Verifiable Rewards

On the Limits of LLM Adaptability: Impact of Model-Internalized Priors on Annotation Task Performance

Differentially Private Model Publishing for Deep Learning

Colored Noise Diffusion Sampling

Does Inference Scaling Improve Reasoning Faithfulness? A Multi-Model Analysis of Self-Consistency Tradeoffs

TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time

Hate Speech Classification In Roman Urdu: A Comparative Study On Parameter Efficient Fine-Tuning And Prompt Engineering

Improving Sample Quality of Diffusion Models Using Self-Attention Guidance

TSRBench: A Comprehensive Multi-task Multi-modal Time Series Reasoning Benchmark for Generalist Models

Skyra: AI-Generated Video Detection via Grounded Artifact Reasoning

Beyond Token-Local Imitation: Reward-Compatible Temporal Credit Assignment for On-Policy Distillation

When the Curious Abandon Honesty: Federated Learning Is Not Private

The Surprising Effectiveness of Approximate Value Iteration in Self-Play

Embedding Surgery: Localized Updates for Adaptive Ranking Correction in Dense Retrieval

Physical Layer Security for Massive MIMO: An Overview on Passive Eavesdropping and Active Attacks

Agent Bazaar: Enabling Economic Alignment in Multi-Agent Marketplaces

Invocation-Level Reliability of Tool-Using Agents

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

OneLOop: for the evaluation of one-loop scalar functions

Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning

Double: Breaking the Acceleration Limit via Double Retrieval Speculative Parallelism

OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models

Entropy inference and the James-Stein estimator, with application to nonlinear gene association networks

Parallax: Parameterized Local Linear Attention for Language Modeling

Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing for Blood Glucose Prediction

Fully Sparse 3D Object Detection

Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation

dIon: Fragmentation-Based Invariance for Self-Supervised Learning of Tandem Mass Spectra

Dealing with Stochastic Volatility in Time Series Using the R Package stochvol

NoisEasier: Test-Time Noise Optimization for Text-to-Video Generation

CosmoSIS: modular cosmological parameter estimation

Developing ChemDFM as a large language foundation model for chemistry