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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50,461 to 50,520 of 61,134

Structured Knowledge Distillation for Dense Prediction
Yifan Liu, Changyong Shun, Jingdong Wang +1
cs.CVarXiv:1903.04197v72019
Segment Length Matters: A Study of Segment Lengths on Audio Fingerprinting Performance
Ziling Gong, Yunyan Ouyang, Iram Kamdar +5
cs.SDcs.AIcs.IRarXiv:2601.17690v12026
Grounding Isn't Knowing: Do VLMs Need Object Localization for Spatial Reasoning?
Xiwei Liu, Yulong Li, Xinlin Zhuang +5
cs.CVarXiv:2608.23074v12026
Domain Generalization for Object Recognition with Multi-task Autoencoders
Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang +1
cs.CVcs.AIcs.LGarXiv:1508.07680v12015
TensorLens: End-to-End Transformer Analysis via High-Order Attention Tensors
Ido Andrew Atad, Itamar Zimerman, Shahar Katz +1
cs.LGarXiv:2601.17958v12026
Following Motion for Sequential Modeling in Video Frame Interpolation
Jaehyun Park, Nam Ik Cho
cs.CVarXiv:2608.22861v12026
Estimating Training Data Influence by Tracing Gradient Descent
Garima Pruthi, Frederick Liu, Mukund Sundararajan +1
cs.LGstat.MLarXiv:2002.08484v32020
Hopfield Networks is All You Need
Hubert Ramsauer, Bernhard Schäfl, Johannes Lehner +13
cs.NEcs.CLcs.LGarXiv:2008.02217v32020
Artificial Intelligence in the Creative Industries: A Review
Nantheera Anantrasirichai, David Bull
cs.CVcs.AIcs.LGarXiv:2007.12391v62020
Hierarchical Exponential-Gaussian Mixtures for Watch-Time Distribution Prediction
Sofia Gulevskaia, Mikhail Trapeznikov, Aleksandr Poslavsky +1
cs.IRcs.LGstat.MLarXiv:2608.23356v12026
Inertial Manifold Neural Operator for Dissipative Time-Dependent Partial Differential Equations
Xiaoyang Xie, Clarence W. Rowley
math.NAcs.LGmath.DSarXiv:2608.23546v12026
BEAR: Budgeted Evidence Allocation for Multi-Document Reasoning
Lin Sun, Linglin Zhang, Jingang Huang +3
cs.CLarXiv:2601.18116v22026
Quantum computing with atomic qubits and Rydberg interactions: Progress and challenges
M. Saffman
quant-phphysics.atom-pharXiv:1605.05207v22016
Typhoon-S: Minimal Open Post-Training for Sovereign Large Language Models
Kunat Pipatanakul, Pittawat Taveekitworachai
cs.CLcs.AIarXiv:2601.18129v12026
Beyond Imitation: Reinforcement Learning for Active Latent Planning
Zhi Zheng, Wee Sun Lee
cs.AIarXiv:2601.21598v12026
Neural Architecture Optimization
Renqian Luo, Fei Tian, Tao Qin +2
cs.LGstat.MLarXiv:1808.07233v52018
Spicing up Genetic Netlist Generation with LLMs
Stefan Uhlich, Yağız Gençer, Andrea Bonetti +4
cs.NEcs.ARcs.LGarXiv:2608.23317v12026
EGAMA-RC: Risk-Calibrated Evidence-Gated Adaptive Malware Analysis for Robust and Interpretable Memory-Forensic Triage
Isaac Kofi Nti
cs.CRcs.LGarXiv:2608.22721v12026
Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus
Jesse Dodge, Maarten Sap, Ana Marasović +5
cs.CLcs.AIarXiv:2104.08758v22021
TokenTrim: Inference-Time Token Pruning for Autoregressive Long Video Generation
Ariel Shaulov, Eitan Shaar, Amit Edenzon +1
cs.CVcs.AIarXiv:2602.00268v12026
OLMo: Accelerating the Science of Language Models
Dirk Groeneveld, Iz Beltagy, Pete Walsh +40
cs.CLarXiv:2402.00838v42024
WARP: Wasserstein-Aligned RAG for Population Opinions
Aman Singh Thakur, Aditya Agrawal, Alwarappan Nakkiran +1
cs.IRcs.CLarXiv:2608.22859v12026
Stochastic gradient descent on Riemannian manifolds
Silvere Bonnabel
math.OCcs.LGstat.MLarXiv:1111.5280v42011
Making AI Forget You: Data Deletion in Machine Learning
Antonio Ginart, Melody Y. Guan, Gregory Valiant +1
cs.LGstat.MLarXiv:1907.05012v22019
Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling
Bing Liu, Ian Lane
cs.CLarXiv:1609.01454v12016
Ten Years of Pedestrian Detection, What Have We Learned?
Rodrigo Benenson, Mohamed Omran, Jan Hosang +1
cs.CVarXiv:1411.4304v12014
Flesch-Kincaid Readability Depends Only on the Topic Distribution in Long Texts under Topic Models
Yo Ehara
cs.CLarXiv:2608.23327v12026
Bottom-Up Abstractive Summarization
Sebastian Gehrmann, Yuntian Deng, Alexander M. Rush
cs.CLcs.AIcs.LGarXiv:1808.10792v22018
DelistBench: Evaluating Search-Enabled LLMs for Auditable Corporate-Event Database Completion
Xuan Yao, Li Shuping, Dai Yang +2
cs.CLarXiv:2608.22770v12026
Rotation-invariant convolutional neural networks for galaxy morphology prediction
Sander Dieleman, Kyle W. Willett, Joni Dambre
astro-ph.IMastro-ph.GAcs.CVarXiv:1503.07077v12015
Seeing the Unseen: Semantic-in-Gaussian for Sparse-View 3D Generalization
Zeyang Bai, Yunpeng Wang, Yunbiao Wang +1
cs.CVarXiv:2608.22740v12026
Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks
Meng-Hao Guo, Zheng-Ning Liu, Tai-Jiang Mu +1
cs.CVarXiv:2105.02358v22021
Selective Steering: Norm-Preserving Control Through Discriminative Layer Selection
Quy-Anh Dang, Chris Ngo
cs.LGcs.AIarXiv:2601.19375v12026
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation
Daniel Stoller, Sebastian Ewert, Simon Dixon
cs.SDeess.ASstat.MLarXiv:1806.03185v12018
STORM: Slot-based Task-aware Object-centric Representation for robotic Manipulation
Alexandre Chapin, Emmanuel Dellandréa, Liming Chen
cs.ROarXiv:2601.20381v32026
ConceptMoE: Adaptive Token-to-Concept Compression for Implicit Compute Allocation
Zihao Huang, Jundong Zhou, Xingwei Qu +2
cs.LGarXiv:2601.21420v12026
SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient
Lam M. Nguyen, Jie Liu, Katya Scheinberg +1
stat.MLcs.LGmath.OCarXiv:1703.00102v22017
Retrieval-Infused Reasoning Sandbox: A Benchmark for Decoupling Retrieval and Reasoning Capabilities
Shuangshuang Ying, Zheyu Wang, Yunjian Peng +16
cs.AIarXiv:2601.21937v22026
Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review
Jiaxin Li, Danfeng Hong, Lianru Gao +4
cs.CVcs.LGeess.SParXiv:2205.01380v12022
Routing the Lottery: Adaptive Subnetworks for Heterogeneous Data
Grzegorz Stefanski, Alberto Presta, Michal Byra
cs.AIcs.CVcs.LGarXiv:2601.22141v12026
Movable Antennas for Wireless Communication: Opportunities and Challenges
Lipeng Zhu, Wenyan Ma, Rui Zhang
cs.ITeess.SParXiv:2306.02331v22023
AI-Generated Image Detectors Overrely on Global Artifacts: Evidence from Inpainting Exchange
Elif Nebioglu, Emirhan Bilgiç, Adrian Popescu
cs.CVcs.AIarXiv:2602.00192v12026
Philosophy and the practice of Bayesian statistics
Andrew Gelman, Cosma Rohilla Shalizi
math.STphysics.data-anarXiv:1006.3868v42010
Quantum Reservoir Computing with Physics-Informed Correction for Reduced-Order PDE Forecasting
Krishna Bhatia, Harsh, Shalini Devendrababu
quant-phcs.LGarXiv:2608.23119v12026
Clipping-Free Policy Optimization for Large Language Models
Ömer Veysel Çağatan, Barış Akgün, Gözde Gül Şahin +1
cs.LGarXiv:2601.22801v12026
Horizontal visibility graphs: exact results for random time series
Bartolo Luque, Lucas Lacasa, Fernando Ballesteros +1
physics.data-ancond-mat.stat-mechnlin.CDarXiv:1002.4526v12010
DSAC - Differentiable RANSAC for Camera Localization
Eric Brachmann, Alexander Krull, Sebastian Nowozin +4
cs.CVarXiv:1611.05705v42016
Wiki Live Challenge: Challenging Deep Research Agents with Expert-Level Wikipedia Articles
Shaohan Wang, Benfeng Xu, Licheng Zhang +5
cs.CLarXiv:2602.01590v22026
Searching for A Robust Neural Architecture in Four GPU Hours
Xuanyi Dong, Yi Yang
cs.CVarXiv:1910.04465v22019
How Far Ahead Do LLMs Plan? Uncovering the Latent Horizon in Chain-of-Thought Reasoning
Liyan Xu, Mo Yu, Fandong Meng +1
cs.LGcs.CLarXiv:2602.02103v22026
To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making
Zana Buçinca, Maja Barbara Malaya, Krzysztof Z. Gajos
cs.HCcs.AIarXiv:2102.09692v12021
Self-Rewarding Sequential Monte Carlo for Masked Diffusion Language Models
Ziwei Luo, Ziqi Jin, Lei Wang +2
cs.LGarXiv:2602.01849v12026
Assemblathon 2: evaluating de novo methods of genome assembly in three vertebrate species
Keith R. Bradnam, Joseph N. Fass, Anton Alexandrov +88
q-bio.GNarXiv:1301.5406v32013
DASH: Faster Shampoo via Batched Block Preconditioning and Efficient Inverse-Root Solvers
Ionut-Vlad Modoranu, Philip Zmushko, Erik Schultheis +2
cs.LGarXiv:2602.02016v22026
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
Kexin Yi, Jiajun Wu, Chuang Gan +3
cs.AIcs.CLcs.CVarXiv:1810.02338v22018
Exploring Dowker Homology for Sentence Similarity
Marius Huber, Juri Opitz
cs.CLarXiv:2608.22909v12026
Learn2Fold: Structured Origami Generation with World Model Planning
Yanjia Huang, Yunuo Chen, Ying Jiang +4
cs.GRcs.AIarXiv:2603.29585v22026
ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning
Jingwei Song, Meng Chen, Jie Xiao +15
cs.LGcs.DCarXiv:2602.02192v52026
Cross-Lingual Stability of LLM Judges Under Controlled Generation: Evidence from Finno-Ugric Languages
Isaac Chung, Linda Freienthal
cs.CLarXiv:2602.02287v12026
Evolutionary game theory: Temporal and spatial effects beyond replicator dynamics
Carlos P. Roca, José A. Cuesta, Angel Sánchez
q-bio.PEcs.GTphysics.soc-pharXiv:0911.1720v12009

Every paper with a summary

Structured Knowledge Distillation for Dense Prediction

Segment Length Matters: A Study of Segment Lengths on Audio Fingerprinting Performance

Grounding Isn't Knowing: Do VLMs Need Object Localization for Spatial Reasoning?

Domain Generalization for Object Recognition with Multi-task Autoencoders

TensorLens: End-to-End Transformer Analysis via High-Order Attention Tensors

Following Motion for Sequential Modeling in Video Frame Interpolation

Estimating Training Data Influence by Tracing Gradient Descent

Hopfield Networks is All You Need

Artificial Intelligence in the Creative Industries: A Review

Hierarchical Exponential-Gaussian Mixtures for Watch-Time Distribution Prediction

Inertial Manifold Neural Operator for Dissipative Time-Dependent Partial Differential Equations

BEAR: Budgeted Evidence Allocation for Multi-Document Reasoning

Quantum computing with atomic qubits and Rydberg interactions: Progress and challenges

Typhoon-S: Minimal Open Post-Training for Sovereign Large Language Models

Beyond Imitation: Reinforcement Learning for Active Latent Planning

Neural Architecture Optimization

Spicing up Genetic Netlist Generation with LLMs

EGAMA-RC: Risk-Calibrated Evidence-Gated Adaptive Malware Analysis for Robust and Interpretable Memory-Forensic Triage

Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus

TokenTrim: Inference-Time Token Pruning for Autoregressive Long Video Generation

OLMo: Accelerating the Science of Language Models

WARP: Wasserstein-Aligned RAG for Population Opinions

Stochastic gradient descent on Riemannian manifolds

Making AI Forget You: Data Deletion in Machine Learning

Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling

Ten Years of Pedestrian Detection, What Have We Learned?

Flesch-Kincaid Readability Depends Only on the Topic Distribution in Long Texts under Topic Models

Bottom-Up Abstractive Summarization

DelistBench: Evaluating Search-Enabled LLMs for Auditable Corporate-Event Database Completion

Rotation-invariant convolutional neural networks for galaxy morphology prediction

Seeing the Unseen: Semantic-in-Gaussian for Sparse-View 3D Generalization

Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks

Selective Steering: Norm-Preserving Control Through Discriminative Layer Selection

Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation

STORM: Slot-based Task-aware Object-centric Representation for robotic Manipulation

ConceptMoE: Adaptive Token-to-Concept Compression for Implicit Compute Allocation

SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient

Retrieval-Infused Reasoning Sandbox: A Benchmark for Decoupling Retrieval and Reasoning Capabilities

Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review

Routing the Lottery: Adaptive Subnetworks for Heterogeneous Data

Movable Antennas for Wireless Communication: Opportunities and Challenges

AI-Generated Image Detectors Overrely on Global Artifacts: Evidence from Inpainting Exchange

Philosophy and the practice of Bayesian statistics

Quantum Reservoir Computing with Physics-Informed Correction for Reduced-Order PDE Forecasting

Clipping-Free Policy Optimization for Large Language Models

Horizontal visibility graphs: exact results for random time series

DSAC - Differentiable RANSAC for Camera Localization

Wiki Live Challenge: Challenging Deep Research Agents with Expert-Level Wikipedia Articles

Searching for A Robust Neural Architecture in Four GPU Hours

How Far Ahead Do LLMs Plan? Uncovering the Latent Horizon in Chain-of-Thought Reasoning

To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making

Self-Rewarding Sequential Monte Carlo for Masked Diffusion Language Models

Assemblathon 2: evaluating de novo methods of genome assembly in three vertebrate species

DASH: Faster Shampoo via Batched Block Preconditioning and Efficient Inverse-Root Solvers

Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding

Exploring Dowker Homology for Sentence Similarity

Learn2Fold: Structured Origami Generation with World Model Planning

ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning

Cross-Lingual Stability of LLM Judges Under Controlled Generation: Evidence from Finno-Ugric Languages

Evolutionary game theory: Temporal and spatial effects beyond replicator dynamics