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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77,341 to 77,400 of 103,474

Pretraining with hierarchical memories: separating long-tail and common knowledge
Hadi Pouransari, David Grangier, C Thomas +2
cs.CLcs.AIcs.LGarXiv:2510.02375v32025
Localization Distillation for Dense Object Detection
Zhaohui Zheng, Rongguang Ye, Ping Wang +4
cs.CVarXiv:2102.12252v42021
Maximizing Social Influence in Nearly Optimal Time
Christian Borgs, Michael Brautbar, Jennifer Chayes +1
cs.DScs.SIphysics.soc-pharXiv:1212.0884v52012
Word Similarity Datasets for Indian Languages: Annotation and Baseline Systems
Syed S. Akhtar, Arihant Gupta, Avijit Vajpayee +2
cs.CLcs.LGarXiv:2609.34138v12026
Improving the Constant in the Aharonov--Regev Theorem
Shuhong Gao
cs.CCarXiv:2610.09290v12026
ReSPO: Reshaped Sequence Policy Optimization for Gradient Starvation in Off-Policy Learning
Yihang Chen, Yuanhao Ban, Cho-Jui Hsieh
cs.LGcs.AIarXiv:2609.35433v12026
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly
Yongqin Xian, Christoph H. Lampert, Bernt Schiele +1
cs.CVarXiv:1707.00600v42017
Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation
Steffen Eger, Yong Cao, Jennifer D'Souza +11
cs.CLcs.AIcs.CVarXiv:2502.05151v32025
StateGuard: Analytical-State Management with Validity-Aware Intervention for Long-Horizon Data Agents
Wenle Liao, Zhao Wang, Jingchao Zhang +3
cs.AIarXiv:2609.34134v12026
UNREAL: Unifying Retrieval and Long-Context with a Single Model
Edan Kinderman, Elad Hoffer, Yochai Blau +4
cs.CLcs.IRcs.LGarXiv:2610.08463v12026
Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack
Tiansheng Huang, Sihao Hu, Ling Liu
cs.LGcs.CLarXiv:2402.01109v62024
Blind Video Temporal Consistency via Deep Video Prior
Chenyang Lei, Yazhou Xing, Qifeng Chen
cs.CVarXiv:2010.11838v12020
Beyond Factual Knowledge: Benchmarking and Learning Step-Level Procedural Rule Reasoning in Large Language Models
Bohan Yu, Pengfei Cao, Chen Han +7
cs.CLarXiv:2608.22753v12026
A Tale of LLMs and Induced Small Proxies: Scalable Small Language Models for Knowledge Mining
Sipeng Zhang, Longfei Yun, Zilong Wang +2
cs.AIarXiv:2510.01427v42025
Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images
Javier Marin, Aritro Biswas, Ferda Ofli +5
cs.CVarXiv:1810.06553v22018
A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency
Tara N. Sainath, Yanzhang He, Bo Li +26
cs.CLcs.LGcs.SDarXiv:2003.12710v22020
Constrained Decoding for Fill-in-the-Middle Code Language Models via Efficient Left and Right Quotienting of Context-Sensitive Grammars
Daniel Melcer, Nathan Fulton, Sanjay Krishna Gouda +1
cs.PLcs.LGcs.SEarXiv:2402.17988v22024
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman +3
cs.ROcs.AIcs.CVarXiv:2210.00030v22022
A theory of continuous generative flow networks
Salem Lahlou, Tristan Deleu, Pablo Lemos +6
cs.LGstat.MLarXiv:2301.12594v22023
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices
Sadeep Jayasumana, Richard Hartley, Mathieu Salzmann +2
cs.CVarXiv:1412.4172v12014
Qutrit Magic State Distillation
Hussain Anwar, Earl T. Campbell, Dan E. Browne
quant-pharXiv:1202.2326v22012
A Critical Study on Data Leakage in Recommender System Offline Evaluation
Yitong Ji, Aixin Sun, Jie Zhang +1
cs.IRarXiv:2010.11060v42020
Align and Attend: Multimodal Summarization with Dual Contrastive Losses
Bo He, Jun Wang, Jielin Qiu +3
cs.CVarXiv:2303.07284v32023
Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching
Stepan Tulyakov, Anton Ivanov, Francois Fleuret
cs.CVcs.NEarXiv:1806.01677v12018
DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes
Xiaoyu Zhou, Zhiwei Lin, Xiaojun Shan +3
cs.CVarXiv:2312.07920v32023
Graph Neural Networks for Decentralized Multi-Robot Path Planning
Qingbiao Li, Fernando Gama, Alejandro Ribeiro +1
cs.ROcs.AIcs.LGarXiv:1912.06095v22019
Safe Multi-Robot Collaborative Transport Using Density Functions
Jagannath Prasad Sahoo, Sriram S. K. S. Narayanan, Umesh Vaidya
cs.ROarXiv:2610.08441v12026
SKYLENAGE Technical Report: Mathematical Reasoning and Contest-Innovation Benchmarks for Multi-Level Math Evaluation
Hu Wei, Ze Xu, Boyu Yang +15
cs.CLarXiv:2510.01241v12025
Abduction-Based Explanations for Machine Learning Models
Alexey Ignatiev, Nina Narodytska, Joao Marques-Silva
cs.AIarXiv:1811.10656v12018
Unsupervised Statistical Machine Translation
Mikel Artetxe, Gorka Labaka, Eneko Agirre
cs.CLcs.AIcs.LGarXiv:1809.01272v12018
Optimal Strategies for Communication and Remote Estimation with an Energy Harvesting Sensor
Ashutosh Nayyar, Tamer Basar, Demosthenis Teneketzis +1
eess.SYmath.OCarXiv:1205.6018v12012
Who Gets a Token, and What Does It Carry? Unequal Name Support and Concept Access in Large Language Models
Mir Tafseer Nayeem, Davood Rafiei
cs.CLcs.AIcs.CYarXiv:2609.34065v12026
TERRA: Terrain-Aware Reconstruction, Retargeting and Control for Musculoskeletal Locomotion
Merkourios Simos, Chengkun Li, Bianca Ziliotto +1
cs.ROcs.AIcs.LGarXiv:2609.38653v12026
Semi-Supervised Domain Generalization with Stochastic StyleMatch
Kaiyang Zhou, Chen Change Loy, Ziwei Liu
cs.CVcs.AIcs.LGarXiv:2106.00592v22021
Expectations, Explanations, and Embodiment: Attempts at Robot Failure Recovery
Elmira Yadollahi, Fethiye Irmak Dogan, Yujing Zhang +4
cs.ROarXiv:2504.07266v12025
Symmetry-Aware Feature Learning: A Polynomial Separation for Multi-Index Models
Jivan Waber, Vanessa Piccolo, Yatin Dandi +1
cs.LGmath.PRstat.MLarXiv:2610.08420v12026
Align Your Tangent: Training Better Consistency Models via Manifold-Aligned Tangents
Beomsu Kim, Byunghee Cha, Jong Chul Ye
cs.CVcs.AIcs.LGarXiv:2510.00658v12025
CBNet: A Novel Composite Backbone Network Architecture for Object Detection
Yudong Liu, Yongtao Wang, Siwei Wang +4
cs.CVarXiv:1909.03625v12019
A Time-dependent SIR model for COVID-19 with Undetectable Infected Persons
Yi-Cheng Chen, Ping-En Lu, Cheng-Shang Chang +1
q-bio.PEcs.LGstat.MLarXiv:2003.00122v62020
Real Time Bid Optimization with Smooth Budget Delivery in Online Advertising
Kuang-Chih Lee, Ali Jalali, Ali Dasdan
cs.GTcs.LGarXiv:1305.3011v12013
Materials Cartography: Representing and Mining Material Space Using Structural and Electronic Fingerprints
Olexandr Isayev, Denis Fourches, Eugene N. Muratov +4
cond-mat.mtrl-sciarXiv:1412.4096v32014
Robust flow control and optimal sensor placement using deep reinforcement learning
Romain Paris, Samir Beneddine, Julien Dandois
physics.flu-dynarXiv:2006.11005v22020
What, Where and How to Transfer in SAR Target Recognition Based on Deep CNNs
Zhongling Huang, Zongxu Pan, Bin Lei
eess.SPcs.CVarXiv:1906.01379v12019
Designing the Future of User Feedback for Generative AI
Alisa Frik, Julia Bernd, Amitis Karami +1
cs.AIarXiv:2610.02631v12026
Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control
Guangzhi Tang, Neelesh Kumar, Raymond Yoo +1
cs.NEcs.LGcs.ROarXiv:2010.09635v12020
Image Fidelity is Not Field Fidelity: Joint Thermodynamic Reconstruction and Error Localization in Neural Tomography
Alan Hsu, Jenna Samra, Alin Razvan Paraschiv +1
cs.LGastro-ph.IMastro-ph.SRarXiv:2609.28868v12026
WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation
Yuwei Niu, Munan Ning, Mengren Zheng +9
cs.CVcs.AIcs.CLarXiv:2503.07265v42025
PianoKontext: Expressive Performance Rendering from Deadpan Context
Dmitrii Gavrilev
cs.SDcs.LGarXiv:2606.12282v12026
On Empirical Comparisons of Optimizers for Deep Learning
Dami Choi, Christopher J. Shallue, Zachary Nado +3
cs.LGstat.MLarXiv:1910.05446v32019
Dense 3D Object Reconstruction from a Single Depth View
Bo Yang, Stefano Rosa, Andrew Markham +2
cs.CVcs.AIcs.LGarXiv:1802.00411v22018
Stabilized Cat in Driven Nonlinear Cavity: A Fault-Tolerant Error Syndrome Detector
Shruti Puri, Alexander Grimm, Philippe Campagne-Ibarcq +7
quant-pharXiv:1807.09334v12018
Practical Deep Raw Image Denoising on Mobile Devices
Yuzhi Wang, Haibin Huang, Qin Xu +3
eess.IVcs.CVarXiv:2010.06935v12020
Optimal Uncertainty Quantification
Houman Owhadi, Clint Scovel, Timothy John Sullivan +2
math.PRcs.ITmath.ITarXiv:1009.0679v32010
Self-conditioned Flow Map Language Models via Fixed-point Flows
Jaehoon Yoo, Wonjung Kim, Floor Eijkelboom +4
cs.CLcs.AIarXiv:2607.00714v22026
AgentLongBench: A Controllable Long Benchmark For Long-Contexts Agents via Environment Rollouts
Shicheng Fang, Yuxin Wang, Xiaoran Liu +6
cs.CLarXiv:2601.20730v32026
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung, Caglar Gulcehre, KyungHyun Cho +1
cs.NEcs.LGarXiv:1412.3555v12014
DynaFLIP: Rethinking Robotics Perception via Tri-Modal-Dynamics Guided Representation
Jusuk Lee, Seungjae Lee, Jonghun Shin +6
cs.ROcs.LGarXiv:2605.30350v12026
Augur: a decentralized oracle and prediction market platform
Jack Peterson, Joseph Krug, Micah Zoltu +2
cs.CRarXiv:1501.01042v32015
On the Number of Linear Regions of Deep Neural Networks
Guido Montúfar, Razvan Pascanu, Kyunghyun Cho +1
stat.MLcs.LGcs.NEarXiv:1402.1869v22014
From 2D system to 1D system via restriction to a vertical strip: applications to time-controllability and zero-time-controllability
Aishwarya Bharti, Debasattam Pal
eess.SYcs.SYarXiv:2610.08415v12026

Every paper with a summary

Pretraining with hierarchical memories: separating long-tail and common knowledge

Localization Distillation for Dense Object Detection

Maximizing Social Influence in Nearly Optimal Time

Word Similarity Datasets for Indian Languages: Annotation and Baseline Systems

Improving the Constant in the Aharonov--Regev Theorem

ReSPO: Reshaped Sequence Policy Optimization for Gradient Starvation in Off-Policy Learning

Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly

Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation

StateGuard: Analytical-State Management with Validity-Aware Intervention for Long-Horizon Data Agents

UNREAL: Unifying Retrieval and Long-Context with a Single Model

Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack

Blind Video Temporal Consistency via Deep Video Prior

Beyond Factual Knowledge: Benchmarking and Learning Step-Level Procedural Rule Reasoning in Large Language Models

A Tale of LLMs and Induced Small Proxies: Scalable Small Language Models for Knowledge Mining

Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images

A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency

Constrained Decoding for Fill-in-the-Middle Code Language Models via Efficient Left and Right Quotienting of Context-Sensitive Grammars

VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training

A theory of continuous generative flow networks

Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices

Qutrit Magic State Distillation

A Critical Study on Data Leakage in Recommender System Offline Evaluation

Align and Attend: Multimodal Summarization with Dual Contrastive Losses

Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching

DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes

Graph Neural Networks for Decentralized Multi-Robot Path Planning

Safe Multi-Robot Collaborative Transport Using Density Functions

SKYLENAGE Technical Report: Mathematical Reasoning and Contest-Innovation Benchmarks for Multi-Level Math Evaluation

Abduction-Based Explanations for Machine Learning Models

Unsupervised Statistical Machine Translation

Optimal Strategies for Communication and Remote Estimation with an Energy Harvesting Sensor

Who Gets a Token, and What Does It Carry? Unequal Name Support and Concept Access in Large Language Models

TERRA: Terrain-Aware Reconstruction, Retargeting and Control for Musculoskeletal Locomotion

Semi-Supervised Domain Generalization with Stochastic StyleMatch

Expectations, Explanations, and Embodiment: Attempts at Robot Failure Recovery

Symmetry-Aware Feature Learning: A Polynomial Separation for Multi-Index Models

Align Your Tangent: Training Better Consistency Models via Manifold-Aligned Tangents

CBNet: A Novel Composite Backbone Network Architecture for Object Detection

A Time-dependent SIR model for COVID-19 with Undetectable Infected Persons

Real Time Bid Optimization with Smooth Budget Delivery in Online Advertising

Materials Cartography: Representing and Mining Material Space Using Structural and Electronic Fingerprints

Robust flow control and optimal sensor placement using deep reinforcement learning

What, Where and How to Transfer in SAR Target Recognition Based on Deep CNNs

Designing the Future of User Feedback for Generative AI

Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control

Image Fidelity is Not Field Fidelity: Joint Thermodynamic Reconstruction and Error Localization in Neural Tomography

WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation

PianoKontext: Expressive Performance Rendering from Deadpan Context

On Empirical Comparisons of Optimizers for Deep Learning

Dense 3D Object Reconstruction from a Single Depth View

Stabilized Cat in Driven Nonlinear Cavity: A Fault-Tolerant Error Syndrome Detector

Practical Deep Raw Image Denoising on Mobile Devices

Optimal Uncertainty Quantification

Self-conditioned Flow Map Language Models via Fixed-point Flows

AgentLongBench: A Controllable Long Benchmark For Long-Contexts Agents via Environment Rollouts

Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

DynaFLIP: Rethinking Robotics Perception via Tri-Modal-Dynamics Guided Representation

Augur: a decentralized oracle and prediction market platform

On the Number of Linear Regions of Deep Neural Networks

From 2D system to 1D system via restriction to a vertical strip: applications to time-controllability and zero-time-controllability