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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57,241 to 57,300 of 61,299

MemTrain: Self-Supervised Context Memory Training
Ziheng Li, Xingrun Xing, Haoqing Wang +2
cs.CLarXiv:2606.03197v12026
OVO-S-Bench: A Hierarchical Benchmark for Streaming Spatial Intelligence in Multimodal LLMs
Yifei Li, Pengyiang Liu, Yuhang Zang +4
cs.CVarXiv:2606.03890v12026
Sequence Transduction with Recurrent Neural Networks
Alex Graves
cs.NEcs.LGstat.MLarXiv:1211.3711v12012
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid, Mikayel Samvelyan, Christian Schroeder de Witt +3
cs.LGcs.MAstat.MLarXiv:1803.11485v22018
Qwen-Image-Flash: Beyond Objective Design
Tianhe Wu, Kun Yan, Zikai Zhou +21
cs.CVcs.AIcs.GRarXiv:2606.03746v22026
SEAOTTER: Sensor Embedded Autoencoding with One-Time Transcode for Efficient Reconstruction
Dan Jacobellis, Neeraja J. Yadwadkar
eess.IVcs.CVcs.LGarXiv:2606.03940v12026
Memory Aware Synapses: Learning what (not) to forget
Rahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny +2
cs.CVcs.AIstat.MLarXiv:1711.09601v42017
The Shadow Price of Reasoning: Economic Perspective on Optimal Budget Allocation for LLMs
Xu Wan, Speed Zhu, Jianwei Cai +4
cs.AIarXiv:2606.03092v22026
Hypergraph Neural Networks
Yifan Feng, Haoxuan You, Zizhao Zhang +2
cs.LGstat.MLarXiv:1809.09401v32018
End-to-end Optimized Image Compression
Johannes Ballé, Valero Laparra, Eero P. Simoncelli
cs.CVcs.ITarXiv:1611.01704v32016
Power-Domain Non-Orthogonal Multiple Access (NOMA) in 5G Systems: Potentials and Challenges
S. M. Riazul Islam, Nurilla Avazov, Octavia A. Dobre +1
cs.ITcs.NIarXiv:1609.06261v12016
Self-critical Sequence Training for Image Captioning
Steven J. Rennie, Etienne Marcheret, Youssef Mroueh +2
cs.LGcs.AIcs.CVarXiv:1612.00563v22016
Text-to-Image Models Need Less from Text Encoders Than You Think
Nurit Spingarn, Noa Cohen, Tamar Rott Shaham +1
cs.CVarXiv:2606.03715v12026
STRIDE: Training Data Attribution via Sparse Recovery from Subset Perturbations
Rishit Dagli, Abir Harrasse, Luke Zhang +4
cs.LGcs.CLarXiv:2606.05165v12026
Understanding predictive information criteria for Bayesian models
Andrew Gelman, Jessica Hwang, Aki Vehtari
stat.MEarXiv:1307.5928v12013
Steady-Forcing: Balancing Spatial Persistence and Motion Continuity in Long-Horizon Nature Video Diffusion
Matiur Rahman Minar, Seunghun Oh, GangHyeon Jeong +1
cs.CVcs.AIcs.LGarXiv:2606.14732v12026
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Tim Salimans, Diederik P. Kingma
cs.LGcs.AIcs.NEarXiv:1602.07868v32016
Temporal Convolutional Networks for Action Segmentation and Detection
Colin Lea, Michael D. Flynn, Rene Vidal +2
cs.CVarXiv:1611.05267v12016
WebRISE: Requirement-Induced State Evaluation for MLLM-Generated Web Artifacts
Yuxin Meng, Yuhan Suo, Junjie Wang +9
cs.CLcs.AIarXiv:2606.03220v12026
SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation
Daniel Cer, Mona Diab, Eneko Agirre +2
cs.CLarXiv:1708.00055v12017
YOLACT: Real-time Instance Segmentation
Daniel Bolya, Chong Zhou, Fanyi Xiao +1
cs.CVarXiv:1904.02689v22019
ZipSplat: Fewer Gaussians, Better Splats
Alexander Veicht, Sunghwan Hong, Dániel Baráth +1
cs.CVarXiv:2606.05102v22026
M$^3$Eval: Multi-Modal Memory Evaluation through Cognitively-Grounded Video Tasks
Jie Huang, Ruixun Liu, Sirui Sun +4
cs.CVcs.AIcs.CLarXiv:2606.05008v12026
Voyager: An Open-Ended Embodied Agent with Large Language Models
Guanzhi Wang, Yuqi Xie, Yunfan Jiang +5
cs.AIcs.LGarXiv:2305.16291v22023
RobotValues: Evaluating Household Robots When Human Values Conflict
Jongwook Han, Hyeongjin Kim, Yohan Jo
cs.ROcs.AIarXiv:2606.03312v12026
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Johannes Gasteiger, Aleksandar Bojchevski, Stephan Günnemann
cs.LGstat.MLarXiv:1810.05997v62018
Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto, David Meger, Doina Precup
cs.LGcs.AIstat.MLarXiv:1812.02900v32018
Lean4Agent: Formal Modeling and Verification for Agent Workflow and Trajectory
Ruida Wang, Jerry Huang, Pengcheng Wang +3
cs.AIcs.LGcs.LOarXiv:2606.06523v22026
Modeling Tabular data using Conditional GAN
Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante +1
cs.LGstat.MLarXiv:1907.00503v22019
Reconciling modern machine learning practice and the bias-variance trade-off
Mikhail Belkin, Daniel Hsu, Siyuan Ma +1
stat.MLcs.LGarXiv:1812.11118v22018
Make-A-Video: Text-to-Video Generation without Text-Video Data
Uriel Singer, Adam Polyak, Thomas Hayes +10
cs.CVcs.AIcs.LGarXiv:2209.14792v12022
Bidirectional Attention Flow for Machine Comprehension
Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi +1
cs.CLarXiv:1611.01603v62016
MOT16: A Benchmark for Multi-Object Tracking
Anton Milan, Laura Leal-Taixe, Ian Reid +2
cs.CVarXiv:1603.00831v22016
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
Sewon Min, Xinxi Lyu, Ari Holtzman +4
cs.CLcs.AIarXiv:2202.12837v22022
Smaller Models are Natural Explorers for Policy-Level Diversity in GRPO
Yiran Xu, Yiming Ren, Zicheng Lin +8
cs.LGcs.AIarXiv:2605.30789v32026
TSM: Temporal Shift Module for Efficient Video Understanding
Ji Lin, Chuang Gan, Song Han
cs.CVarXiv:1811.08383v32018
Small RL Controller, Large Language Model: RL-Guided Adaptive Sampling for Test-Time Scaling
Runpeng Dai, Tong Zheng, Rui Liu +2
cs.CLarXiv:2606.03102v12026
The ATLAS Simulation Infrastructure
The ATLAS Collaboration
physics.ins-dethep-exarXiv:1005.4568v12010
Hierarchical structure and the prediction of missing links in networks
Aaron Clauset, Cristopher Moore, M. E. J. Newman
stat.MLphysics.soc-phq-bio.MNarXiv:0811.0484v12008
World Models Meet Language Models: On the Complementarity of Concrete and Abstract Reasoning
Yucheng Zhou, Wei Tao, Yiwen Guo +1
cs.CVcs.CLarXiv:2606.03603v12026
GLU Variants Improve Transformer
Noam Shazeer
cs.LGcs.NEstat.MLarXiv:2002.05202v12020
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Andrew M. Saxe, James L. McClelland, Surya Ganguli
cs.NEcond-mat.dis-nncs.CVarXiv:1312.6120v32013
Multilingual Denoising Pre-training for Neural Machine Translation
Yinhan Liu, Jiatao Gu, Naman Goyal +5
cs.CLarXiv:2001.08210v22020
KletterMix: Climbing Toward High-Quality German Pretraining Data - The Full Report
Maurice Kraus, Ruben Härle, Sebastian Sztwiertnia +5
cs.CLarXiv:2606.03773v22026
Stateful Visual Encoders for Vision-Language Models
Zirui Wang, Junwei Yu, Adam Yala +3
cs.CVcs.CLcs.LGarXiv:2606.04433v12026
Probing Outcome-Level Resemblance and Mechanism-Level Alignment in LLM Risk Decisions: Evidence from the St. Petersburg Game
Chensong Huang, Changyu Chen, Chenwei Lin +3
cs.CLcs.CYecon.GNarXiv:2606.04978v12026
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Peng Qi, Yuhao Zhang, Yuhui Zhang +2
cs.CLarXiv:2003.07082v22020
Gate-Variants of Gated Recurrent Unit (GRU) Neural Networks
Rahul Dey, Fathi M. Salem
cs.NEstat.MLarXiv:1701.05923v12017
Adversarial Examples Are Not Bugs, They Are Features
Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras +3
stat.MLcs.CRcs.CVarXiv:1905.02175v42019
MapAgent: An Industrial-Grade Agentic Framework for City-scale Lane-level Map Generation
Deguo Xia, Zihan Li, Haochen Zhao +6
cs.AIarXiv:2606.04513v22026
DAR: Deontic Reasoning with Agentic Harnesses
Guangyao Dou, William Jurayj, Nils Holzenberger +1
cs.CLcs.AIarXiv:2606.05009v12026
Representation Learning on Graphs: Methods and Applications
William L. Hamilton, Rex Ying, Jure Leskovec
cs.SIcs.LGarXiv:1709.05584v32017
Federated Multi-Task Learning
Virginia Smith, Chao-Kai Chiang, Maziar Sanjabi +1
cs.LGstat.MLarXiv:1705.10467v22017
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Zhan Tong, Yibing Song, Jue Wang +1
cs.CVarXiv:2203.12602v32022
Streaming Communication in Multi-Agent Reasoning
Zhen Yang, Xiaogang Xu, Wen Wang +3
cs.CLcs.AIcs.MAarXiv:2606.05158v22026
Audio Interaction Model
Zhifei Xie, Zihang Liu, Ze An +8
cs.SDcs.AIcs.CLarXiv:2606.05121v12026
Measuring Model Robustness via Fisher Information: Spectral Bounds, Theoretical Guarantees, and Practical Algorithms
Chong Zhang, Xiang Li, Jia Wang +2
cs.LGcs.CVarXiv:2606.04767v12026
BRepCLIP: Contrastive Multimodal Pretraining on BRep Primitives for CAD Understanding
Muhammad Usama, Didier Stricker, Mohammad Sadil Khan +1
cs.CVarXiv:2606.05515v12026
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
Shifeng Zhang, Cheng Chi, Yongqiang Yao +2
cs.CVarXiv:1912.02424v42019
TIDE: Proactive Multi-Problem Discovery via Template-Guided Iteration
Soyeong Jeong, Jinheon Baek, Minki Kang +1
cs.CLcs.AIcs.LGarXiv:2606.04743v22026

Every paper with a summary

MemTrain: Self-Supervised Context Memory Training

OVO-S-Bench: A Hierarchical Benchmark for Streaming Spatial Intelligence in Multimodal LLMs

Sequence Transduction with Recurrent Neural Networks

QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

Qwen-Image-Flash: Beyond Objective Design

SEAOTTER: Sensor Embedded Autoencoding with One-Time Transcode for Efficient Reconstruction

Memory Aware Synapses: Learning what (not) to forget

The Shadow Price of Reasoning: Economic Perspective on Optimal Budget Allocation for LLMs

Hypergraph Neural Networks

End-to-end Optimized Image Compression

Power-Domain Non-Orthogonal Multiple Access (NOMA) in 5G Systems: Potentials and Challenges

Self-critical Sequence Training for Image Captioning

Text-to-Image Models Need Less from Text Encoders Than You Think

STRIDE: Training Data Attribution via Sparse Recovery from Subset Perturbations

Understanding predictive information criteria for Bayesian models

Steady-Forcing: Balancing Spatial Persistence and Motion Continuity in Long-Horizon Nature Video Diffusion

Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks

Temporal Convolutional Networks for Action Segmentation and Detection

WebRISE: Requirement-Induced State Evaluation for MLLM-Generated Web Artifacts

SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation

YOLACT: Real-time Instance Segmentation

ZipSplat: Fewer Gaussians, Better Splats

M$^3$Eval: Multi-Modal Memory Evaluation through Cognitively-Grounded Video Tasks

Voyager: An Open-Ended Embodied Agent with Large Language Models

RobotValues: Evaluating Household Robots When Human Values Conflict

Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Off-Policy Deep Reinforcement Learning without Exploration

Lean4Agent: Formal Modeling and Verification for Agent Workflow and Trajectory

Modeling Tabular data using Conditional GAN

Reconciling modern machine learning practice and the bias-variance trade-off

Make-A-Video: Text-to-Video Generation without Text-Video Data

Bidirectional Attention Flow for Machine Comprehension

MOT16: A Benchmark for Multi-Object Tracking

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

Smaller Models are Natural Explorers for Policy-Level Diversity in GRPO

TSM: Temporal Shift Module for Efficient Video Understanding

Small RL Controller, Large Language Model: RL-Guided Adaptive Sampling for Test-Time Scaling

The ATLAS Simulation Infrastructure

Hierarchical structure and the prediction of missing links in networks

World Models Meet Language Models: On the Complementarity of Concrete and Abstract Reasoning

GLU Variants Improve Transformer

Exact solutions to the nonlinear dynamics of learning in deep linear neural networks

Multilingual Denoising Pre-training for Neural Machine Translation

KletterMix: Climbing Toward High-Quality German Pretraining Data - The Full Report

Stateful Visual Encoders for Vision-Language Models

Probing Outcome-Level Resemblance and Mechanism-Level Alignment in LLM Risk Decisions: Evidence from the St. Petersburg Game

Stanza: A Python Natural Language Processing Toolkit for Many Human Languages

Gate-Variants of Gated Recurrent Unit (GRU) Neural Networks

Adversarial Examples Are Not Bugs, They Are Features

MapAgent: An Industrial-Grade Agentic Framework for City-scale Lane-level Map Generation

DAR: Deontic Reasoning with Agentic Harnesses

Representation Learning on Graphs: Methods and Applications

Federated Multi-Task Learning

VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

Streaming Communication in Multi-Agent Reasoning

Audio Interaction Model

Measuring Model Robustness via Fisher Information: Spectral Bounds, Theoretical Guarantees, and Practical Algorithms

BRepCLIP: Contrastive Multimodal Pretraining on BRep Primitives for CAD Understanding

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection

TIDE: Proactive Multi-Problem Discovery via Template-Guided Iteration