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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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32,041 to 32,100 of 61,230

Graph-based compression of dynamic 3D point cloud sequences
Dorina Thanou, Philip A. Chou, Pascal Frossard
cs.CVcs.GRarXiv:1506.06096v12015
An Agentic Retrobiosynthesis Framework with Learned Frontier Selection
Philippe Meyer, Guillaume Gricourt, Thomas Duigou +2
cs.CLcs.AIcs.LGarXiv:2608.30702v12026
Approximation and inference methods for stochastic biochemical kinetics - a tutorial review
David Schnoerr, Guido Sanguinetti, Ramon Grima
q-bio.QMcond-mat.stat-mechphysics.bio-pharXiv:1608.06582v22016
LCoT-GV: Graph Attention Networks for Verifying Long Reasoning Chains in Large Language Models
Bérénice Jaulmes, Mehwish Alam
cs.CLcs.AIarXiv:2608.30679v12026
Large Language Model-Based Agents for Software Engineering: A Survey
Junwei Liu, Kaixin Wang, Yixuan Chen +4
cs.SEcs.AIarXiv:2409.02977v22024
How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis
Maria J. M. Chuquicusma, Sarfaraz Hussein, Jeremy Burt +1
cs.CVcs.AIcs.LGarXiv:1710.09762v22017
OCR-MetaReasoning Benchmark: Evaluating the Meta-Reasoning Ability of MLLMs in Text-Rich Image Understanding
Gengxu Li, Yuan Wu, Yi Chang
cs.CLarXiv:2608.30678v12026
Anderson localization casts clouds over adiabatic quantum optimization
Boris Altshuler, Hari Krovi, Jeremie Roland
quant-phcond-mat.mes-hallcs.CCarXiv:0912.0746v12009
Equivalence of restricted Boltzmann machines and tensor network states
Jing Chen, Song Cheng, Haidong Xie +2
cond-mat.str-elquant-phstat.MLarXiv:1701.04831v22017
Type-Constrained Representation Learning in Knowledge Graphs
Denis Krompaß, Stephan Baier, Volker Tresp
cs.AIcs.LGarXiv:1508.02593v22015
NeVAE: A Deep Generative Model for Molecular Graphs
Bidisha Samanta, Abir De, Gourhari Jana +3
cs.LGphysics.soc-phstat.MLarXiv:1802.05283v42018
MURANO: Design, Run, and Reproduce Mechanistic Interpretability Experiments as Composable Pipelines
Alireza Bayat Makou, Emirhan Böge, Phu Gia Hoang +5
cs.CLarXiv:2608.30662v12026
Trends in Workplace Wearable Technologies and Connected-Worker Solutions for Next-Generation Occupational Safety, Health, and Productivity
Vishal Patel, Austin Chesmore, Christopher M. Legner +1
eess.SYeess.SParXiv:2205.11740v12022
Extreme Compression of Large Language Models via Additive Quantization
Vage Egiazarian, Andrei Panferov, Denis Kuznedelev +3
cs.LGcs.CLarXiv:2401.06118v42024
Languages cool as they expand: Allometric scaling and the decreasing need for new words
Alexander M. Petersen, Joel N. Tenenbaum, Shlomo Havlin +2
physics.soc-phcond-mat.stat-mechcs.CLarXiv:1212.2616v12012
SwarmBench: Can Large Language Models Act as Agent Swarm Orchestrators?
Jinshan Gao, Zhuoran Jin, Tianyi Men +2
cs.CLarXiv:2608.30661v12026
Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control
Zhongyu Li, Xue Bin Peng, Pieter Abbeel +3
cs.ROcs.AIeess.SYarXiv:2401.16889v22024
Shape-IoU: More Accurate Metric considering Bounding Box Shape and Scale
Hao Zhang, Shuaijie Zhang
cs.CVarXiv:2312.17663v22023
Benchmarking Deep Learning Interpretability in Time Series Predictions
Aya Abdelsalam Ismail, Mohamed Gunady, Héctor Corrada Bravo +1
cs.LGstat.MLarXiv:2010.13924v12020
BiG-SURE - Bipartite Graph for Semantic Uncertainty and Reliability Estimation of LLMs
Debarpan Bhattacharya, Malay Phadke, Sriram Ganapathy
cs.CLcs.AIcs.LGarXiv:2608.30646v12026
What It Costs to Compose, Rebuild, and Correct Precomputed Memory
Asa Shepard
cs.CLcs.LGarXiv:2608.30647v12026
Convergence Rate Analysis of Distributed Gossip (Linear Parameter) Estimation: Fundamental Limits and Tradeoffs
Soummya Kar, Jose' M. F. Moura
cs.ITmath.OCmath.PRarXiv:1011.1677v12010
FakeCovid -- A Multilingual Cross-domain Fact Check News Dataset for COVID-19
Gautam Kishore Shahi, Durgesh Nandini
cs.CYcs.SIarXiv:2006.11343v12020
Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks
Yading Yuan, Yeh-Chi Lo
cs.CVarXiv:1709.09780v12017
GMTS: Gradient Magnitude-based Token Selection Improves RLVR Training for LLM Reasoning
Outongyi Lv, Yuanwei Zhang, Xiaoqun Zhang
cs.CLcs.AIcs.LGarXiv:2608.30632v12026
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection
Hedi Ben-younes, Rémi Cadene, Nicolas Thome +1
cs.CVarXiv:1902.00038v22019
Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving
Xiaosong Jia, Penghao Wu, Li Chen +4
cs.CVarXiv:2305.06242v12023
Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach
Aniruddh Raghu, Matthieu Komorowski, Leo Anthony Celi +2
cs.LGarXiv:1705.08422v12017
Code Smells and Refactoring: A Tertiary Systematic Review of Challenges and Observations
Guilherme Lacerda, Fabio Petrillo, Marcelo Pimenta +1
cs.SEarXiv:2004.10777v12020
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting
Xu Liu, Junfeng Hu, Yuan Li +4
cs.LGarXiv:2310.09751v32023
Pushing the Boundaries of Boundary Detection using Deep Learning
Iasonas Kokkinos
cs.CVcs.LGarXiv:1511.07386v22015
A Machine-Learning Approach for Earthquake Magnitude Estimation
S. Mostafa Mousavi, Gregory C. Beroza
physics.geo-phcs.AIcs.LGarXiv:1911.05975v12019
RIDI: Robust IMU Double Integration
Hang Yan, Qi Shan, Yasutaka Furukawa
cs.CVarXiv:1712.09004v22017
ACTION-Net: Multipath Excitation for Action Recognition
Zhengwei Wang, Qi She, Aljosa Smolic
cs.CVarXiv:2103.07372v12021
Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-Training
Lukas Borggren, Jenny Kunz, Marco Kuhlmann
cs.CLcs.AIcs.LGarXiv:2608.30609v12026
Scaling Robot Learning with Semantically Imagined Experience
Tianhe Yu, Ted Xiao, Austin Stone +10
cs.ROcs.AIcs.CLarXiv:2302.11550v12023
DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model
Yinghao Xu, Hao Tan, Fujun Luan +8
cs.CVarXiv:2311.09217v12023
Where Identity Lives: Localized, Retain-Free Identity Unlearning in Multimodal Large Language Models
Kangwook Ko, Jaehyuk Jang, Wonjun Lee +2
cs.CLcs.CVarXiv:2608.30649v12026
Foundational Challenges in Assuring Alignment and Safety of Large Language Models
Usman Anwar, Abulhair Saparov, Javier Rando +39
cs.LGcs.AIcs.CLarXiv:2404.09932v22024
An Overview of 5G Advanced Evolution in 3GPP Release 18
Xingqin Lin
cs.NIarXiv:2201.01358v12022
War and Peace: The Peculiarities of Ukrainian-Russian Scientific Cooperation Dynamics Against the Background of Russian Military Aggression in Ukraine, in 2014-2016
Serhii Nazarovets
cs.DLarXiv:1711.05251v12017
Quantum algorithm and circuit design solving the Poisson equation
Yudong Cao, Anargyros Papageorgiou, Iasonas Petras +2
quant-pharXiv:1207.2485v32012
Percolation on sparse networks
Brian Karrer, M. E. J. Newman, Lenka Zdeborová
cond-mat.stat-mechcs.SIphysics.soc-pharXiv:1405.0483v22014
ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental Platforms
Michele Polese, Leonardo Bonati, Salvatore D'Oro +2
cs.NIcs.LGarXiv:2112.09559v22021
Predicting Visual Features from Text for Image and Video Caption Retrieval
Jianfeng Dong, Xirong Li, Cees G. M. Snoek
cs.CVarXiv:1709.01362v32017
GFF: Gated Fully Fusion for Semantic Segmentation
Xiangtai Li, Houlong Zhao, Lei Han +2
cs.CVarXiv:1904.01803v22019
Characterizing the community structure of complex networks
Andrea Lancichinetti, Mikko Kivela, Jari Saramaki +1
physics.soc-phcs.IRarXiv:1005.4376v12010
Batch Informed Trees (BIT*): Informed Asymptotically Optimal Anytime Search
Jonathan D. Gammell, Timothy D. Barfoot, Siddhartha S. Srinivasa
cs.ROarXiv:1707.01888v42017
Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning
Spyros Gidaris, Nikos Komodakis
cs.CVcs.LGarXiv:1905.01102v12019
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models
Ning Ding, Yujia Qin, Guang Yang +17
cs.CLcs.AIcs.LGarXiv:2203.06904v22022
A Primer on PAC-Bayesian Learning
Benjamin Guedj
stat.MLcs.LGarXiv:1901.05353v32019
Continual Pre-training of Language Models
Zixuan Ke, Yijia Shao, Haowei Lin +3
cs.CLcs.AIcs.LGarXiv:2302.03241v42023
Downlink Capacity and Base Station Density in Cellular Networks
Seung Min Yu, Seong-Lyun Kim
cs.NIarXiv:1109.2992v42011
Neural Image Compression for Gigapixel Histopathology Image Analysis
David Tellez, Geert Litjens, Jeroen van der Laak +1
cs.CVeess.IVarXiv:1811.02840v22018
REER-PT: Reverse-Engineered Reasoning for Perplexity-Guided Pre-training Data Augmentation
Haoran Que, Jiajun Shi, Ting Huang +7
cs.CLarXiv:2608.30627v12026
Uncertainty Quantification and Deep Ensembles
Rahul Rahaman, Alexandre H. Thiery
stat.MLcs.LGarXiv:2007.08792v42020
Hidden Threat in Synthetic Data: Covert Targeted Bias Injection through Benign Text
Minkyung Cho, Jihyo Kim, SeungWoo Song +4
cs.CLcs.AIarXiv:2608.30619v12026
Stratified Transfer Learning for Cross-domain Activity Recognition
Jindong Wang, Yiqiang Chen, Lisha Hu +2
cs.CVcs.LGarXiv:1801.00820v12017
Testing Deep Neural Networks
Youcheng Sun, Xiaowei Huang, Daniel Kroening +3
cs.LGcs.CVcs.SEarXiv:1803.04792v42018
Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification
Ruijie Quan, Xuanyi Dong, Yu Wu +2
cs.CVarXiv:1903.09776v42019

Every paper with a summary

Graph-based compression of dynamic 3D point cloud sequences

An Agentic Retrobiosynthesis Framework with Learned Frontier Selection

Approximation and inference methods for stochastic biochemical kinetics - a tutorial review

LCoT-GV: Graph Attention Networks for Verifying Long Reasoning Chains in Large Language Models

Large Language Model-Based Agents for Software Engineering: A Survey

How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis

OCR-MetaReasoning Benchmark: Evaluating the Meta-Reasoning Ability of MLLMs in Text-Rich Image Understanding

Anderson localization casts clouds over adiabatic quantum optimization

Equivalence of restricted Boltzmann machines and tensor network states

Type-Constrained Representation Learning in Knowledge Graphs

NeVAE: A Deep Generative Model for Molecular Graphs

MURANO: Design, Run, and Reproduce Mechanistic Interpretability Experiments as Composable Pipelines

Trends in Workplace Wearable Technologies and Connected-Worker Solutions for Next-Generation Occupational Safety, Health, and Productivity

Extreme Compression of Large Language Models via Additive Quantization

Languages cool as they expand: Allometric scaling and the decreasing need for new words

SwarmBench: Can Large Language Models Act as Agent Swarm Orchestrators?

Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control

Shape-IoU: More Accurate Metric considering Bounding Box Shape and Scale

Benchmarking Deep Learning Interpretability in Time Series Predictions

BiG-SURE - Bipartite Graph for Semantic Uncertainty and Reliability Estimation of LLMs

What It Costs to Compose, Rebuild, and Correct Precomputed Memory

Convergence Rate Analysis of Distributed Gossip (Linear Parameter) Estimation: Fundamental Limits and Tradeoffs

FakeCovid -- A Multilingual Cross-domain Fact Check News Dataset for COVID-19

Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks

GMTS: Gradient Magnitude-based Token Selection Improves RLVR Training for LLM Reasoning

BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection

Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving

Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach

Code Smells and Refactoring: A Tertiary Systematic Review of Challenges and Observations

UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting

Pushing the Boundaries of Boundary Detection using Deep Learning

A Machine-Learning Approach for Earthquake Magnitude Estimation

RIDI: Robust IMU Double Integration

ACTION-Net: Multipath Excitation for Action Recognition

Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-Training

Scaling Robot Learning with Semantically Imagined Experience

DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model

Where Identity Lives: Localized, Retain-Free Identity Unlearning in Multimodal Large Language Models

Foundational Challenges in Assuring Alignment and Safety of Large Language Models

An Overview of 5G Advanced Evolution in 3GPP Release 18

War and Peace: The Peculiarities of Ukrainian-Russian Scientific Cooperation Dynamics Against the Background of Russian Military Aggression in Ukraine, in 2014-2016

Quantum algorithm and circuit design solving the Poisson equation

Percolation on sparse networks

ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental Platforms

Predicting Visual Features from Text for Image and Video Caption Retrieval

GFF: Gated Fully Fusion for Semantic Segmentation

Characterizing the community structure of complex networks

Batch Informed Trees (BIT*): Informed Asymptotically Optimal Anytime Search

Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models

A Primer on PAC-Bayesian Learning

Continual Pre-training of Language Models

Downlink Capacity and Base Station Density in Cellular Networks

Neural Image Compression for Gigapixel Histopathology Image Analysis

REER-PT: Reverse-Engineered Reasoning for Perplexity-Guided Pre-training Data Augmentation

Uncertainty Quantification and Deep Ensembles

Hidden Threat in Synthetic Data: Covert Targeted Bias Injection through Benign Text

Stratified Transfer Learning for Cross-domain Activity Recognition

Testing Deep Neural Networks

Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification