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.

Search paper metadata (including unsummarized papers)

53,161 to 53,220 of 61,335

Analysing high-throughput sequencing data in Python with HTSeq 2.0
Givanna H Putri, Simon Anders, Paul Theodor Pyl +2
q-bio.GNq-bio.QMarXiv:2112.00939v12021
Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing
En Li, Liekang Zeng, Zhi Zhou +1
cs.NIcs.CVcs.DCarXiv:1910.05316v12019
FinMCP-Bench: Benchmarking LLM Agents for Real-World Financial Tool Use under the Model Context Protocol
Jie Zhu, Yimin Tian, Boyang Li +8
cs.AIcs.CLarXiv:2603.24943v12026
A Systematic Evaluation of Large Language Models of Code
Frank F. Xu, Uri Alon, Graham Neubig +1
cs.PLcs.CLarXiv:2202.13169v32022
Machine Learning Testing: Survey, Landscapes and Horizons
Jie M. Zhang, Mark Harman, Lei Ma +1
cs.LGcs.AIcs.SEarXiv:1906.10742v22019
Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection
Max A Little, Patrick E McSharry, Stephen J Roberts +2
nlin.CGnlin.CDarXiv:0707.0086v12007
Overcoming Exploration in Reinforcement Learning with Demonstrations
Ashvin Nair, Bob McGrew, Marcin Andrychowicz +2
cs.LGcs.AIcs.NEarXiv:1709.10089v22017
CADEvolve: Creating Realistic CAD via Program Evolution
Maksim Elistratov, Marina Barannikov, Gregory Ivanov +4
cs.GRarXiv:2602.16317v12026
GetDist: a Python package for analysing Monte Carlo samples
Antony Lewis
astro-ph.IMastro-ph.COphysics.data-anarXiv:1910.13970v22019
ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch
Zheng Liu, Honglin Lin, Chonghan Qin +13
cs.CVarXiv:2601.13606v22026
Community Detection in Networks with Node Attributes
Jaewon Yang, Julian McAuley, Jure Leskovec
cs.SIphysics.soc-pharXiv:1401.7267v12014
TIES-Merging: Resolving Interference When Merging Models
Prateek Yadav, Derek Tam, Leshem Choshen +2
cs.LGcs.AIcs.CLarXiv:2306.01708v22023
Joint Detection and Identification Feature Learning for Person Search
Tong Xiao, Shuang Li, Bochao Wang +2
cs.CVarXiv:1604.01850v32016
CCTU: A Benchmark for Tool Use under Complex Constraints
Junjie Ye, Guoqiang Zhang, Wenjie Fu +3
cs.CLcs.AIarXiv:2603.15309v12026
SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models
Haoying Li, Yifan Yang, Meng Chang +4
cs.CVarXiv:2104.14951v22021
Arcee Trinity Large Technical Report
Varun Singh, Lucas Krauss, Sami Jaghouar +23
cs.LGcs.CLarXiv:2602.17004v12026
SAMTok: Representing Any Mask with Two Words
Yikang Zhou, Tao Zhang, Dengxian Gong +13
cs.CVarXiv:2601.16093v22026
Explaining NonLinear Classification Decisions with Deep Taylor Decomposition
Grégoire Montavon, Sebastian Bach, Alexander Binder +2
cs.LGstat.MLarXiv:1512.02479v12015
LIBERO-Para: A Diagnostic Benchmark and Metrics for Paraphrase Robustness in VLA Models
Chanyoung Kim, Minwoo Kim, Minseok Kang +2
cs.LGarXiv:2603.28301v12026
Asymmetric Loss For Multi-Label Classification
Emanuel Ben-Baruch, Tal Ridnik, Nadav Zamir +4
cs.CVcs.LGarXiv:2009.14119v42020
Deep Audio-Visual Speech Recognition
Triantafyllos Afouras, Joon Son Chung, Andrew Senior +2
cs.CVarXiv:1809.02108v22018
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning
Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi +8
cs.LGcs.CVarXiv:2204.04799v22022
Demystifying Video Reasoning
Ruisi Wang, Zhongang Cai, Fanyi Pu +11
cs.CVcs.AIarXiv:2603.16870v32026
Gated Feedback Recurrent Neural Networks
Junyoung Chung, Caglar Gulcehre, Kyunghyun Cho +1
cs.NEcs.LGstat.MLarXiv:1502.02367v42015
Towards Automated Kernel Generation in the Era of LLMs
Yang Yu, Peiyu Zang, Chi Hsu Tsai +11
cs.LGcs.CLarXiv:2601.15727v32026
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
Sachin Mehta, Mohammad Rastegari, Anat Caspi +2
cs.CVarXiv:1803.06815v32018
Semantic Autoencoder for Zero-Shot Learning
Elyor Kodirov, Tao Xiang, Shaogang Gong
cs.CVarXiv:1704.08345v12017
Video Models Reason Early: Exploiting Plan Commitment for Maze Solving
Kaleb Newman, Tyler Zhu, Olga Russakovsky
cs.CVarXiv:2603.30043v12026
Autoregressive Image Generation using Residual Quantization
Doyup Lee, Chiheon Kim, Saehoon Kim +2
cs.CVcs.LGarXiv:2203.01941v22022
PhyRPR: Training-Free Physics-Constrained Video Generation
Yibo Zhao, Hengjia Li, Xiaofei He +1
cs.CVarXiv:2601.09255v12026
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation
Yazan Abu Farha, Juergen Gall
cs.CVarXiv:1903.01945v22019
Detection and Resolution of Rumours in Social Media: A Survey
Arkaitz Zubiaga, Ahmet Aker, Kalina Bontcheva +2
cs.CLcs.HCcs.IRarXiv:1704.00656v32017
EvolVE: Evolutionary Search for LLM-based Verilog Generation and Optimization
Wei-Po Hsin, Ren-Hao Deng, Yao-Ting Hsieh +2
cs.AIcs.NEcs.PLarXiv:2601.18067v12026
LumosX: Relate Any Identities with Their Attributes for Personalized Video Generation
Jiazheng Xing, Fei Du, Hangjie Yuan +7
cs.CVcs.AIarXiv:2603.20192v12026
Quantum algorithms for supervised and unsupervised machine learning
Seth Lloyd, Masoud Mohseni, Patrick Rebentrost
quant-pharXiv:1307.0411v22013
BARF: Bundle-Adjusting Neural Radiance Fields
Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba +1
cs.CVcs.GRcs.LGarXiv:2104.06405v22021
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation
Gwanghyun Kim, Taesung Kwon, Jong Chul Ye
cs.CVcs.AIcs.LGarXiv:2110.02711v62021
Sparsified SGD with Memory
Sebastian U. Stich, Jean-Baptiste Cordonnier, Martin Jaggi
cs.LGcs.DCcs.DSarXiv:1809.07599v22018
Bayesian Online Changepoint Detection
Ryan Prescott Adams, David J. C. MacKay
stat.MLarXiv:0710.3742v12007
Variational Dropout Sparsifies Deep Neural Networks
Dmitry Molchanov, Arsenii Ashukha, Dmitry Vetrov
stat.MLcs.LGarXiv:1701.05369v32017
Multicomponent multisublattice alloys, nonconfigurational entropy and other additions to the Alloy Theoretic Automated Toolkit
Axel van de Walle
cond-mat.mtrl-scicond-mat.stat-mecharXiv:0906.1608v22009
FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs
Qian Chen, Jinlan Fu, Changsong Li +3
cs.CLcs.CVcs.MMarXiv:2601.13836v22026
Agentic AI and the next intelligence explosion
James Evans, Benjamin Bratton, Blaise Agüera y Arcas
cs.AIarXiv:2603.20639v12026
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
Melanie Sclar, Yejin Choi, Yulia Tsvetkov +1
cs.CLcs.AIcs.LGarXiv:2310.11324v22023
How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection
Biyang Guo, Xin Zhang, Ziyuan Wang +5
cs.CLarXiv:2301.07597v12023
Secure Wireless Communication via Intelligent Reflecting Surface
Miao Cui, Guangchi Zhang, Rui Zhang
cs.ITarXiv:1905.10770v12019
One-Shot Learning for Semantic Segmentation
Amirreza Shaban, Shray Bansal, Zhen Liu +2
cs.CVarXiv:1709.03410v12017
RAISE: Requirement-Adaptive Evolutionary Refinement for Training-Free Text-to-Image Alignment
Liyao Jiang, Ruichen Chen, Chao Gao +1
cs.CVcs.AIarXiv:2603.00483v12026
Manifold-Aware Exploration for Reinforcement Learning in Video Generation
Mingzhe Zheng, Weijie Kong, Yue Wu +9
cs.CVcs.AIarXiv:2603.21872v12026
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
Veronika Cheplygina, Marleen de Bruijne, Josien P. W. Pluim
cs.CVarXiv:1804.06353v22018
Physics-Informed Neural Operator for Learning Partial Differential Equations
Zongyi Li, Hongkai Zheng, Nikola Kovachki +5
cs.LGmath.NAarXiv:2111.03794v42021
Reward-free Alignment for Conflicting Objectives
Peter Chen, Xiaopeng Li, Xi Chen +1
cs.CLcs.AIcs.LGarXiv:2602.02495v32026
PersonaVLM: Long-Term Personalized Multimodal LLMs
Chang Nie, Chaoyou Fu, Yifan Zhang +2
cs.CLcs.CVarXiv:2604.13074v12026
MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms
Aida Amini, Saadia Gabriel, Peter Lin +3
cs.CLarXiv:1905.13319v12019
ERNIE 2.0: A Continual Pre-training Framework for Language Understanding
Yu Sun, Shuohuan Wang, Yukun Li +4
cs.CLarXiv:1907.12412v22019
TuckER: Tensor Factorization for Knowledge Graph Completion
Ivana Balažević, Carl Allen, Timothy M. Hospedales
cs.LGstat.MLarXiv:1901.09590v22019
SimRecon: SimReady Compositional Scene Reconstruction from Real Videos
Chong Xia, Kai Zhu, Zizhuo Wang +3
cs.CVarXiv:2603.02133v22026
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation
Jiwoon Ahn, Suha Kwak
cs.CVarXiv:1803.10464v22018
A Benchmark for Interpretability Methods in Deep Neural Networks
Sara Hooker, Dumitru Erhan, Pieter-Jan Kindermans +1
cs.LGcs.AIstat.MLarXiv:1806.10758v32018
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second
Noah Hollmann, Samuel Müller, Katharina Eggensperger +1
cs.LGstat.MLarXiv:2207.01848v62022

Every paper with a summary

Analysing high-throughput sequencing data in Python with HTSeq 2.0

Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing

FinMCP-Bench: Benchmarking LLM Agents for Real-World Financial Tool Use under the Model Context Protocol

A Systematic Evaluation of Large Language Models of Code

Machine Learning Testing: Survey, Landscapes and Horizons

Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection

Overcoming Exploration in Reinforcement Learning with Demonstrations

CADEvolve: Creating Realistic CAD via Program Evolution

GetDist: a Python package for analysing Monte Carlo samples

ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch

Community Detection in Networks with Node Attributes

TIES-Merging: Resolving Interference When Merging Models

Joint Detection and Identification Feature Learning for Person Search

CCTU: A Benchmark for Tool Use under Complex Constraints

SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models

Arcee Trinity Large Technical Report

SAMTok: Representing Any Mask with Two Words

Explaining NonLinear Classification Decisions with Deep Taylor Decomposition

LIBERO-Para: A Diagnostic Benchmark and Metrics for Paraphrase Robustness in VLA Models

Asymmetric Loss For Multi-Label Classification

Deep Audio-Visual Speech Recognition

DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning

Demystifying Video Reasoning

Gated Feedback Recurrent Neural Networks

Towards Automated Kernel Generation in the Era of LLMs

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

Semantic Autoencoder for Zero-Shot Learning

Video Models Reason Early: Exploiting Plan Commitment for Maze Solving

Autoregressive Image Generation using Residual Quantization

PhyRPR: Training-Free Physics-Constrained Video Generation

MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation

Detection and Resolution of Rumours in Social Media: A Survey

EvolVE: Evolutionary Search for LLM-based Verilog Generation and Optimization

LumosX: Relate Any Identities with Their Attributes for Personalized Video Generation

Quantum algorithms for supervised and unsupervised machine learning

BARF: Bundle-Adjusting Neural Radiance Fields

DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation

Sparsified SGD with Memory

Bayesian Online Changepoint Detection

Variational Dropout Sparsifies Deep Neural Networks

Multicomponent multisublattice alloys, nonconfigurational entropy and other additions to the Alloy Theoretic Automated Toolkit

FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs

Agentic AI and the next intelligence explosion

Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting

How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection

Secure Wireless Communication via Intelligent Reflecting Surface

One-Shot Learning for Semantic Segmentation

RAISE: Requirement-Adaptive Evolutionary Refinement for Training-Free Text-to-Image Alignment

Manifold-Aware Exploration for Reinforcement Learning in Video Generation

Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

Physics-Informed Neural Operator for Learning Partial Differential Equations

Reward-free Alignment for Conflicting Objectives

PersonaVLM: Long-Term Personalized Multimodal LLMs

MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms

ERNIE 2.0: A Continual Pre-training Framework for Language Understanding

TuckER: Tensor Factorization for Knowledge Graph Completion

SimRecon: SimReady Compositional Scene Reconstruction from Real Videos

Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation

A Benchmark for Interpretability Methods in Deep Neural Networks

TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second