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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58,861 to 58,920 of 117,717

Refinement-Based Flow Policy Optimization
Bumgeun Park, Hyukjun Yang, Donghwan Lee
cs.LGcs.AIarXiv:2609.15123v22026
Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation
Liwei Wang, Lunjia Hu, Jiayuan Gu +4
cs.LGstat.MLarXiv:1810.11750v22018
Evaluating prediction systems in software project estimation
Martin Shepperd, Stephen G. MacDonell
cs.SEarXiv:2101.05426v12021
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations
Xiang Yue, Zhen Wang, Jingong Huang +7
cs.LGcs.SIarXiv:1906.05017v32019
MRI-only brain radiotherapy: assessing the dosimetric accuracy of synthetic CT images generated using a deep learning approach
Samaneh Kazemifar, Sarah McGuire, Robert Timmerman +5
physics.med-pharXiv:1904.05789v12019
Frontier-Eng: Benchmarking Self-Evolving Agents on Real-World Engineering Tasks with Generative Optimization
Yizhe Chi, Deyao Hong, Dapeng Jiang +18
cs.AIcs.CLarXiv:2604.12290v22026
Engineering Multilevel Graph Partitioning Algorithms
Peter Sanders, Christian Schulz
cs.DScs.DCarXiv:1012.0006v32010
Large Language Models Enable Few-Shot Clustering
Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence +2
cs.CLarXiv:2307.00524v12023
Pandemic Populism: Facebook Pages of Alternative News Media and the Corona Crisis -- A Computational Content Analysis
Svenja Boberg, Thorsten Quandt, Tim Schatto-Eckrodt +1
cs.SIarXiv:2004.02566v32020
Uncertainty Estimation in Autoregressive Structured Prediction
Andrey Malinin, Mark Gales
stat.MLcs.AIcs.LGarXiv:2002.07650v52020
EMMA: End-to-End Multimodal Model for Autonomous Driving
Jyh-Jing Hwang, Runsheng Xu, Hubert Lin +11
cs.CVcs.AIcs.CLarXiv:2410.23262v32024
Bridging Knowledge Graphs to Generate Scene Graphs
Alireza Zareian, Svebor Karaman, Shih-Fu Chang
cs.CVarXiv:2001.02314v42020
PonderNet: Learning to Ponder
Andrea Banino, Jan Balaguer, Charles Blundell
cs.LGcs.AIcs.CCarXiv:2107.05407v22021
SwingGuard: Risk-Conditioned Multi-Agent Swing Trading with Dual-Timescale Governance
Junzhou Su, Yichen Luo, Yebo Feng +2
cs.MAarXiv:2610.12988v12026
Behavioral Cloning from Observation
Faraz Torabi, Garrett Warnell, Peter Stone
cs.AIarXiv:1805.01954v22018
Physically Realizable Adversarial Examples for LiDAR Object Detection
James Tu, Mengye Ren, Siva Manivasagam +5
cs.CVcs.CRcs.LGarXiv:2004.00543v22020
Hierarchical Frequency Tagging Probe (HFTP): A Unified Approach to Investigate Syntactic Structure Representations in Large Language Models and the Human Brain
Jingmin An, Yilong Song, Ruolin Yang +7
cs.CLcs.NEarXiv:2510.13255v12025
Machine Learning for Intelligent Optical Networks: A Comprehensive Survey
Rentao Gu, Zeyuan Yang, Yuefeng Ji
cs.NIcs.LGarXiv:2003.05290v12020
Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers
Lirui Wang, Xinlei Chen, Jialiang Zhao +1
cs.ROcs.CVcs.LGarXiv:2409.20537v12024
Correlation Decay up to Uniqueness in Spin Systems
Liang Li, Pinyan Lu, Yitong Yin
cs.DSarXiv:1111.7064v32011
Circuit knitting with classical communication
Christophe Piveteau, David Sutter
quant-pharXiv:2205.00016v32022
Spreading gossip in social networks
Pedro G. Lind, Luciano R. da Silva, José S. Andrade Jr. +1
physics.soc-pharXiv:0705.3224v12007
MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation
Hongjin Qian, Zheng Liu, Peitian Zhang +4
cs.CLcs.AIarXiv:2409.05591v32024
Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing
Brian Thompson, Matt Post
cs.CLarXiv:2004.14564v22020
ADMIT: Few-shot Knowledge Poisoning Attacks on RAG-based Fact Checking
Yutao Wu, Xiao Liu, Yinghui Li +5
cs.CLcs.AIcs.CRarXiv:2510.13842v22025
Rainbow Memory: Continual Learning with a Memory of Diverse Samples
Jihwan Bang, Heesu Kim, YoungJoon Yoo +2
cs.CVcs.LGarXiv:2103.17230v12021
Event-Based Fusion for Motion Deblurring with Cross-modal Attention
Lei Sun, Christos Sakaridis, Jingyun Liang +6
cs.CVarXiv:2112.00167v32021
Graph Neural Networks for Wireless Communications: From Theory to Practice
Yifei Shen, Jun Zhang, S. H. Song +1
cs.ITcs.LGeess.SParXiv:2203.10800v22022
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images
Nanyang Wang, Yinda Zhang, Zhuwen Li +3
cs.CVarXiv:1804.01654v22018
I-SiamIDS: an improved Siam-IDS for handling class imbalance in network-based intrusion detection systems
Punam Bedi, Neha Gupta, Vinita Jindal
cs.CRarXiv:2009.10940v12020
When Do You Need Billions of Words of Pretraining Data?
Yian Zhang, Alex Warstadt, Haau-Sing Li +1
cs.CLarXiv:2011.04946v12020
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation
Yutong Xie, Jianpeng Zhang, Chunhua Shen +1
cs.CVarXiv:2103.03024v12021
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems
Sami Khairy, Ruslan Shaydulin, Lukasz Cincio +2
cs.LGquant-phstat.MLarXiv:1911.11071v12019
Invariant Pretraining for Robust Code Representations
Yifeng He, Yundi Xu, Christopher Castro Gaw Gonzalo +2
cs.LGcs.AIcs.SEarXiv:2608.15412v12026
Caught in the Story: Narrative Captivity in Multi-turn LLMs Conversation
Yuhe Wu, Guangyu Wang, Yujie Chen +7
cs.AIarXiv:2609.03407v12026
Invertible Image Signal Processing
Yazhou Xing, Zian Qian, Qifeng Chen
eess.IVcs.CVarXiv:2103.15061v22021
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis
Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee +4
eess.IVcs.CVarXiv:1908.06912v12019
Enforcing Statistical Constraints in Generative Adversarial Networks for Modeling Chaotic Dynamical Systems
Jin-Long Wu, Karthik Kashinath, Adrian Albert +3
physics.comp-phphysics.flu-dynstat.MLarXiv:1905.06841v12019
Estimating Contamination via Perplexity: Quantifying Memorisation in Language Model Evaluation
Yucheng Li
cs.CLcs.AIarXiv:2309.10677v22023
BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses
Xin Xu, Xunzhi He, Churan Zhi +3
cs.CLcs.AIcs.CYarXiv:2510.00232v22025
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
Lihe Yang, Lei Qi, Litong Feng +2
cs.CVarXiv:2208.09910v22022
Quantum circuit optimizations for NISQ architectures
Beatrice Nash, Vlad Gheorghiu, Michele Mosca
quant-pharXiv:1904.01972v32019
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning
Rishabh Agarwal, Marlos C. Machado, Pablo Samuel Castro +1
cs.LGcs.AIstat.MLarXiv:2101.05265v22021
InstructEval: Systematic Evaluation of Instruction Selection Methods
Anirudh Ajith, Chris Pan, Mengzhou Xia +2
cs.CLcs.AIarXiv:2307.00259v22023
UnrealCV: Connecting Computer Vision to Unreal Engine
Weichao Qiu, Alan Yuille
cs.CVarXiv:1609.01326v12016
Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity
Guoshen Yu, Guillermo Sapiro, Stéphane Mallat
cs.CVarXiv:1006.3056v12010
Use of a Capsule Network to Detect Fake Images and Videos
Huy H. Nguyen, Junichi Yamagishi, Isao Echizen
cs.CVarXiv:1910.12467v22019
biobambam: tools for read pair collation based algorithms on BAM files
German Tischler, Steven Leonard
q-bio.GNarXiv:1306.0836v12013
TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation
Bingzhi Chen, Yishu Liu, Zheng Zhang +2
eess.IVcs.CVarXiv:2107.05274v22021
Exploring the many-body localization transition in two dimensions
Jae-yoon Choi, Sebastian Hild, Johannes Zeiher +7
cond-mat.quant-gascond-mat.dis-nncond-mat.stat-mecharXiv:1604.04178v12016
Semantic Drift Compensation for Class-Incremental Learning
Lu Yu, Bartłomiej Twardowski, Xialei Liu +5
cs.CVcs.LGarXiv:2004.00440v12020
CenterCLIP: Token Clustering for Efficient Text-Video Retrieval
Shuai Zhao, Linchao Zhu, Xiaohan Wang +1
cs.CVcs.IRarXiv:2205.00823v12022
Evaluating the Capabilities of LLMs for Persuasive Dialogue
Jordan Robinson, Angus R. Williams, Katie Atkinson +1
cs.CLarXiv:2608.29738v12026
Reward-guided Fine-Tuning of One-Step Generative Models via Wasserstein Gradient Flow
Hoseong Hwang, Woorim Han, Joungin Chun +2
cs.LGarXiv:2608.29647v12026
Millimeter Wave and Sub-Terahertz Spatial Statistical Channel Model for an Indoor Office Building
Shihao Ju, Yunchou Xing, Ojas Kanhere +1
cs.ITarXiv:2103.17127v12021
Deep Multitask Learning for Semantic Dependency Parsing
Hao Peng, Sam Thomson, Noah A. Smith
cs.CLarXiv:1704.06855v22017
VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation
Yecheng Wu, Zhuoyang Zhang, Junyu Chen +9
cs.CVcs.LGarXiv:2409.04429v32024
WorldFlow3D: Flowing Through 3D Distributions for Unbounded World Generation
Amogh Joshi, Julian Ost, Felix Heide
cs.CVcs.AIcs.GRarXiv:2603.29089v12026
A Survey of Deep Learning Techniques for Neural Machine Translation
Shuoheng Yang, Yuxin Wang, Xiaowen Chu
cs.CLarXiv:2002.07526v12020
Do Influence Functions Work on Large Language Models?
Zhe Li, Wei Zhao, Yige Li +1
cs.CLcs.AIarXiv:2409.19998v22024

Every paper with a summary

Refinement-Based Flow Policy Optimization

Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation

Evaluating prediction systems in software project estimation

Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations

MRI-only brain radiotherapy: assessing the dosimetric accuracy of synthetic CT images generated using a deep learning approach

Frontier-Eng: Benchmarking Self-Evolving Agents on Real-World Engineering Tasks with Generative Optimization

Engineering Multilevel Graph Partitioning Algorithms

Large Language Models Enable Few-Shot Clustering

Pandemic Populism: Facebook Pages of Alternative News Media and the Corona Crisis -- A Computational Content Analysis

Uncertainty Estimation in Autoregressive Structured Prediction

EMMA: End-to-End Multimodal Model for Autonomous Driving

Bridging Knowledge Graphs to Generate Scene Graphs

PonderNet: Learning to Ponder

SwingGuard: Risk-Conditioned Multi-Agent Swing Trading with Dual-Timescale Governance

Behavioral Cloning from Observation

Physically Realizable Adversarial Examples for LiDAR Object Detection

Hierarchical Frequency Tagging Probe (HFTP): A Unified Approach to Investigate Syntactic Structure Representations in Large Language Models and the Human Brain

Machine Learning for Intelligent Optical Networks: A Comprehensive Survey

Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers

Correlation Decay up to Uniqueness in Spin Systems

Circuit knitting with classical communication

Spreading gossip in social networks

MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation

Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing

ADMIT: Few-shot Knowledge Poisoning Attacks on RAG-based Fact Checking

Rainbow Memory: Continual Learning with a Memory of Diverse Samples

Event-Based Fusion for Motion Deblurring with Cross-modal Attention

Graph Neural Networks for Wireless Communications: From Theory to Practice

Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images

I-SiamIDS: an improved Siam-IDS for handling class imbalance in network-based intrusion detection systems

When Do You Need Billions of Words of Pretraining Data?

CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation

Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems

Invariant Pretraining for Robust Code Representations

Caught in the Story: Narrative Captivity in Multi-turn LLMs Conversation

Invertible Image Signal Processing

Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis

Enforcing Statistical Constraints in Generative Adversarial Networks for Modeling Chaotic Dynamical Systems

Estimating Contamination via Perplexity: Quantifying Memorisation in Language Model Evaluation

BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses

Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation

Quantum circuit optimizations for NISQ architectures

Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning

InstructEval: Systematic Evaluation of Instruction Selection Methods

UnrealCV: Connecting Computer Vision to Unreal Engine

Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity

Use of a Capsule Network to Detect Fake Images and Videos

biobambam: tools for read pair collation based algorithms on BAM files

TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation

Exploring the many-body localization transition in two dimensions

Semantic Drift Compensation for Class-Incremental Learning

CenterCLIP: Token Clustering for Efficient Text-Video Retrieval

Evaluating the Capabilities of LLMs for Persuasive Dialogue

Reward-guided Fine-Tuning of One-Step Generative Models via Wasserstein Gradient Flow

Millimeter Wave and Sub-Terahertz Spatial Statistical Channel Model for an Indoor Office Building

Deep Multitask Learning for Semantic Dependency Parsing

VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation

WorldFlow3D: Flowing Through 3D Distributions for Unbounded World Generation

A Survey of Deep Learning Techniques for Neural Machine Translation

Do Influence Functions Work on Large Language Models?