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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25,621 to 25,680 of 118,584

IMVS: Interactive Medical Volume Segmentation with Test-Time Adaptation - A New Method for Annotating Radiology Datasets
Abhilaksh Singh Reen, Kushal Borkar, Ritvik Mahapatra
cs.CVarXiv:2609.16775v12026
Lero: A Learning-to-Rank Query Optimizer
Rong Zhu, Wei Chen, Bolin Ding +4
cs.DBcs.AIarXiv:2302.06873v22023
Optimal Pruning for Neural Architectures using Fisher Information Distances
David S. Berman, Yen-Yu Fu, Edward Hirst +1
cs.AIcs.ITmath.DGarXiv:2609.16129v12026
Physics Informed Random Feature Neural Networks for Solving PDEs
Chi-An Chen, Chunyang Liao, Ming Zhong
math.NAcs.LGcs.NAarXiv:2609.16406v12026
ProxiDex: Learning Dynamics-Guided Proximity Policy for Dexterous Manipulation
Yushan Bai, Boyu Zheng, Zhiyang Mao +4
cs.ROcs.AIarXiv:2609.16586v12026
Reasoning with Image Generation
Nishad Singhi, Hector Garcia Rodriguez, Aditya Arora +2
cs.CVarXiv:2609.16409v12026
Four Ledgers, Not One Score: Responsible Communication of LLM-Judge Calibration in Biomedical ML
Sidi Chang, Peiying Zhu
cs.AIarXiv:2609.15015v12026
UDAV: Uncertainty-Driven Adaptive VLM Waypoint Planner
Ghazal Farhani, Shabnam Shabani
cs.ROcs.AIarXiv:2609.16368v12026
Safe Error Correction for Language Models: Frozen-Base Adjustment with Capability Preservation
Gautam Kishore
cs.AIcs.CLcs.LGarXiv:2609.16145v12026
HarnessBank: Semantic Gene-Bank Search with Gated Verification for Agent-Harness Self-Evolution
Xiaotian Luo, Dizhan Xue, Fengxingyu Wang +2
cs.CLarXiv:2607.13683v22026
Complementary Explanations for Effective In-Context Learning
Xi Ye, Srinivasan Iyer, Asli Celikyilmaz +3
cs.CLarXiv:2211.13892v22022
Spectral bandits for smooth graph functions with applications in recommender systems
Tomáš Kocák, Michal Valko, Rémi Munos +2
stat.MLcs.LGarXiv:2605.20552v12026
EBL: Efficient Broad Learning for Distributed Adaptive Harmonic Analysis
Changhong Li, Georgios Floros, Biswajit Basu +1
cs.ARcs.LGarXiv:2609.16358v12026
Learning to Generate Realistic LiDAR Point Clouds
Vlas Zyrianov, Xiyue Zhu, Shenlong Wang
cs.CVarXiv:2209.03954v22022
GPEvac: GNN-Based PPO for Adaptive Evacuation Routing During Shooting Events
Daniel Perkins, Subhadeep Chakraborty
cs.AIcs.CYcs.LGarXiv:2609.16163v12026
Domain Generalization for Smartphone-Based Human Activity Recognition: A Systematic Analysis of Components and Interactions
Otávio Oliveira Napoli, Edson Borin
cs.AIarXiv:2609.14863v12026
Horizon-specific Expert Fusion for Photovoltaic Power Forecasting
Xu Yuqing, Zhou Liguo, Sun Ze +2
cs.AIarXiv:2609.15035v12026
Exploiting and Securing Docker containers and Kubernetes pods from a MitM attack
Henry Kabuye, Ismail Khalid Kazmi, Chunyan Mu +1
cs.CRarXiv:2609.16253v12026
Exploring Chemical Space with Score-based Out-of-distribution Generation
Seul Lee, Jaehyeong Jo, Sung Ju Hwang
q-bio.BMcs.LGphysics.chem-pharXiv:2206.07632v32022
When Correlations Mislead: Confounder-Aware Multi-View Urban Region Representation Learning
Sean Bin Yang, Ying Sun, Zongyi Xu +6
cs.LGcs.AIarXiv:2609.15305v12026
video-SALMONN: Speech-Enhanced Audio-Visual Large Language Models
Guangzhi Sun, Wenyi Yu, Changli Tang +7
cs.CVarXiv:2406.15704v12024
Active Learning of Fractional-Order Viscoelastic Model Parameters for Realistic Haptic Rendering
Harun Tolasa, Gorkem Gemalmaz, Volkan Patoglu
eess.SYcs.AIcs.ROarXiv:2512.00667v22025
AnyCamVLA: Zero-Shot Camera Adaptation for Viewpoint Robust Vision-Language-Action Models
Hyeongjun Heo, Seungyeon Woo, Sang Min Kim +4
cs.ROarXiv:2603.05868v22026
A Survey on Legal Judgment Prediction: Datasets, Metrics, Models and Challenges
Junyun Cui, Xiaoyu Shen, Feiping Nie +3
cs.CLcs.LGarXiv:2204.04859v12022
Ensemble Complexity in Photovoltaic Forecasting
Sun Ze, Zhou Liguo, Xu Yuqing +2
cs.LGcs.AIarXiv:2609.15049v12026
Generate to Explore, Select to Exploit: Aligning LLM-based Headline Generation with Personalized Recommendation
Yi Chen, Rufeng Cheng, Qiang Xie +1
cs.IRcs.AIarXiv:2609.15094v12026
OKAMI: Teaching Humanoid Robots Manipulation Skills through Single Video Imitation
Jinhan Li, Yifeng Zhu, Yuqi Xie +4
cs.ROcs.AIcs.CVarXiv:2410.11792v12024
User-LLM: Efficient LLM Contextualization with User Embeddings
Lin Ning, Luyang Liu, Jiaxing Wu +6
cs.CLcs.AIcs.LGarXiv:2402.13598v22024
Semantic Fibers and Cross-Gram Interference: A Calculus of Safety Drift in Overcomplete Representations
Mohammed Ahnouch, Lotfi Elaachack
cs.LGcs.AIarXiv:2609.14861v12026
Long-Term Energy Management for Microgrid with Hybrid Hydrogen-Battery Energy Storage: A Prediction-Free Coordinated Optimization Framework
Ning Qi, Kaidi Huang, Zhiyuan Fan +1
math.OCcs.SYeess.SYarXiv:2407.21698v12024
MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement
Lingyu Kong, Ruicheng Li, Ruicheng Wang +4
cs.CVarXiv:2607.17967v22026
SAI3D: Segment Any Instance in 3D Scenes
Yingda Yin, Yuzheng Liu, Yang Xiao +3
cs.CVarXiv:2312.11557v22023
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
Guibin Zhang, Yanwei Yue, Xiangguo Sun +6
cs.MAcs.LGarXiv:2410.11782v32024
Selective Aggregation for Low-Rank Adaptation in Federated Learning
Pengxin Guo, Shuang Zeng, Yanran Wang +3
cs.LGarXiv:2410.01463v32024
A deep generative model for probabilistic energy forecasting in power systems: normalizing flows
Jonathan Dumas, Antoine Wehenkel Damien Lanaspeze, Bertrand Cornélusse +1
cs.LGcs.SYeess.SYarXiv:2106.09370v42021
MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression
Wei Jiang, Jiayu Yang, Yongqi Zhai +2
eess.IVcs.CVarXiv:2307.15421v112023
RAG-Fusion: a New Take on Retrieval-Augmented Generation
Zackary Rackauckas
cs.IRcs.LGarXiv:2402.03367v22024
Empowering the 6G Cellular Architecture with Open RAN
Michele Polese, Mischa Dohler, Falko Dressler +4
cs.NIeess.SParXiv:2312.02746v12023
Attacking Large Language Models with Projected Gradient Descent
Simon Geisler, Tom Wollschläger, M. H. I. Abdalla +2
cs.LGarXiv:2402.09154v22024
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning
Han-Jia Ye, Hong-You Chen, De-Chuan Zhan +1
cs.LGcs.CVstat.MLarXiv:2001.01385v42020
Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model
Yizhe Zhang, Tao Zhou, Shuo Wang +2
cs.CVcs.AIcs.LGarXiv:2304.11332v22023
PINN deep learning for the Chen-Lee-Liu equation: Rogue wave on the periodic background
Weiqi Peng, Juncai Pu, Yong Chen
nlin.SInlin.PSarXiv:2105.13027v12021
Multi-Behavior Recommendation with Cascading Graph Convolution Networks
Zhiyong Cheng, Sai Han, Fan Liu +3
cs.IRarXiv:2303.15720v12023
Knowing Where to Focus: Event-aware Transformer for Video Grounding
Jinhyun Jang, Jungin Park, Jin Kim +2
cs.CVcs.LGarXiv:2308.06947v12023
Seismic Arrival-time Picking on Distributed Acoustic Sensing Data using Semi-supervised Learning
Weiqiang Zhu, Ettore Biondi, Jiaxuan Li +3
physics.geo-pharXiv:2302.08747v22023
AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model
Seungwhan Moon, Andrea Madotto, Zhaojiang Lin +10
cs.LGcs.CLcs.CVarXiv:2309.16058v12023
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond
Fangzhi Xu, Qika Lin, Jiawei Han +3
cs.CLcs.AIarXiv:2306.09841v42023
ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction
Jia Guo, Shuai Lu, Lize Jia +2
cs.CVarXiv:2306.02602v32023
ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-Thought
Hanchong Zhang, Ruisheng Cao, Lu Chen +2
cs.CLarXiv:2310.17342v12023
EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models
Peng Wang, Ningyu Zhang, Bozhong Tian +11
cs.CLcs.AIcs.CVarXiv:2308.07269v32023
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery
Bingchen Zhao, Xin Wen, Kai Han
cs.CVarXiv:2305.06144v22023
NLPositionality: Characterizing Design Biases of Datasets and Models
Sebastin Santy, Jenny T. Liang, Ronan Le Bras +2
cs.CLcs.CYcs.HCarXiv:2306.01943v12023
Remote Sensing Change Detection With Transformers Trained from Scratch
Mubashir Noman, Mustansar Fiaz, Hisham Cholakkal +4
cs.CVarXiv:2304.06710v12023
NerfAcc: Efficient Sampling Accelerates NeRFs
Ruilong Li, Hang Gao, Matthew Tancik +1
cs.CVarXiv:2305.04966v22023
General-Purpose In-Context Learning by Meta-Learning Transformers
Louis Kirsch, James Harrison, Jascha Sohl-Dickstein +1
cs.LGcs.AIcs.NEarXiv:2212.04458v22022
Input Perturbation Reduces Exposure Bias in Diffusion Models
Mang Ning, Enver Sangineto, Angelo Porrello +2
cs.LGcs.AIcs.CVarXiv:2301.11706v32023
Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation, and COTS Evaluation
Ester Gonzalez-Sosa, Julian Fierrez, Ruben Vera-Rodriguez +1
cs.CVarXiv:2210.13129v12022
Classical and Quantum Bounded Depth Approximation Algorithms
M. B. Hastings
quant-pharXiv:1905.07047v22019
MangoLeafBD: A Comprehensive Image Dataset to Classify Diseased and Healthy Mango Leaves
Sarder Iftekhar Ahmed, Muhammad Ibrahim, Md. Nadim +4
cs.CVcs.LGarXiv:2209.02377v12022
Dual Octree Graph Networks for Learning Adaptive Volumetric Shape Representations
Peng-Shuai Wang, Yang Liu, Xin Tong
cs.CVcs.GRcs.LGarXiv:2205.02825v22022

Every paper with a summary

IMVS: Interactive Medical Volume Segmentation with Test-Time Adaptation - A New Method for Annotating Radiology Datasets

Lero: A Learning-to-Rank Query Optimizer

Optimal Pruning for Neural Architectures using Fisher Information Distances

Physics Informed Random Feature Neural Networks for Solving PDEs

ProxiDex: Learning Dynamics-Guided Proximity Policy for Dexterous Manipulation

Reasoning with Image Generation

Four Ledgers, Not One Score: Responsible Communication of LLM-Judge Calibration in Biomedical ML

UDAV: Uncertainty-Driven Adaptive VLM Waypoint Planner

Safe Error Correction for Language Models: Frozen-Base Adjustment with Capability Preservation

HarnessBank: Semantic Gene-Bank Search with Gated Verification for Agent-Harness Self-Evolution

Complementary Explanations for Effective In-Context Learning

Spectral bandits for smooth graph functions with applications in recommender systems

EBL: Efficient Broad Learning for Distributed Adaptive Harmonic Analysis

Learning to Generate Realistic LiDAR Point Clouds

GPEvac: GNN-Based PPO for Adaptive Evacuation Routing During Shooting Events

Domain Generalization for Smartphone-Based Human Activity Recognition: A Systematic Analysis of Components and Interactions

Horizon-specific Expert Fusion for Photovoltaic Power Forecasting

Exploiting and Securing Docker containers and Kubernetes pods from a MitM attack

Exploring Chemical Space with Score-based Out-of-distribution Generation

When Correlations Mislead: Confounder-Aware Multi-View Urban Region Representation Learning

video-SALMONN: Speech-Enhanced Audio-Visual Large Language Models

Active Learning of Fractional-Order Viscoelastic Model Parameters for Realistic Haptic Rendering

AnyCamVLA: Zero-Shot Camera Adaptation for Viewpoint Robust Vision-Language-Action Models

A Survey on Legal Judgment Prediction: Datasets, Metrics, Models and Challenges

Ensemble Complexity in Photovoltaic Forecasting

Generate to Explore, Select to Exploit: Aligning LLM-based Headline Generation with Personalized Recommendation

OKAMI: Teaching Humanoid Robots Manipulation Skills through Single Video Imitation

User-LLM: Efficient LLM Contextualization with User Embeddings

Semantic Fibers and Cross-Gram Interference: A Calculus of Safety Drift in Overcomplete Representations

Long-Term Energy Management for Microgrid with Hybrid Hydrogen-Battery Energy Storage: A Prediction-Free Coordinated Optimization Framework

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement

SAI3D: Segment Any Instance in 3D Scenes

G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks

Selective Aggregation for Low-Rank Adaptation in Federated Learning

A deep generative model for probabilistic energy forecasting in power systems: normalizing flows

MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression

RAG-Fusion: a New Take on Retrieval-Augmented Generation

Empowering the 6G Cellular Architecture with Open RAN

Attacking Large Language Models with Projected Gradient Descent

Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning

Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model

PINN deep learning for the Chen-Lee-Liu equation: Rogue wave on the periodic background

Multi-Behavior Recommendation with Cascading Graph Convolution Networks

Knowing Where to Focus: Event-aware Transformer for Video Grounding

Seismic Arrival-time Picking on Distributed Acoustic Sensing Data using Semi-supervised Learning

AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model

Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond

ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction

ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-Thought

EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models

Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery

NLPositionality: Characterizing Design Biases of Datasets and Models

Remote Sensing Change Detection With Transformers Trained from Scratch

NerfAcc: Efficient Sampling Accelerates NeRFs

General-Purpose In-Context Learning by Meta-Learning Transformers

Input Perturbation Reduces Exposure Bias in Diffusion Models

Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation, and COTS Evaluation

Classical and Quantum Bounded Depth Approximation Algorithms

MangoLeafBD: A Comprehensive Image Dataset to Classify Diseased and Healthy Mango Leaves

Dual Octree Graph Networks for Learning Adaptive Volumetric Shape Representations