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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53,341 to 53,400 of 61,132

CP-nets: A Tool for Representing and Reasoning withConditional Ceteris Paribus Preference Statements
C. Boutilier, R. I. Brafman, C. Domshlak +2
cs.AIarXiv:1107.0023v12011
A Deep Relevance Matching Model for Ad-hoc Retrieval
Jiafeng Guo, Yixing Fan, Qingyao Ai +1
cs.IRarXiv:1711.08611v12017
Acquisition of Localization Confidence for Accurate Object Detection
Borui Jiang, Ruixuan Luo, Jiayuan Mao +2
cs.CVarXiv:1807.11590v12018
ThinkJEPA: Empowering Latent World Models with Large Vision-Language Reasoning Model
Haichao Zhang, Yijiang Li, Shwai He +5
cs.CVcs.AIcs.CLarXiv:2603.22281v22026
LongCat-Flash-Prover: Advancing Native Formal Reasoning via Agentic Tool-Integrated Reinforcement Learning
Jianing Wang, Jianfei Zhang, Qi Guo +24
cs.AIcs.CLarXiv:2603.21065v12026
RTAB-Map as an Open-Source Lidar and Visual SLAM Library for Large-Scale and Long-Term Online Operation
Mathieu Labbé, François Michaud
cs.ROarXiv:2403.06341v12024
C-RADIOv4 (Tech Report)
Mike Ranzinger, Greg Heinrich, Collin McCarthy +4
cs.CVarXiv:2601.17237v12026
Memory Fusion Network for Multi-view Sequential Learning
Amir Zadeh, Paul Pu Liang, Navonil Mazumder +3
cs.LGcs.AIarXiv:1802.00927v12018
Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net
Xingang Pan, Ping Luo, Jianping Shi +1
cs.CVarXiv:1807.09441v32018
Position: Agentic Evolution is the Path to Evolving LLMs
Minhua Lin, Hanqing Lu, Zhan Shi +11
cs.AIarXiv:2602.00359v22026
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Ilya Kostrikov, Denis Yarats, Rob Fergus
cs.LGcs.CVeess.IVarXiv:2004.13649v42020
BRITS: Bidirectional Recurrent Imputation for Time Series
Wei Cao, Dong Wang, Jian Li +3
cs.LGstat.MLarXiv:1805.10572v12018
SinGAN: Learning a Generative Model from a Single Natural Image
Tamar Rott Shaham, Tali Dekel, Tomer Michaeli
cs.CVarXiv:1905.01164v22019
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Rachel K. E. Bellamy, Kuntal Dey, Michael Hind +15
cs.AIarXiv:1810.01943v12018
Imaging Time-Series to Improve Classification and Imputation
Zhiguang Wang, Tim Oates
cs.LGcs.NEstat.MLarXiv:1506.00327v12015
The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents
Weihao Xuan, Qingcheng Zeng, Heli Qi +3
cs.CLarXiv:2601.07264v12026
Deeper and Wider Siamese Networks for Real-Time Visual Tracking
Zhipeng Zhang, Houwen Peng
cs.CVarXiv:1901.01660v32019
Behavior Knowledge Merge in Reinforced Agentic Models
Xiangchi Yuan, Dachuan Shi, Chunhui Zhang +4
cs.LGarXiv:2601.13572v12026
PROGRESSLM: Towards Progress Reasoning in Vision-Language Models
Jianshu Zhang, Chengxuan Qian, Haosen Sun +4
cs.CVcs.CLarXiv:2601.15224v22026
A Subgoal-driven Framework for Improving Long-Horizon LLM Agents
Taiyi Wang, Sian Gooding, Florian Hartmann +2
cs.AIcs.LGcs.MAarXiv:2603.19685v12026
A Simple and Effective Pruning Approach for Large Language Models
Mingjie Sun, Zhuang Liu, Anna Bair +1
cs.CLcs.AIcs.LGarXiv:2306.11695v32023
FireRed-OCR Technical Report
Hao Wu, Haoran Lou, Xinyue Li +19
cs.CVeess.IVarXiv:2603.01840v12026
WorldCam: Interactive Autoregressive 3D Gaming Worlds with Camera Pose as a Unifying Geometric Representation
Jisu Nam, Yicong Hong, Chun-Hao Paul Huang +9
cs.CVarXiv:2603.16871v12026
Understanding Reasoning in LLMs through Strategic Information Allocation under Uncertainty
Jeonghye Kim, Xufang Luo, Minbeom Kim +3
cs.AIcs.LGarXiv:2603.15500v22026
LRM: Large Reconstruction Model for Single Image to 3D
Yicong Hong, Kai Zhang, Jiuxiang Gu +7
cs.CVcs.AIcs.GRarXiv:2311.04400v22023
A Discriminatively Learned CNN Embedding for Person Re-identification
Zhedong Zheng, Liang Zheng, Yi Yang
cs.CVarXiv:1611.05666v22016
Quantum random access memory
Vittorio Giovannetti, Seth Lloyd, Lorenzo Maccone
quant-pharXiv:0708.1879v22007
Unified Pre-training for Program Understanding and Generation
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray +1
cs.CLcs.PLarXiv:2103.06333v22021
Image Generation with a Sphere Encoder
Kaiyu Yue, Menglin Jia, Ji Hou +1
cs.CVarXiv:2602.15030v12026
Hierarchical Representations for Efficient Architecture Search
Hanxiao Liu, Karen Simonyan, Oriol Vinyals +2
cs.LGcs.CVcs.NEarXiv:1711.00436v22017
A Survey on Large Language Models for Recommendation
Likang Wu, Zhi Zheng, Zhaopeng Qiu +9
cs.IRcs.AIarXiv:2305.19860v52023
Graph R-CNN for Scene Graph Generation
Jianwei Yang, Jiasen Lu, Stefan Lee +2
cs.CVcs.LGarXiv:1808.00191v12018
U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
Jun Ma, Feifei Li, Bo Wang
eess.IVcs.CVcs.LGarXiv:2401.04722v12024
Ragas: Automated Evaluation of Retrieval Augmented Generation
Shahul Es, Jithin James, Luis Espinosa-Anke +1
cs.CLarXiv:2309.15217v22023
Multi-Vector Index Compression in Any Modality
Hanxiang Qin, Alexander Martin, Rohan Jha +3
cs.IRcs.CLcs.CVarXiv:2602.21202v12026
OCRVerse: Towards Holistic OCR in End-to-End Vision-Language Models
Yufeng Zhong, Lei Chen, Xuanle Zhao +7
cs.CVarXiv:2601.21639v22026
Early Convolutions Help Transformers See Better
Tete Xiao, Mannat Singh, Eric Mintun +3
cs.CVarXiv:2106.14881v32021
Adversarial Attacks on Neural Network Policies
Sandy Huang, Nicolas Papernot, Ian Goodfellow +2
cs.LGcs.CRstat.MLarXiv:1702.02284v12017
RealMem: Benchmarking LLMs in Real-World Memory-Driven Interaction
Haonan Bian, Zhiyuan Yao, Sen Hu +7
cs.CLcs.AIarXiv:2601.06966v12026
Diagnosing the Reliability of LLM-as-a-Judge via Item Response Theory
Junhyuk Choi, Sohhyung Park, Chanhee Cho +2
cs.AIarXiv:2602.00521v22026
MOPO: Model-based Offline Policy Optimization
Tianhe Yu, Garrett Thomas, Lantao Yu +5
cs.LGcs.AIstat.MLarXiv:2005.13239v62020
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
Stephen Casper, Xander Davies, Claudia Shi +29
cs.AIcs.CLcs.LGarXiv:2307.15217v22023
Calibrate-Then-Act: Cost-Aware Exploration in LLM Agents
Wenxuan Ding, Nicholas Tomlin, Greg Durrett
cs.CLcs.AIarXiv:2602.16699v32026
Deduplicating Training Data Makes Language Models Better
Katherine Lee, Daphne Ippolito, Andrew Nystrom +4
cs.CLcs.LGarXiv:2107.06499v22021
Training Language Models via Neural Cellular Automata
Dan Lee, Seungwook Han, Akarsh Kumar +1
cs.LGcs.AIcs.CLarXiv:2603.10055v12026
CMT: Convolutional Neural Networks Meet Vision Transformers
Jianyuan Guo, Kai Han, Han Wu +4
cs.CVarXiv:2107.06263v32021
MultiGen: Level-Design for Editable Multiplayer Worlds in Diffusion Game Engines
Ryan Po, David Junhao Zhang, Amir Hertz +3
cs.AIcs.CVcs.GRarXiv:2603.06679v22026
UniReason 1.0: A Unified Reasoning Framework for World Knowledge Aligned Image Generation and Editing
Dianyi Wang, Chaofan Ma, Feng Han +8
cs.CVcs.AIarXiv:2602.02437v42026
Medical Image Fusion: A survey of the state of the art
A. P. James, B. V. Dasarathy
cs.CVcs.AIphysics.med-pharXiv:1401.0166v12013
The AI Hippocampus: How Far are We From Human Memory?
Zixia Jia, Jiaqi Li, Yipeng Kang +12
cs.AIarXiv:2601.09113v12026
Grammar Variational Autoencoder
Matt J. Kusner, Brooks Paige, José Miguel Hernández-Lobato
stat.MLarXiv:1703.01925v12017
How Well Do Models Follow Visual Instructions? VIBE: A Systematic Benchmark for Visual Instruction-Driven Image Editing
Huanyu Zhang, Xuehai Bai, Chengzu Li +9
cs.CVarXiv:2602.01851v22026
Cascaded Partial Decoder for Fast and Accurate Salient Object Detection
Zhe Wu, Li Su, Qingming Huang
cs.CVarXiv:1904.08739v12019
OmniVideo-R1: Reinforcing Audio-visual Reasoning with Query Intention and Modality Attention
Zhangquan Chen, Jiale Tao, Ruihuang Li +10
cs.AIcs.CVarXiv:2602.05847v22026
Oversampling for Imbalanced Learning Based on K-Means and SMOTE
Felix Last, Georgios Douzas, Fernando Bacao
cs.LGstat.MLarXiv:1711.00837v22017
CoBA-RL: Capability-Oriented Budget Allocation for Reinforcement Learning in LLMs
Zhiyuan Yao, Yi-Kai Zhang, Yuxin Chen +7
cs.LGcs.AIarXiv:2602.03048v32026
EnterpriseOps-Gym: Environments and Evaluations for Stateful Agentic Planning and Tool Use in Enterprise Settings
Shiva Krishna Reddy Malay, Shravan Nayak, Jishnu Sethumadhavan Nair +6
cs.AIcs.LGarXiv:2603.13594v12026
Deep Long-Tailed Learning: A Survey
Yifan Zhang, Bingyi Kang, Bryan Hooi +2
cs.CVarXiv:2110.04596v22021
Evolving Deep Neural Networks
Risto Miikkulainen, Jason Liang, Elliot Meyerson +8
cs.NEcs.AIarXiv:1703.00548v22017
Agentic Code Reasoning
Shubham Ugare, Satish Chandra
cs.SEcs.AIcs.PLarXiv:2603.01896v22026

Every paper with a summary

CP-nets: A Tool for Representing and Reasoning withConditional Ceteris Paribus Preference Statements

A Deep Relevance Matching Model for Ad-hoc Retrieval

Acquisition of Localization Confidence for Accurate Object Detection

ThinkJEPA: Empowering Latent World Models with Large Vision-Language Reasoning Model

LongCat-Flash-Prover: Advancing Native Formal Reasoning via Agentic Tool-Integrated Reinforcement Learning

RTAB-Map as an Open-Source Lidar and Visual SLAM Library for Large-Scale and Long-Term Online Operation

C-RADIOv4 (Tech Report)

Memory Fusion Network for Multi-view Sequential Learning

Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

Position: Agentic Evolution is the Path to Evolving LLMs

Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

BRITS: Bidirectional Recurrent Imputation for Time Series

SinGAN: Learning a Generative Model from a Single Natural Image

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Imaging Time-Series to Improve Classification and Imputation

The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents

Deeper and Wider Siamese Networks for Real-Time Visual Tracking

Behavior Knowledge Merge in Reinforced Agentic Models

PROGRESSLM: Towards Progress Reasoning in Vision-Language Models

A Subgoal-driven Framework for Improving Long-Horizon LLM Agents

A Simple and Effective Pruning Approach for Large Language Models

FireRed-OCR Technical Report

WorldCam: Interactive Autoregressive 3D Gaming Worlds with Camera Pose as a Unifying Geometric Representation

Understanding Reasoning in LLMs through Strategic Information Allocation under Uncertainty

LRM: Large Reconstruction Model for Single Image to 3D

A Discriminatively Learned CNN Embedding for Person Re-identification

Quantum random access memory

Unified Pre-training for Program Understanding and Generation

Image Generation with a Sphere Encoder

Hierarchical Representations for Efficient Architecture Search

A Survey on Large Language Models for Recommendation

Graph R-CNN for Scene Graph Generation

U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Ragas: Automated Evaluation of Retrieval Augmented Generation

Multi-Vector Index Compression in Any Modality

OCRVerse: Towards Holistic OCR in End-to-End Vision-Language Models

Early Convolutions Help Transformers See Better

Adversarial Attacks on Neural Network Policies

RealMem: Benchmarking LLMs in Real-World Memory-Driven Interaction

Diagnosing the Reliability of LLM-as-a-Judge via Item Response Theory

MOPO: Model-based Offline Policy Optimization

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

Calibrate-Then-Act: Cost-Aware Exploration in LLM Agents

Deduplicating Training Data Makes Language Models Better

Training Language Models via Neural Cellular Automata

CMT: Convolutional Neural Networks Meet Vision Transformers

MultiGen: Level-Design for Editable Multiplayer Worlds in Diffusion Game Engines

UniReason 1.0: A Unified Reasoning Framework for World Knowledge Aligned Image Generation and Editing

Medical Image Fusion: A survey of the state of the art

The AI Hippocampus: How Far are We From Human Memory?

Grammar Variational Autoencoder

How Well Do Models Follow Visual Instructions? VIBE: A Systematic Benchmark for Visual Instruction-Driven Image Editing

Cascaded Partial Decoder for Fast and Accurate Salient Object Detection

OmniVideo-R1: Reinforcing Audio-visual Reasoning with Query Intention and Modality Attention

Oversampling for Imbalanced Learning Based on K-Means and SMOTE

CoBA-RL: Capability-Oriented Budget Allocation for Reinforcement Learning in LLMs

EnterpriseOps-Gym: Environments and Evaluations for Stateful Agentic Planning and Tool Use in Enterprise Settings

Deep Long-Tailed Learning: A Survey

Evolving Deep Neural Networks

Agentic Code Reasoning