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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53,461 to 53,520 of 61,271

Spurious Rewards Paradox: Mechanistically Understanding How RLVR Activates Memorization Shortcuts in LLMs
Lecheng Yan, Ruizhe Li, Guanhua Chen +5
cs.LGcs.CLarXiv:2601.11061v22026
VGGSound: A Large-scale Audio-Visual Dataset
Honglie Chen, Weidi Xie, Andrea Vedaldi +1
cs.CVcs.SDeess.ASarXiv:2004.14368v22020
MA-EgoQA: Question Answering over Egocentric Videos from Multiple Embodied Agents
Kangsan Kim, Yanlai Yang, Suji Kim +4
cs.CVcs.AIarXiv:2603.09827v22026
FrankenMotion: Part-level Human Motion Generation and Composition
Chuqiao Li, Xianghui Xie, Yong Cao +2
cs.CVarXiv:2601.10909v12026
dVoting: Fast Voting for dLLMs
Sicheng Feng, Zigeng Chen, Xinyin Ma +2
cs.CLcs.AIarXiv:2602.12153v12026
Progress measures for grokking via mechanistic interpretability
Neel Nanda, Lawrence Chan, Tom Lieberum +2
cs.LGcs.AIarXiv:2301.05217v32023
Attend Before Attention: Efficient and Scalable Video Understanding via Autoregressive Gazing
Baifeng Shi, Stephanie Fu, Long Lian +10
cs.CVarXiv:2603.12254v12026
CARAFE: Content-Aware ReAssembly of FEatures
Jiaqi Wang, Kai Chen, Rui Xu +3
cs.CVarXiv:1905.02188v32019
Long-term Temporal Convolutions for Action Recognition
Gül Varol, Ivan Laptev, Cordelia Schmid
cs.CVarXiv:1604.04494v22016
A Survey on Neural Network Interpretability
Yu Zhang, Peter Tiňo, Aleš Leonardis +1
cs.LGcs.AIarXiv:2012.14261v32020
NewsQA: A Machine Comprehension Dataset
Adam Trischler, Tong Wang, Xingdi Yuan +4
cs.CLcs.AIarXiv:1611.09830v32016
AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science
An Luo, Jin Du, Xun Xian +12
cs.LGcs.AIstat.MEarXiv:2603.19005v32026
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition
Vadim Lebedev, Yaroslav Ganin, Maksim Rakhuba +2
cs.CVcs.LGarXiv:1412.6553v32014
Chronos: Learning the Language of Time Series
Abdul Fatir Ansari, Lorenzo Stella, Caner Turkmen +15
cs.LGcs.AIarXiv:2403.07815v32024
Efficient Neural Network Robustness Certification with General Activation Functions
Huan Zhang, Tsui-Wei Weng, Pin-Yu Chen +2
cs.LGcs.CRstat.MLarXiv:1811.00866v12018
From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator Ansatz
Stuart Hadfield, Zhihui Wang, Bryan O'Gorman +3
quant-pharXiv:1709.03489v22017
Time-Contrastive Networks: Self-Supervised Learning from Video
Pierre Sermanet, Corey Lynch, Yevgen Chebotar +4
cs.CVcs.ROarXiv:1704.06888v32017
Grounding World Simulation Models in a Real-World Metropolis
Junyoung Seo, Hyunwook Choi, Minkyung Kwon +10
cs.CVarXiv:2603.15583v12026
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

Every paper with a summary

Spurious Rewards Paradox: Mechanistically Understanding How RLVR Activates Memorization Shortcuts in LLMs

VGGSound: A Large-scale Audio-Visual Dataset

MA-EgoQA: Question Answering over Egocentric Videos from Multiple Embodied Agents

FrankenMotion: Part-level Human Motion Generation and Composition

dVoting: Fast Voting for dLLMs

Progress measures for grokking via mechanistic interpretability

Attend Before Attention: Efficient and Scalable Video Understanding via Autoregressive Gazing

CARAFE: Content-Aware ReAssembly of FEatures

Long-term Temporal Convolutions for Action Recognition

A Survey on Neural Network Interpretability

NewsQA: A Machine Comprehension Dataset

AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science

Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition

Chronos: Learning the Language of Time Series

Efficient Neural Network Robustness Certification with General Activation Functions

From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator Ansatz

Time-Contrastive Networks: Self-Supervised Learning from Video

Grounding World Simulation Models in a Real-World Metropolis

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