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)
54,541 to 54,600 of 117,580
CGPT: Cluster-Guided Partial Tables with LLM-Generated Supervision for Table Retrieval
Tsung-Hsiang Chou, Chen-Jui Yu, Shui-Hsiang Hsu +1
cs.IRarXiv:2601.15849v12026Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction
Osama Makansi, Eddy Ilg, Özgün Cicek +1
cs.CVarXiv:1906.03631v22019Playing Along: Learning a Double-Agent Defender for Belief Steering via Theory of Mind
Hanqi Xiao, Vaidehi Patil, Zaid Khan +3
cs.CLcs.AIcs.LGarXiv:2604.11666v22026SLATE: Are AI-Generated Slides Educationally Effective? A Benchmark for Language Teaching Quality and Learner Knowledge Acquisition
Jingzhuo Wu, Jiajun Zhang, Liu Yi +4
cs.CLarXiv:2609.06212v12026Fine-grained Image Classification by Exploring Bipartite-Graph Labels
Feng Zhou, Yuanqing Lin
cs.CVarXiv:1512.02665v22015Linear-Quadratic $N$-person and Mean-Field Games with Ergodic Cost
Martino Bardi, Fabio S. Priuli
math.APmath.OCarXiv:1401.1421v22014Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection
Deepak Babu Sam, Skand Vishwanath Peri, Mukuntha Narayanan Sundararaman +2
cs.CVarXiv:1906.07538v32019Finding Tree-Like Substructures in Phylogenetic Networks: ILP Approaches and Their Application
Takatora Suzuki
q-bio.PEcs.DMarXiv:2608.28659v12026Derivative-based global sensitivity measures: general links with Sobol' indices and numerical tests
Matieyendou Lamboni, Bertrand Iooss, Anne-Laure Popelin +1
math.STstat.THarXiv:1202.0943v22012Conservative two-stage group testing in the linear regime
Matthew Aldridge
stat.APcs.ITmath.ITarXiv:2005.06617v22020Self-Taught Hashing for Fast Similarity Search
Dell Zhang, Jun Wang, Deng Cai +1
cs.IRarXiv:1004.5370v12010CryptoDL: Deep Neural Networks over Encrypted Data
Ehsan Hesamifard, Hassan Takabi, Mehdi Ghasemi
cs.CRcs.LGarXiv:1711.05189v12017Power laws in citation distributions: Evidence from Scopus
Michal Brzezinski
cs.DLphysics.soc-phstat.AParXiv:1402.3890v12014ChordEdit: One-Step Low-Energy Transport for Image Editing
Liangsi Lu, Xuhang Chen, Minzhe Guo +3
cs.CVarXiv:2602.19083v22026Beyond the Final Embedding: Retrieving Memories from Token-Level Evidence
Han Luo, Zhan Zhuang, Xu He +5
cs.IRcs.CLarXiv:2610.13277v12026Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs
Hongyu Ren, Jure Leskovec
cs.AIcs.DBcs.LGarXiv:2010.11465v12020Robustness Verification for Transformers
Zhouxing Shi, Huan Zhang, Kai-Wei Chang +2
cs.LGstat.MLarXiv:2002.06622v22020Learning to Detect
Neev Samuel, Tzvi Diskin, Ami Wiesel
cs.ITcs.LGstat.MLarXiv:1805.07631v12018Quantifying performance bottlenecks of stencil computations using the Execution-Cache-Memory model
Holger Stengel, Jan Treibig, Georg Hager +1
cs.PFcs.DCarXiv:1410.5010v22014Task Contamination: Language Models May Not Be Few-Shot Anymore
Changmao Li, Jeffrey Flanigan
cs.CLarXiv:2312.16337v12023MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
Di Wang, Jing Zhang, Minqiang Xu +8
cs.CVarXiv:2403.13430v22024Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark
Jiaming Ji, Borong Zhang, Jiayi Zhou +7
cs.AIcs.LGarXiv:2310.12567v32023The Safeguard Worked. Is the LLM System Safer?
Pingyu Wu, Weiming Zhang, Nenghai Yu
cs.CRcs.AIarXiv:2609.00519v12026Generative Adversarial Network for Abstractive Text Summarization
Linqing Liu, Yao Lu, Min Yang +3
cs.CLcs.AIarXiv:1711.09357v12017Multilingual Neural Machine Translation with Knowledge Distillation
Xu Tan, Yi Ren, Di He +3
cs.CLarXiv:1902.10461v32019Human heuristics for AI-generated language are flawed
Maurice Jakesch, Jeffrey Hancock, Mor Naaman
cs.CLcs.AIcs.CYarXiv:2206.07271v42022GenSim: Generating Robotic Simulation Tasks via Large Language Models
Lirui Wang, Yiyang Ling, Zhecheng Yuan +6
cs.LGcs.CLcs.CVarXiv:2310.01361v22023Coverage Characterization of STAR-RIS Networks: NOMA and OMA
Chenyu Wu, Yuanwei Liu, Xidong Mu +2
eess.SParXiv:2104.10006v12021A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation
Jiteng Mu, Weichao Qiu, Adam Kortylewski +3
cs.CVarXiv:2104.07645v12021Dijet resonance search with weak supervision using $\sqrt{s}=13$ TeV $pp$ collisions in the ATLAS detector
ATLAS Collaboration
hep-exarXiv:2005.02983v22020A Deeper Look at Facial Expression Dataset Bias
Shan Li, Weihong Deng
cs.CVarXiv:1904.11150v12019fairseq S2T: Fast Speech-to-Text Modeling with fairseq
Changhan Wang, Yun Tang, Xutai Ma +4
cs.CLeess.ASarXiv:2010.05171v22020NL-EDIT: Correcting semantic parse errors through natural language interaction
Ahmed Elgohary, Christopher Meek, Matthew Richardson +3
cs.CLarXiv:2103.14540v12021Generative Multi-hop Retrieval
Hyunji Lee, Sohee Yang, Hanseok Oh +1
cs.IRarXiv:2204.13596v32022Finding Action Tubes
Georgia Gkioxari, Jitendra Malik
cs.CVarXiv:1411.6031v12014Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge Enhancement
Hui Liu, Wenya Wang, Haoliang Li
cs.CLarXiv:2210.03501v22022MiraMind: Benchmarking Reliable Mental Health Reasoning beyond Answer Accuracy
Mengxi Xiao, Kailai Yang, Pengde Zhao +12
cs.CLarXiv:2512.09636v32025RES: Regularized Stochastic BFGS Algorithm
Aryan Mokhtari, Alejandro Ribeiro
cs.LGmath.OCstat.MLarXiv:1401.7625v12014A Note on Shumailov et al. (2024): `AI Models Collapse When Trained on Recursively Generated Data'
Ali Borji
cs.LGcs.AIarXiv:2410.12954v22024MEOM: Multi-View Expected-OKS Maximization for Human Pose Triangulation
Ziliang Xiong, Henglin Shi, Per-Erik Forssen
cs.CVarXiv:2608.30521v12026MASCing: Configurable Mixture-of-Experts Behavior via Activation Steering Masks
Jona te Lintelo, Lichao Wu, Marina Krček +2
cs.CRarXiv:2604.27818v12026Learning Active Learning from Data
Ksenia Konyushkova, Raphael Sznitman, Pascal Fua
cs.LGarXiv:1703.03365v32017Video Salient Object Detection via Fully Convolutional Networks
Wenguan Wang, Jianbing Shen, Ling Shao
cs.CVarXiv:1702.00871v32017Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World
Laura Smith, J. Chase Kew, Xue Bin Peng +3
cs.ROarXiv:2110.05457v12021N-ary Relation Extraction using Graph State LSTM
Linfeng Song, Yue Zhang, Zhiguo Wang +1
cs.CLarXiv:1808.09101v12018Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims
Sihao Chen, Daniel Khashabi, Wenpeng Yin +2
cs.CLarXiv:1906.03538v12019Unveiling the Compositional Ability Gap in Vision-Language Reasoning Model
Tianle Li, Jihai Zhang, Yongming Rao +1
cs.AIarXiv:2505.19406v12025Retrieval Augmentation Reduces Hallucination in Conversation
Kurt Shuster, Spencer Poff, Moya Chen +2
cs.CLcs.AIarXiv:2104.07567v12021A Comprehensive Survey on Word Representation Models: From Classical to State-Of-The-Art Word Representation Language Models
Usman Naseem, Imran Razzak, Shah Khalid Khan +1
cs.CLarXiv:2010.15036v12020Quantum annealing versus classical machine learning applied to a simplified computational biology problem
Richard Y. Li, Rosa Di Felice, Remo Rohs +1
quant-phq-bio.GNarXiv:1803.00135v12018Zero-Shot Entity Linking by Reading Entity Descriptions
Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee +3
cs.CLcs.LGarXiv:1906.07348v12019An LLM-Associated Register Shift in Korean Journal Abstracts: A Morphology-Aware Excess-Vocabulary Study, 2018-2026
Aron Lee
cs.CLcs.DLarXiv:2609.07447v12026Dirac-type nodal spin liquid revealed by refined quantum many-body solver using neural-network wave function, correlation ratio, and level spectroscopy
Yusuke Nomura, Masatoshi Imada
cond-mat.str-elcond-mat.dis-nncond-mat.stat-mecharXiv:2005.14142v62020Ranking and combining multiple predictors without labeled data
Fabio Parisi, Francesco Strino, Boaz Nadler +1
stat.MLcs.LGarXiv:1303.3257v32013Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts
Shafin Rahman, Salman Khan, Fatih Porikli
cs.CVarXiv:1803.06049v12018Developing Real-time Streaming Transformer Transducer for Speech Recognition on Large-scale Dataset
Xie Chen, Yu Wu, Zhenghao Wang +2
cs.CLeess.ASarXiv:2010.11395v32020SelFlow: Self-Supervised Learning of Optical Flow
Pengpeng Liu, Michael Lyu, Irwin King +1
cs.CVcs.LGarXiv:1904.09117v12019ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems
Ernest K. Ryu, Kun Yuan, Wotao Yin
cs.LGstat.MLarXiv:1905.10899v32019Adaptive Universal Generalized PageRank Graph Neural Network
Eli Chien, Jianhao Peng, Pan Li +1
cs.LGstat.MLarXiv:2006.07988v62020VisDA: The Visual Domain Adaptation Challenge
Xingchao Peng, Ben Usman, Neela Kaushik +3
cs.CVarXiv:1710.06924v22017