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)
1 to 60 of 61,172
Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning
Yang Zou, Zhikun Zhang, Michael Backes +1
cs.CRcs.LGstat.MLarXiv:2009.04872v12020Linear attention is (maybe) all you need (to understand transformer optimization)
Kwangjun Ahn, Xiang Cheng, Minhak Song +3
cs.LGcs.AImath.OCarXiv:2310.01082v22023Fine-tune Bert for DocRED with Two-step Process
Hong Wang, Christfried Focke, Rob Sylvester +2
cs.CLarXiv:1909.11898v12019HABERTOR: An Efficient and Effective Deep Hatespeech Detector
Thanh Tran, Yifan Hu, Changwei Hu +4
cs.CLcs.AIcs.IRarXiv:2010.08865v12020Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models
Yongding Tao, Tian Wang, Yihong Dong +4
cs.CLcs.AIcs.LGarXiv:2510.09259v22025Topological Quantum Distillation
H. Bombin, M. A. Martin-Delgado
quant-phcond-mat.str-elhep-tharXiv:quant-ph/0605138v32006LLMs as Scalable, General-Purpose Simulators For Evolving Digital Agent Training
Yiming Wang, Da Yin, Yuedong Cui +8
cs.CLcs.AIcs.LGarXiv:2510.14969v12025Gradient Boosting on Stochastic Data Streams
Hanzhang Hu, Wen Sun, Arun Venkatraman +2
cs.LGarXiv:1703.00377v12017VIVA: VLM-Guided Instruction-Based Video Editing with Reward Optimization
Xiaoyan Cong, Haotian Yang, Angtian Wang +4
cs.CVarXiv:2512.16906v12025An Online Boosting Algorithm with Theoretical Justifications
Shang-Tse Chen, Hsuan-Tien Lin, Chi-Jen Lu
cs.LGstat.MLarXiv:1206.6422v12012Decoupling Magnitude and Phase Estimation with Deep ResUNet for Music Source Separation
Qiuqiang Kong, Yin Cao, Haohe Liu +2
cs.SDeess.ASarXiv:2109.05418v12021Counterfactual reasoning: Testing language models' understanding of hypothetical scenarios
Jiaxuan Li, Lang Yu, Allyson Ettinger
cs.CLarXiv:2305.16572v12023MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition
Yuhuan Yang, Chaofan Ma, Zhenjie Mao +3
cs.CVarXiv:2506.23283v12025Users really do respond to smishing
Muhammad Lutfor Rahman, Daniel Timko, Hamid Wali +1
cs.CRarXiv:2212.13312v12022Agentic Knowledgeable Self-awareness
Shuofei Qiao, Zhisong Qiu, Baochang Ren +8
cs.CLcs.AIcs.CVarXiv:2504.03553v22025The Pinnacle Architecture: Reducing the cost of breaking RSA-2048 to 100 000 physical qubits using quantum LDPC codes
Paul Webster, Lucas Berent, Omprakash Chandra +5
quant-pharXiv:2602.11457v12026Training Neural Speech Recognition Systems with Synthetic Speech Augmentation
Jason Li, Ravi Gadde, Boris Ginsburg +1
cs.CLcs.LGcs.SDarXiv:1811.00707v12018SSumM: Sparse Summarization of Massive Graphs
Kyuhan Lee, Hyeonsoo Jo, Jihoon Ko +2
cs.DBcs.SIarXiv:2006.01060v42020UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces
Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao +4
cs.ETcs.AIcs.LGarXiv:2411.03859v32024End-To-End Memory Networks
Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston +1
cs.NEcs.CLarXiv:1503.08895v52015Finding Generalizable Evidence by Learning to Convince Q&A Models
Ethan Perez, Siddharth Karamcheti, Rob Fergus +3
cs.CLcs.AIcs.IRarXiv:1909.05863v12019Keyword search is all you need: Achieving RAG-Level Performance without vector databases using agentic tool use
Shreyas Subramanian, Adewale Akinfaderin, Yanyan Zhang +4
cs.IRcs.AIarXiv:2602.23368v12025Relevant sparse codes with variational information bottleneck
Matthew Chalk, Olivier Marre, Gasper Tkacik
stat.MLarXiv:1605.07332v22016MASC: Multi-scale Affinity with Sparse Convolution for 3D Instance Segmentation
Chen Liu, Yasutaka Furukawa
cs.CVarXiv:1902.04478v12019AdaCoSeg: Adaptive Shape Co-Segmentation with Group Consistency Loss
Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri +3
cs.CVcs.GRarXiv:1903.10297v52019Least Angle Regression
Bradley Efron, Trevor Hastie, Iain Johnstone +1
math.STarXiv:math/0406456v22004PointRNN: Point Recurrent Neural Network for Moving Point Cloud Processing
Hehe Fan, Yi Yang
cs.CVarXiv:1910.08287v22019LSANet: Feature Learning on Point Sets by Local Spatial Aware Layer
Lin-Zhuo Chen, Xuan-Yi Li, Deng-Ping Fan +3
cs.CVarXiv:1905.05442v32019Plan-over-Graph: Towards Parallelable LLM Agent Schedule
Shiqi Zhang, Xinbei Ma, Zouying Cao +2
cs.AIarXiv:2502.14563v12025Exploring Content Selection in Summarization of Novel Chapters
Faisal Ladhak, Bryan Li, Yaser Al-Onaizan +1
cs.CLarXiv:2005.01840v32020Hi-Fi Multi-Speaker English TTS Dataset
Evelina Bakhturina, Vitaly Lavrukhin, Boris Ginsburg +1
eess.ASarXiv:2104.01497v32021The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis
Zihao Wei, Liang Pang, Jiahao Liu +7
cs.CLcs.AIarXiv:2508.17627v22025AutoLike: Auditing Social Media Recommendations through User Interactions
Hieu Le, Salma Elmalaki, Zubair Shafiq +1
cs.LGarXiv:2502.08933v12025Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach
Nguyen Quang Hieu, Tran The Anh, Nguyen Cong Luong +3
cs.LGcs.DCcs.NIarXiv:2004.04104v22020Diving Deep into Modes of Fact Hallucinations in Dialogue Systems
Souvik Das, Sougata Saha, Rohini K. Srihari
cs.CLcs.AIarXiv:2301.04449v12023Intern-S1: A Scientific Multimodal Foundation Model
Lei Bai, Zhongrui Cai, Yuhang Cao +174
cs.LGcs.CLcs.CVarXiv:2508.15763v22025High Dimensional Covariance Matrix Estimation Using a Factor Model
Jianqing Fan, Yingying Fan, Jinchi Lv
math.STstat.THarXiv:math/0701124v12007Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches
Vincenzo Lomonaco, Davide Maltoni, Lorenzo Pellegrini
cs.LGcs.CVcs.NEarXiv:1907.03799v32019Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers
Krzysztof Choromanski, Valerii Likhosherstov, David Dohan +8
cs.LGcs.CLstat.MLarXiv:2006.03555v32020JAFAR: Jack up Any Feature at Any Resolution
Paul Couairon, Loick Chambon, Louis Serrano +3
cs.CVeess.IVarXiv:2506.11136v32025TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching
Yue Meng, Chuchu Fan
cs.ROcs.AIcs.FLarXiv:2505.00562v12025GRAPE: Generalizing Robot Policy via Preference Alignment
Zijian Zhang, Kaiyuan Zheng, Zhaorun Chen +7
cs.ROcs.CVcs.LGarXiv:2411.19309v22024Vision-Language-Action Safety: Threats, Challenges, Evaluations, and Mechanisms
Qi Li, Bo Yin, Weiqi Huang +6
cs.ROarXiv:2604.23775v22026Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning
Dylan J. Foster, Adam Block, Dipendra Misra
cs.LGcs.AImath.STarXiv:2407.15007v22024Seeing Beyond Words: Self-Supervised Visual Learning for Multimodal Large Language Models
Davide Caffagni, Sara Sarto, Marcella Cornia +5
cs.CVcs.AIcs.CLarXiv:2512.15885v12025Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective
Zihao Yue, Liang Zhang, Qin Jin
cs.CLcs.CVarXiv:2402.14545v22024Predictive Concept Decoders: Training Scalable End-to-End Interpretability Assistants
Vincent Huang, Dami Choi, Daniel D. Johnson +2
cs.AIcs.CLcs.LGarXiv:2512.15712v12025Building Better Activation Oracles
Jan Bauer, Celeste De Schamphelaere, Adam Karvonen +2
cs.LGcs.AIarXiv:2606.02609v22026Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation Explainers
Adam Karvonen, James Chua, Clément Dumas +8
cs.CLcs.AIcs.LGarXiv:2512.15674v22025Universal Activation Verbalizer: A Unified Framework for Cross-Model Activation Explanation
Haiyan Zhao, Zirui He, Guanchu Wang +3
cs.CLcs.LGarXiv:2605.25903v22026WenetSpeech-Chuan: A Large-Scale Sichuanese Corpus with Rich Annotation for Dialectal Speech Processing
Yuhang Dai, Ziyu Zhang, Shuai Wang +13
cs.CLcs.SDarXiv:2509.18004v12025Generating Images Part by Part with Composite Generative Adversarial Networks
Hanock Kwak, Byoung-Tak Zhang
cs.AIcs.CVcs.LGarXiv:1607.05387v22016WenetSpeech-Yue: A Large-scale Cantonese Speech Corpus with Multi-dimensional Annotation
Longhao Li, Zhao Guo, Hongjie Chen +15
cs.SDarXiv:2509.03959v22025Owl Eyes: Spotting UI Display Issues via Visual Understanding
Zhe Liu, Chunyang Chen, Junjie Wang +3
cs.SEarXiv:2009.01417v22020Fun-ASR Technical Report
Keyu An, Yanni Chen, Zhigao Chen +35
cs.CLcs.AIcs.SDarXiv:2509.12508v42025Incremental Lossless Graph Summarization
Jihoon Ko, Yunbum Kook, Kijung Shin
cs.DBcs.SIarXiv:2006.09935v12020Matching Normalizing Flows and Probability Paths on Manifolds
Heli Ben-Hamu, Samuel Cohen, Joey Bose +5
stat.MLcs.LGarXiv:2207.04711v12022Interscript: A dataset for interactive learning of scripts through error feedback
Niket Tandon, Aman Madaan, Peter Clark +2
cs.AIarXiv:2112.07867v22021ArtVIP: Articulated Digital Assets of Visual Realism, Modular Interaction, and Physical Fidelity for Robot Learning
Zhao Jin, Zhengping Che, Tao Li +10
cs.ROarXiv:2506.04941v32025Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI
Julien Pourcel, Cédric Colas, Pierre-Yves Oudeyer
cs.LGcs.AIcs.NEarXiv:2507.14172v22025