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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3,601 to 3,660 of 61,271

  1. Large Language Model Hacking: Quantifying the Hidden Risks of Using LLMs for Text Annotation

    Joachim Baumann, Paul Röttger, Aleksandra Urman +4

    cs.CLcs.AIcs.LGarXiv:2509.08825v22025
  2. ORCH: Organizational Principles Enable Collective Intelligence in Embodied AI

    Zhengran Ji, Jonathan Hyun, Boyuan Chen

    cs.MAcs.AIcs.LGarXiv:2609.11737v12026
  3. Step-GUI Technical Report

    Haolong Yan, Jia Wang, Xin Huang +96

    cs.CVarXiv:2512.15431v22025
  4. Building py-kvcache: A Performance Characterization of External KV Caching for vLLM with NVMe SSDs

    Joseph Kanichai, Tiziano De Matteis, Animesh Trivedi

    cs.DCcs.LGarXiv:2609.11744v12026
  5. OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling

    Yang Zhou, Yifan Wang, Jianjun Zhou +16

    cs.CVarXiv:2509.12201v22025
  6. Logit Refiner: Improving Visual Autoregressive Models via Intra-Scale Dependency Modeling

    Meimingwei Li, Stefan Andreas Baumann, Felix Krause +1

    cs.CVcs.AIcs.LGarXiv:2609.11804v12026
  7. Differentially Private EEG Feature Anonymization: A Privacy-Utility Case Study in Clinical Neurophysiology

    Noman Sadiq, Mohsen Toorani

    cs.CRcs.LGeess.SParXiv:2609.11777v12026
  8. Sparsity Regularized and Robust Mean Variance Portfolio Selection Under Ellipsoidal Uncertainty

    Deniz Akkaya, Emre Can Yayla, Buse Şen +1

    math.OCcs.LGstat.MLarXiv:2609.11749v12026
  9. Automatic reconstruction of fully volumetric 3D building models from point clouds

    Sebastian Ochmann, Richard Vock, Reinhard Klein

    cs.GRarXiv:1907.00631v12019
  10. A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation

    Jiteng Mu, Weichao Qiu, Adam Kortylewski +3

    cs.CVarXiv:2104.07645v12021
  11. Plex: Towards Reliability using Pretrained Large Model Extensions

    Dustin Tran, Jeremiah Liu, Michael W. Dusenberry +23

    cs.LGstat.MLarXiv:2207.07411v12022
  12. Bayesian Graph Neural Networks with Adaptive Connection Sampling

    Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki +4

    cs.LGstat.MLarXiv:2006.04064v32020
  13. AMO-Bench: Large Language Models Still Struggle in High School Math Competitions

    Shengnan An, Xunliang Cai, Xuezhi Cao +8

    cs.CLcs.AIarXiv:2510.26768v12025
  14. UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning

    Tiancheng Gu, Kaicheng Yang, Kaichen Zhang +6

    cs.CVcs.AIarXiv:2510.13515v32025
  15. You Only Cache Once: Decoder-Decoder Architectures for Language Models

    Yutao Sun, Li Dong, Yi Zhu +6

    cs.CLarXiv:2405.05254v22024
  16. HORNET: High-speed Onion Routing at the Network Layer

    Chen Chen, Daniele Enrico Asoni, David Barrera +2

    cs.CRarXiv:1507.05724v32015
  17. Geospatial Foundation Models Capture Health-Relevant Dimensions of Place Beyond Conventional Social Risk Indices

    Nathaniel Hendrix, Carl Y. Zhang, Chris Heitzig +2

    stat.APcs.LGarXiv:2609.11689v12026
  18. CompostBin: A DNA composition-based algorithm for binning environmental shotgun reads

    Sourav Chatterji, Ichitaro Yamazaki, Zhaojun Bai +1

    q-bio.GNarXiv:0708.3098v12007
  19. Learning structural balance of graphs from quantum spectral features

    Stefano Scali, Oleksandr Kyriienko

    quant-phcond-mat.dis-nncs.LGarXiv:2609.11736v12026
  20. SAM Audio: Segment Anything in Audio

    Bowen Shi, Andros Tjandra, John Hoffman +11

    eess.AScs.CVarXiv:2512.18099v12025
  21. Generalization Analysis of Distributed Kernel-based Robust Gradient Descent Algorithms

    Jun-Yi Meng, Zheng-Chu Guo, Yuan Mao

    stat.MLcs.LGmath.OAarXiv:2609.11712v12026
  22. Evaluating Gemini Robotics Policies in a Veo World Simulator

    Gemini Robotics Team, Krzysztof Choromanski, Coline Devin +20

    cs.ROcs.AIcs.CVarXiv:2512.10675v22025
  23. Delay Reduction via Lagrange Multipliers in Stochastic Network Optimization

    Longbo Huang, Michael J. Neely

    math.OCarXiv:0904.3795v12009
  24. JustRL: Scaling a 1.5B LLM with a Simple RL Recipe

    Bingxiang He, Zekai Qu, Zeyuan Liu +9

    cs.CLarXiv:2512.16649v12025
  25. Reflex-Informed Neuromuscular Reinforcement Learning for Muscle-Driven Locomotion

    Jian Zhou, Xingyu Zhang, Rui Ma +3

    cs.ROcs.GRcs.LGarXiv:2609.11733v12026
  26. Dream2Flow: Bridging Video Generation and Open-World Manipulation with 3D Object Flow

    Karthik Dharmarajan, Wenlong Huang, Jiajun Wu +2

    cs.ROcs.AIcs.CVarXiv:2512.24766v12025
  27. Causal Network Inference via Group Sparse Regularization

    Andrew Bolstad, Barry Van Veen, Robert Nowak

    stat.MLarXiv:1106.0762v12011
  28. HuMo: Human-Centric Video Generation via Collaborative Multi-Modal Conditioning

    Liyang Chen, Tianxiang Ma, Jiawei Liu +7

    cs.CVcs.MMarXiv:2509.08519v12025
  29. Multimodal Taxonomic Conditioning for Generative Plankton Imagery

    Daniela Ivanova, Ozgu Goksu, Nicolas Pugeault

    cs.CVcs.LGarXiv:2609.11673v12026
  30. VeRO: A Harness for Agents to Optimize Agents

    Varun Ursekar, Apaar Shanker, Veronica Chatrath +2

    cs.AIcs.CLcs.LGarXiv:2602.22480v42026
  31. Harness VLA: Steering Frozen VLAs into Reliable Manipulation Primitives via Memory-Guided Agents

    Yixian Zhang, Huanming Zhang, Feng Gao +13

    cs.ROarXiv:2607.08448v42026
  32. Learning to design drug-like molecules in three-dimensional space using deep generative models

    Yibo Li, Jianfeng Pei, Luhua Lai

    q-bio.QMcs.LGarXiv:2104.08474v12021
  33. Can LLMs Beat Classical Hyperparameter Optimization Algorithms? A Study on autoresearch

    Fabio Ferreira, Lucca Wobbe, Arjun Krishnakumar +2

    cs.LGstat.MLarXiv:2603.24647v52026
  34. Vidu S2: Real-Time Interactive, Editable, and Spatial Video Generation

    Jintao Zhang, Kai Jiang, Jintao Chen +32

    cs.CVcs.LGarXiv:2609.11638v12026
  35. ZipCodec: Ultra-Low-Frame-Rate Streaming Speech Coding

    Luca Della Libera, Cem Subakan, Mirco Ravanelli

    cs.SDcs.AIcs.LGarXiv:2609.11642v12026
  36. Great Models Think Alike and this Undermines AI Oversight

    Shashwat Goel, Joschka Struber, Ilze Amanda Auzina +6

    cs.LGcs.AIcs.CLarXiv:2502.04313v22025
  37. WebInject: Prompt Injection Attack to Web Agents

    Xilong Wang, John Bloch, Zedian Shao +3

    cs.LGcs.AIcs.CLarXiv:2505.11717v42025
  38. Distributed Optimization of Modular Production Systems using Model-based Reinforcement Learning with Inverse Models

    Andreas Schwung, Steve Yuwono, Sofiene Lassoued +1

    cs.AIcs.LGeess.SYarXiv:2609.11615v12026
  39. Identifiability of Nonnegative Tensor Decompositions via Positive Scattering

    Haoming Wang, Ming Yuan

    stat.MLcs.LGmath.COarXiv:2609.11606v12026
  40. A distribution-free certification framework for trustworthy crash-severity prediction

    Amir Rafe, Subasish Das

    stat.MLcs.LGarXiv:2609.11592v12026
  41. Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach

    William Lotter, Abdul Rahman Diab, Bryan Haslam +10

    eess.IVcs.CVcs.LGarXiv:1912.11027v22019
  42. Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation

    Jakob Mokander, Maria Axente, Federico Casolari +1

    cs.CYcs.AIarXiv:2111.05071v12021
  43. Crypto Wash Trading

    Lin William Cong, Xi Li, Ke Tang +1

    econ.GNarXiv:2108.10984v12021
  44. AdaCliP: Adaptive Clipping for Private SGD

    Venkatadheeraj Pichapati, Ananda Theertha Suresh, Felix X. Yu +2

    cs.LGcs.CRstat.MLarXiv:1908.07643v22019
  45. Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach

    Yue Yu, Simiao Zuo, Haoming Jiang +3

    cs.CLcs.LGarXiv:2010.07835v32020
  46. ExGRPO: Learning to Reason from Experience

    Runzhe Zhan, Yafu Li, Zhi Wang +5

    cs.LGcs.AIcs.CLarXiv:2510.02245v22025
  47. UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings

    Zhibin Lan, Liqiang Niu, Fandong Meng +2

    cs.LGcs.AIarXiv:2511.00405v22025
  48. FineVision: Open Data Is All You Need

    Luis Wiedmann, Orr Zohar, Amir Mahla +6

    cs.CVcs.AIarXiv:2510.17269v22025
  49. Published Unlearning Numbers Move Per Checkpoint, and Not Because the Removed Data Survives: An Audit of 263 Released Batch-Normalized Checkpoints

    Junlong Shen Xingyu Li

    cs.AIcs.LGarXiv:2609.11490v12026
  50. Breaking the Central Bias: Spatially Partitioned Experts for Coordinate-Based Neuroevolution

    Romain Claret, Arthur Gygax, Michael O'Neill +3

    cs.NEcs.CVcs.LGarXiv:2609.11518v12026
  51. Cloud Forensics: A Meta-Study of Challenges, Approaches, and Open Problems

    Shams Zawoad, Ragib Hasan

    cs.DCcs.CRarXiv:1302.6312v12013
  52. Enabling Knowledge Graph Understanding at Scale with the EXplore Your Graphs ENgine (EXYGEN)

    Harshdeep Singh, Yurui Zhu, Giovanni Colavizza +1

    cs.AIcs.LGarXiv:2609.11569v12026
  53. Risk-Averse Decision Making with Multi-Level Reliability Guarantees

    Amirmohammad Farzaneh, Osvaldo Simeone

    stat.MLcs.ITcs.LGarXiv:2609.11524v12026
  54. The Path Not Taken: RLVR Provably Learns Off the Principals

    Hanqing Zhu, Zhenyu Zhang, Hanxian Huang +11

    cs.LGcs.AIarXiv:2511.08567v12025
  55. Guiding High-Performance SAT Solvers with Unsat-Core Predictions

    Daniel Selsam, Nikolaj Bjørner

    cs.NEarXiv:1903.04671v72019
  56. Hologram Representation via Quadratic Phase Gaussian Splatting

    Haolong Wang, Yicheng Zhan, Kaan Akşit +1

    cs.GRcs.CVcs.LGarXiv:2609.11434v12026
  57. Think with 3D: Geometric Imagination Grounded Spatial Reasoning from Limited Views

    Zhangquan Chen, Manyuan Zhang, Xinlei Yu +8

    cs.CVcs.AIarXiv:2510.18632v42025
  58. PRESS: A Novel Framework of Trajectory Compression in Road Networks

    Renchu Song, Weiwei Sun, Baihua Zheng +1

    cs.DBarXiv:1402.1546v12014
  59. Improved 8-point Approximate DCT for Image and Video Compression Requiring Only 14 Additions

    U. S. Potluri, A. Madanayake, R. J. Cintra +3

    cs.MMcs.CVmath.NAarXiv:1501.02995v12015
  60. Deep operator learning for efficient sampling from invariant measures of stochastic differential equations

    Ling Guo, Lei Li, Jingtong Zhang

    math.NAcs.LGarXiv:2609.11376v12026