Factor

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Period ending 2026-09-21

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  1. Measuring AI Leadership: Development and Validation of a Multidimensional Measure for AI-Native Organizations

    Sep 16, 2026Mustafa Akben, Leslie CoyneExploratory Factor AnalysisHuman Judgment

  2. What Makes a 3D Scene Editable? A Factorized Benchmark of Fidelity, Locality, Consistency, and Preservation

    Sep 14, 2026Sariah Patro, Arjun Mehra, Nikhil Bhatia3D EditingCharacter Fidelity

  3. FRAME: Factored Retrieval via Attribute Readouts for Object-Centric Scene Memory

    Sep 8, 2026Woosang Jeon, Sanghyeok Choi, Minwoo Kim +2Scene RepresentationLong-Term Conversational Memory

  4. GoAnt: Quality-Diversity Multi-Agent Search for Alpha Factor Discovery in Market Microstructure Data

    Sep 8, 2026Stella Zhao, Tommy ShaMarketExploratory Factor Analysis

  5. Evaluating Criterion-Conditioned Behaviour of Large Language Models in Content Moderation

    Sep 3, 2026Danting Zhang, Bei Peng, Robert LoftinContent ModerationLarge Language Model Evaluation

  6. Agentic Empirical Asset Pricing: Methodological Foundations

    Sep 1, 2026Yingjian Pan, Xiaowei Ding, Kay GieseckeAgentic EvaluationsExploratory Factor Analysis

  7. FaVOR: LLM-Based Agentic Framework for Factor Mining via Empirical Validation

    Aug 31, 2026Hyeonjin Kim, Minseok Kim, Seunghyeon Jung +3Exploratory Factor AnalysisFactor

  8. AQuA: Recursively Self-Improving Quantitative Trading Research Agents

    Aug 13, 2026Jiacheng Guo, Suozhi Huang, Yunlong Gao +4AutoresearchRecursive Self-Improvement

  9. When Is a General Factor Distinguishable? Non-Proportionality, Stable Structure, and the Bifactor Decision

    Aug 11, 2026Jinsong ChenExploratory Factor AnalysisFactor

  10. Rethinking Factor Sharing in Federated LoRA: A Rank-Aware Adaptive Approach

    Aug 10, 2026Xinyi Xu, Bingnan Xiao, Shuang Qin +2Low-Rank AdaptationFederated Learning

  11. Beyond Tier Labels: Role- and Deployment-Dependent Model Substitution in Multi-Call LLM Workflows

    Aug 10, 2026Renxiang Wang, Jiaming CuiLarge Language Model RoutingMulti-Agent Large Language Model Systems

  12. Exact Rank-Space KL Projection for Shared-Marginal Low-Rank Factors: Application to Doubly Stochastic Clustering

    Aug 9, 2026Enliang HuLow-Rank FactorizationProximal Gradient Descent

  13. Mixture of Geodesic Factor Analyzers on Riemannian Homogeneous Spaces

    Aug 7, 2026Hengchao Chen, Yuanyao Tan, Chao Huang +2Gaussian Mixture ModelsRiemannian Manifolds

  14. Support Operation Factorization: Compositional Readout of Frozen Vision Encoders under Controlled Interventions

    Aug 6, 2026Zhongyao Wang, Wanli Ouyang, Taoyong Cui +1ReadoutFactor

  15. Do Tabular Foundation Models Agree with Themselves?

    Aug 6, 2026Christian Klötergens, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme +1Tabular Foundation ModelsPosterior

  16. Marginal Matching Does Not License Factorized Sampling: Auditing Conditional Style Leakage in Factorized Generative Models

    Aug 5, 2026Duong Bach, Hai Nguyen Hong, Cuong DoGenerative ModelsConditional Distribution

  17. FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory

    Aug 5, 2026Zhuoran Zhang, Bowen Li, Jingcheng Ju +5Episodic MemoryReadout

  18. Cross-cultural evaluation of taste-sound correspondences in AI-generated music

    Aug 4, 2026Matteo Spanio, Massimiliano Zampini, Luisa Torri +5Cross-Cultural StudyMusic Generation

  19. Factorized AdaBoost.MH Achieves the Same Convergence Rate as AdaBoost.MH

    Aug 2, 2026Xin Zou, Jingyuan XuBinary ClassificationDecision Trees

  20. Feature Interaction Modeling for Neural Operators

    Jul 30, 2026Quan Gu, Xiaoduo Li, Hongxia LiuConventional Physics-Informed Neural NetworksPartial Differential Equations

  21. Developing and Validating the Spanish Version of the Large Language Models Dependency Scale (LLM-D12-SP)

    Jul 24, 2026Tran Gia Bao, Mo El-Haj, Sameha Al-Shakhsi +3PsychometricsLarge Language Model Reliability

  22. Causal dictionary learning reveals and validates transcription-factor binding features in genomic language models

    Jul 21, 2026Sarwan AliSpatial TranscriptomicsUnsupervised Dictionary Learning

  23. Unveiling Invariant and Transferable Latent Factors Across Heterogeneous Environments via ATLAS

    Jul 20, 2026Yihong Gu, Katherine Liao, Tianxi CaiLatent VariableCovariate Shift

  24. Learning in Infinitesimal Non-Compositional Sketches

    Jul 16, 2026Sridhar MahadevanSingular Learning TheorySketches

  25. Measuring How Students Rely on Generative AI in Academic Writing: Development and Multi-Source Validation of the Generative AI Reliance Types Scale (GenAI-RTS)

    Jul 15, 2026Shahin Hossain, Tukhbita Afroz NawmiArtificial Intelligence LiteracyAcademic Integrity

  26. From Global to Factor-Wise Expert Composition in Discrete Diffusion Models

    Jul 13, 2026Haozhe Huang, Yudong Xu, Abhijoy Mandal +1Discrete Diffusion ModelFactor

  27. WarpMPC: Large-Batch MPC on GPU via ADMM with Unrolled LDL⊤LDL^\top Factorization

    Jul 13, 2026Henrik Hose, Se Hwan Jeon, Charles Khazoom +2Quadratic ProgramsAlternating Direction Method Of Multiplier

  28. Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning

    Jul 10, 2026Edwin De Nicolo, Rahul Marchand, Cornelius Carlsson +2Multi-Agent Reinforcement LearningTuning

  29. Recovering Latent Structures after Variational Bayesian Variable Selection: Fit Assessment and Factor-Number Selection in Partially Exploratory Factor Analysis

    Jul 8, 2026Jinsong Chen, Yi JinExploratory Factor AnalysisModel Selection

  30. LLM-Guided Task-Semantic Field Factorization for Industrial Process Forecasting

    Jul 7, 2026Youcheng Zong, Runda Jia, Mingxuan Ren +1Predictive MaintenanceExploratory Factor Analysis

  31. Scalable Maximal Frequent Episode Mining with Desbordante

    Jul 3, 2026Maxim Ivanov, Matvei Smirnov, Alisa Strazdina +1Data MiningProfiling

  32. RePos: Relative-to-Absolute Output Factorization for Cross-Environment WiFi-Based 3D Human Pose Estimation

    Jul 3, 2026Zhangcheng Hou, Tomoaki Ohtsuki3D Pose EstimatorChannel State Information

  33. Direction-Magnitude Decomposition for Low-Rank Matrix Optimization: Faster Convergence and Saddle-to-saddle Dynamics

    Jun 30, 2026Yudong Wei, Liang Zhang, Bingcong Li +1Low-Rank FactorizationUniversal Factorization Problem

  34. The Joint Effect of Quantization and Sampling Temperature on LLM Safety Alignment: A Factorial Analysis

    Jun 28, 2026Hari Prasad, Ritam PalLarge Language Model SafetyLarge Language Model Quantization

  35. Perspectives on Latent Factor Indeterminacy and its Implications for Data Representation

    Jun 27, 2026Carel F. W. PeetersExploratory Factor AnalysisIntrinsic Dimensionality

  36. Output-Space Allocation Costs for Calibration-Guided LLM Compression: An Empirical Study

    Jun 26, 2026Qiong Tang, Xiangkun Hu, Xiangyang Liu +2Large Language Model CompressionContext Compression

  37. Mitigating LLM-based p-Hacking by Preregistering for the Next LLM

    Jun 26, 2026Maria Thomas, Kristina Gligoric, Nihar B. ShahLarge LanguageHacking

  38. From Signals to Transfer: A Factorised Study of Probe-Based Uncertainty Estimation in Large Language Models

    Jun 26, 2026Ponhvoan Srey, Xiaobao Wu, Cong-Duy Nguyen +3Large Language Model UncertaintyInput Uncertainties

  39. Revisiting Action Factorization for Complex Action Spaces

    Jun 25, 2026Timothy Flavin, Sandip SenAction SpaceUniversal Factorization Problem

  40. FactorLibrary: From Polynomials to Circuits via Recursive Subgoals

    Jun 24, 2026Rohan Pandey, Michael Ruofan Zeng, Weikun K. Zhang +5PolynomialsFactor

  41. Quant Convergence: Bridging Classical Value Investing and Modern Factor Models for Systematic Equity Selection

    Jun 23, 2026Augusto Eiji Yamazaki, Hugo Garrido-Lestache BelinchonStochastic VolatilityValue

  42. Stage-dependent integer-binary encoding in factorization-machine black-box optimization

    Jun 22, 2026Ryo Ogawa, Mayumi Nakano, Yuya Seki +1Black-Box OptimizationQuantum Approximate Optimization Algorithm

  43. PoLAR: Factorizing Extent and Mode in Latent Actions for Robot Policy Learning

    Jun 19, 2026Youngjoon Jeong, Jihwan Yu, Minsoo Jo +2Latent ActionsRobot Policies

  44. Attention is Just Another Name for Coupling? A Fast-Slow ODE Perspective on Hierarchical Pretraining

    Jun 15, 2026Zhengyuan GaoQuadratic AttentionModel Pretraining

  45. CacheMuon: Using Temporal Preconditioning To Approximate Polar Factor

    Jun 15, 2026Bishnu Dev, Sushil Bohara, Martin Takáč +1Muon OptimizerMuon

  46. Interpretable Factor Decomposition for Decision Intelligence in Large-Scale Financial Markets: Evidence from China's A-Share Market

    Jun 11, 2026Xiao Han, Yao Xiao, Zhen Zhang +1Exploratory Factor AnalysisMarket

  47. FACTR 2: Learning External Force Sensing for Commodity Robot Arms Improves Policy Learning

    Jun 10, 2026Steven Oh, Jason Jingzhou Liu, Tony Tao +5Ground Reaction ForcesRobotic Manipulation Policies

  48. GHOST: Hierarchical Sub-Goal Policies for Generalizing Robot Manipulation

    Jun 8, 2026Sriram Krishna, Ben Eisner, Haotian Zhan +5Generalizable Robotic ManipulationsVisuomotor Control

  49. Civil Court Simulation with Large Language Models

    Jun 8, 2026Yifan Chen, Haitao Li, Kaiyuan Zhang +3User SimulationExploratory Factor Analysis

  50. Improving Cross-Lingual Factual Recall via Consistency-Driven Reinforcement Learning

    Jun 4, 2026Jonathan von Rad, Louis Arts, George Burgess +6Multilingual DataCross-Lingual Consistency

  51. Non-Negative Matrix Factorization for Event Data

    Jun 4, 2026Raphaël RomeroNonnegative Matrix FactorizationDeterminantal Point Process

  52. Diff-CA: Separating Common and Salient Factors with Diffusion Models

    Jun 4, 2026Michaël Soumm, Alexandre Fournier Montgieux, Yunlong He +2Contrastive LearningGenerative Adversarial Network

  53. In-Context Graphical Inference

    Jun 3, 2026Zehua Cheng, Wei Dai, Jiahao SunProbabilistic InferenceBayesian

  54. Hyperparameter Learning for Latent Factorization of Tensors for Representation Learning to Large-scale Dynamic Weighted Directed Network

    Jun 3, 2026Yaqian Zhan, Jialan He, Tianzhu ChenHyperparameter OptimizationModel Weights

  55. CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations

    Jun 1, 2026Chengfeng Wu, Tao Zou, Yanru Wu +1Multi--Task LearningCausal Representation Learning

  56. World-Task Factorization for Robot Learning

    Jun 1, 2026Eduardo Sebastián, Adrian Pfisterer, Vito Mengers +2RoboticsWorld Models

  57. Beyond Low-Rank: Low-Rank Sparse Prompting via Spiking Neural Network and Prompt Factorization

    Jun 1, 2026Yumiao Zhao, Bo Jiang, Beibei Wang +3Visual In-Context LearningLow-Rank Adaptation

  58. Post-Training Recipe, More Than Model Family, Shapes Multi-Agent LLM Conversational Behavior

    May 30, 2026Luyang Zhang, Jialu Wang, Fei Xue +1LLM Post-Training MethodsText Corpora

  59. What drives performance in molecular MPNNs? An operator-level factorial benchmark

    May 28, 2026Panyu Jiao, Shuizhou Chen, Yiheng Shen +3Message Passing Neural NetworksMolecular Property Prediction

  60. Practitioner Beliefs and Behaviors in AI-Enhanced Education: DOT Framework Survey Evidence

    May 27, 2026David Gibson, M. Elizabeth Azukas, Gerald KnezekArtificial Intelligence LiteracyPedagogy