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15 papers in the last four weeks, up 275% on the four weeks before. 0.1% of all new papers.

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  1. Beyond Decodability: Do Acoustic Factors Drive Predictions in Speech-Based Alzheimer's Assessment?

    Oct 1, 2026Serli Kopar, Alkis Koudounas, Roshan P. Rane +3AcousticAlzheimer

    Hertie Institute for AI in Brain Health, Germany · Tübingen AI Center, Germany · Sony Group Corporation, Japan +1

  2. How the Audit Rule Shapes Faithful Factor Explanations in LLMs

    Oct 1, 2026Taolin Zhang, Hanyu Wang, Jiuheng Wan +2Model AuditingLarge Language Model Reliability

    Hefei University of Technology · East China Normal University · Alibaba Cloud Computing

  3. Signal-Noise Factorization Isolates Nuisance Variation into Removable Subspaces

    Sep 30, 2026Sakin Kirti, Joel ZylberbergRegularizationSubspace

    Bioinformatics IDP, Jules Stein Eye Institute University of California, Los Angeles Los Angeles, CA 90095, USA · Jules Stein Eye Institute University of California, Los Angeles Los Angeles, CA, 90095, USA

  4. FactorEngram: Factorized N-gram Memory with Basis-Level Gating for Language Models

    Sep 28, 2026Bowen Yang, Jingbo Zhou, Qinghong Miao +1Unigram TokenizerLarge Language Model Memory

    Large Model Frontier Research Department, Baidu Inc., China · Nanyang Technological University

  5. From Search to Research: Exploring Search Scaling in Autonomous Quantitative Factor Mining

    Sep 28, 2026Kangcheng Deng, Hui Cai, Jiacheng Lu +6Research AutomationSequential Scaling

    StepFun · Shanghai Jiao Tong University · University of California, Los Angeles +1

  6. Retrieval-Augmented Diffusion Modeling for Stochastic Discount Factor Portfolios

    Sep 28, 2026Kelvin J. L. Koa, Xinyang Li, Ke-Wei HuangPortfolio OptimizationStochastic Differential Equations

    National University of Singapore Asian Institute of Digital Finance

  7. Direct Message Approximation (DMA): A Consistency-Based Framework for Tractable Approximate Inference on Factor Graphs

    Sep 24, 2026Ralf Herbrich, Rainer Schlosser, Jan Lemcke +11Message Passing Neural NetworksProbabilistic Inference

    Hasso Plattner Institute University of Potsdam Potsdam, Germany

  8. Low-Rank Friction for Memory-Efficient Transformer Pretraining

    Sep 24, 2026Rajit Rajpal, Benedict LeimkuhlerAdamTransformer Architectures

    School of Mathematics University of Edinburgh Edinburgh, UK EH9 3FD

  9. Exact Factorisation and Fast Computation of Invertible Constant-Q Transforms

    Sep 24, 2026Facundo Franchino, Eloi Moliner, Vesa VälimäkiFourierQuantizer

    Massachusetts Institute of Technology, Cambridge, MA, USA · Acoustics Lab, Dept. of Information and Communications Eng., Aalto University, Espoo, Finland

  10. AlphaDiverse: Post-Training Local Quantitative Research Agents for Diverse Exploration in Alpha Factor Mining

    Sep 24, 2026Qingzhuo Wang, Zikun Wei, Zhihua Wei +1Stochastic ExplorationDiversity

    Tongji University · Shanghai Non-convex Intelligent Technology

  11. SpaFactor: Lightweight Spatial Context-Aware Gene Program Modeling for Histology-to-Transcriptomics Inference

    Sep 23, 2026Shiting Ruan, Xitong Ling, Qiming He +6Spatial TranscriptomicsDigital Pathology

    Shenzhen International Graduate School, Tsinghua University, Shenzhen, China · Fuzhou University, Fuzhou, Fujian, China · Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China +1

  12. Gaussian Flow-Matching Schedules: Implications for Sampling and Training

    Sep 22, 2026Arsène Claustre, Hugo Negrel, Claire Boyer +2Time DiscretizationVariance

    DI-ENS · CNRS, ENS Paris · DMA, CFM +6

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

    Sep 14, 2026Sariah Patro, Arjun Mehra, Nikhil Bhatia3D Editing3D Scene Understanding

    University of Delhi & Jadavpur University

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

    Sep 8, 2026Woosang Jeon, Sanghyeok Choi, Minwoo Kim +2Conversational MemoryReadout

    Seoul National University

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

    Sep 8, 2026Stella Zhao, Tommy ShaMulti-Agent PlanningFactor

    University of Minnesota, Minneapolis, MN, USA · Stony Brook University, Stony Brook, NY, USA

  16. Relative Prime Factorization and Finite-State Presentations under Fixed Finite-Monoid Observation

    Sep 3, 2026Takayuki KuriyamaAutomataFinite Groups

    Independent Researcher, Tokyo, Japan

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

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

    Department of Computer Science and Artificial Intelligence, Dongguk University-Seoul · Department of Industrial Engineering, Seoul National University · School of Finance, Soongsil University

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

    Aug 13, 2026Jiacheng Guo, Suozhi Huang, Yunlong Gao +5Algorithmic TradingRecursive Self-Improvement

    Princeton University · Ant Group · Stanford University

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

    Aug 11, 2026Jinsong ChenExploratory Factor AnalysisFactor

    Faculty of Education, The University of Hong Kong

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

    Aug 9, 2026Enliang HuLow-Rank StructureFactor

  21. Do Tabular Foundation Models Agree with Themselves?

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

    Institute of Computer Science & VWFS DARC, University of Hildesheim, Hildesheim, Germany

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

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

    School of Computer Science, Peking University · 2Key Lab of High Confidence Software Technologies, Peking University · Institute of Information Engineering, Chinese Academy of Sciences +1

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

    Aug 2, 2026Xin Zou, Jingyuan XuFactorConvergence

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

    Jul 20, 2026Yihong Gu, Katherine Liao, Tianxi CaiExploratory Factor AnalysisLatent Variable

    Harvard University

  25. Learning in Infinitesimal Non-Compositional Sketches

    Jul 16, 2026Sridhar MahadevanSketchesTangent Space

    Adobe Research · University of Massachusetts, Amherst

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

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

    Department of Computer Science, University of Toronto · Vector Institute for Artificial Intelligence · Department of Mechanical & Industrial Engineering, University of Toronto +1

  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

    Institute for Data Science in Mechanical Engineering (DSME), RWTH Aachen University, Germany · Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge MA, USA.

  28. CAFE: A Compound-AI Factorial Evaluation Framework

    Jul 11, 2026Fabian Lukassen, Christoph Weisser, Thomas Kneib +1Artificial Intelligence EvaluationArtificial Intelligence Systems

    University of Göttingen · Bielefeld University of Applied Sciences and Arts (HSBI)

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

    Jul 10, 2026Edwin De Nicolo, Rahul Marchand, Cornelius Carlsson +2Quantum ProcessorMulti-Agent Reinforcement Learning

    Department of Physics University of Oxford United Kingdom · Department of Engineering Science University of Oxford United Kingdom

  30. 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

    Faculty of Education The University of Hong Kong · Department of Curriculum and Instruction The Education University of Hong Kong

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

    Jul 3, 2026Zhangcheng Hou, Tomoaki OhtsukiWifi-Csi 3D Human Pose EstimationChannel State Information

    Faculty of Science and Technology, Keio University, Yokohama 223-8522, Japan

  32. 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 StructureRiemannian Optimization

    Department of Mathematics, ETH Zurich, Zurich, Switzerland · Department of Computer Science, ETH Zurich, Zurich, Switzerland

  33. 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

    Conscious Engines

  34. 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 UncertaintyUncertainty

    Nanyang Technological University · Shanghai Jiao Tong University · VinUniversity +1

  35. Revisiting Action Factorization for Complex Action Spaces

    Jun 25, 2026Timothy Flavin, Sandip SenAction SpaceSoft Actor-Critic

    The University of Tulsa, Tulsa, Oklahoma, USA

  36. FactorLibrary: From Polynomials to Circuits via Recursive Subgoals

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

    University of Washington, Seattle, WA, USA.

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

    Jun 19, 2026Youngjoon Jeong, Jihwan Yu, Minsoo Jo +2Latent ActionsLatent Action Models

    Seoul National University

  38. CacheMuon: Using Temporal Preconditioning To Approximate Polar Factor

    Jun 15, 2026Bishnu Dev, Sushil Bohara, Martin Takáč +1MuonSpectral Preconditioning

    Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE · Mohamed bin Zayed University of Artificial Intelligence

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

    Jun 10, 2026Steven Oh, Jason Jingzhou Liu, Tony Tao +5Ground Reaction ForcesTorque

    Carnegie Mellon University · Waseda University

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

    Jun 4, 2026Jonathan von Rad, Louis Arts, George Burgess +6Cross-Lingual ConsistencyFactor

    University College London, Centre for Artificial Intelligence

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

    Jun 4, 2026Michaël Soumm, Alexandre Fournier Montgieux, Yunlong He +2Diffusion ModelsContrastive Learning

    INRIA at Univ. Grenoble Alpes · CEA List, Palaiseau · Télécom Paris, Institut Polytechnique de Paris

  42. In-Context Graphical Inference

    Jun 3, 2026Zehua Cheng, Wei Dai, Jiahao SunProbabilistic Graphical ModelsProbabilistic Inference

    Department of Computer Science, University of Oxford, Oxford, United Kingdom · FLock.io, London, United Kingdom

  43. World-Task Factorization for Robot Learning

    Jun 1, 2026Eduardo Sebastián, Adrian Pfisterer, Vito Mengers +2World ModelsSensorimotor Experience

    Department of Computer Science and Technology, University of Cambridge, United Kingdom · Robotics and Biology Laboratory, Technische Universität Berlin, Germany · Robotics and Biology Laboratory, Technische Universität Berlin +1

  44. 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 LearningBrain-Inspired Synergistic Framework

    Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University

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

    May 30, 2026Luyang Zhang, Jialu Wang, Fei Xue +1Multi-Agent Large Language Model SystemsAgent Behavior Modeling

    Carnegie Mellon University · University of California, Santa Cruz · Independent Researcher

  46. 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

    Materials Genome Institute, Shanghai University, Shanghai 200444, China · School of Computer Engineering and Science, Shanghai University, Shanghai 200444, China · School of Materials Science and Engineering, Tongji University, Shanghai 201804, China

  47. On the Detection of Commutative Factors in Factor Graphs: Necessary and Sufficient Conditions

    May 26, 2026Malte Luttermann, Ralf Möller, Marcel GehrkeFactor GraphsProbabilistic Graphical Models

    Institute for Humanities-Centered Artificial Intelligence, University of Hamburg, Germany

  48. BioFact-MoE: Biologically Factorized Mixture of Experts for Vision-Language Prognostic Modeling in Hepatocellular Carcinoma

    May 25, 2026Junlin Yang, Tian Yu, Nicha C. Dvornek +6CholangiocarcinomaExperts

    Department of Radiology & Biomedical Imaging, Yale University, New Haven, CT, 06510, USA · Department of Biomedical Engineering, Yale University, New Haven, CT, 06510, USA · Department of Electrical Engineering, Yale University, New Haven, CT, 06510, USA +1

  49. Factorize to Generalize: Retrieval-Guided Invariant-Dynamic Decomposition for Time Series Forecasting

    May 24, 2026Jinjin Chi, Lei Feng, Lulu Zhang +6Zero-Shot ForecastingTime Series Forecasting

    College of Computer Science and Technology, Jilin University, Changchun, China · College of Computing and Data Science, Nanyang Technological University, Singapore · City St George’s, University of London, London, United Kingdom +1

  50. On the Sample Complexity of Robust Binary Hypothesis Testing

    May 23, 2026Shankar Vallinayagam, Ankit Pensia, Varun JogTwo-Sample TestingOptimal Sample Complexity

    Department of Pure Mathematics and Mathematical Statistics, University of Cambridge · Department of Statistics, Carnegie Mellon University

  51. Factor Augmented High-Dimensional SGD

    May 19, 2026Shubo Li, Yuefeng Han, Xiufan YuStochastic Gradient DescentHigh-Dimensional

    Department of Statistics The Pennsylvania State University University Park, PA 16802, USA · Department of Applied and Computational Mathematics and Statistics University of Notre Dame Notre Dame, IN 46556, USA

  52. Beyond Square Roots: Explicit Memory-Efficient Factorization for Multi-Epoch Private Learning

    May 18, 2026Nikita P. Kalinin, Aki Rehn, Joel Daniel Andersson +2FactorEpoch

    Institute of Science and Technology Austria · University of Helsinki

  53. Dynamic Elliptical Graph Factor Models via Riemannian Optimization with Geodesic Temporal Regularization

    May 18, 2026Chuansen Peng, Xiaojing ShenRiemannian ManifoldsFactor Graphs

    School of Mathematics, Sichuan University, Chengdu, Sichuan, 610064, China

  54. Forward-Learned Discrete Diffusion: Learning how to noise to denoise faster

    May 18, 2026Grigory Bartosh, Teodora Pandeva, Sushrut Karmalkar +1Diffusion ModelsGenerative Models

    University of Amsterdam · Microsoft Research, Cambridge

  55. Bridging the Gap between Sparse Matrix Reordering and Factorization: A Deep Learning Framework for Fill-in Reduction

    May 17, 2026Ziwei Li, Tao Yuan, Shuzi Niu +1Graph Edge SparsificationFactor

    Institute of Software, Chinese Academy of Sciences, Beijing, China · University of Chinese Academy of Sciences, Beijing, China

  56. FactorizedHMR: A Hybrid Framework for Video Human Mesh Recovery

    May 14, 2026Patrick Kwon, Chen ChenHuman Mesh RecoveryPhotometric Supervision

    Institute of Artificial Intelligence University of Central Florida Orlando, FL 32817

  57. KamonBench: A Grammar-Based Dataset for Evaluating Compositional Factor Recovery in Vision-Language Models

    May 13, 2026Richard Sproat, Stefano PeluchettiMultimodal BenchmarksTextual Dataset

  58. Multimodal Hidden Markov Models for Persistent Emotional State Tracking

    May 13, 2026Anamika Ragu, Aneesh JonelagaddaEmotion RecognitionValence-Arousal Estimation

    Kaliber AI, San Mateo, California, USA.

  59. Valid Best-Model Identification for LLM Evaluation via Low-Rank Factorization

    May 11, 2026Elad Tolochinsky, Yaniv Tenzer, Yaniv RomanoLarge Language Model EvaluationModel Selection

    Department of Computer Science, Technion – Israel Institute of Technology · Department of Electrical and Computer Engineering, Technion – Israel Institute of Technology

  60. Instruction Adherence in Coding Agent Configuration Files: A Factorial Study of Four File-Structure Variables

    May 11, 2026Damon McMillanCoding AgentsCompliance

    HxAI Australia