Behavioral Embeddings

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2 papers in the last four weeks, down 33% on the four weeks before. 0.0% of all new papers.

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  1. ANI: Adaptive Numerical Injection for Unifying Semantic and Arithmetic Representations in Numerical Reasoning

    Sep 30, 2026Jinsung Jeon, Seung-won HwangLLM Reasoning StrategiesBehavioral Embeddings

    KAIST InnoCORE LLM · Seoul National University · Korea University

  2. Textual User Taste: Natural-Language User Context for Foundation-Model Recommender System at Scale

    Sep 28, 2026Ghazal Fazelnia, Paul Gigioli, Eliza Klyce +16Large Language Model PersonalizationBehavioral Embeddings

    Spotify, USA, UK, Sweden

  3. A Glance Is All You Need: Single-Pass Fine-Grained Image Captioning with SimLoss

    Sep 1, 2026Suryaansh Jain, Rahasya Barkur, Vishal G +8Image Difference CaptioningBehavioral Embeddings

    University of Massachusetts Amherst · Adobe Research

  4. RSLM: Training-Free Vector Quantization for Approximate Nearest Neighbor Search

    Aug 31, 2026Rastislav Lenhardt, Teodora Dobos, Thomas Vecchiato +2Residual Vector QuantizationApproximate Nearest-Neighbor Search

    Google Zurich, Switzerland · Technical University of Munich Munich, Germany · University of Copenhagen Copenhagen, Denmark +1

  5. Intervention-Aware Clinical World Model for Post-Op Outcome Forecasting in Cardiology

    Aug 13, 2026Yunsung Chung, Yingshuo Liu, Abboud F. Hassan +4CardiacWorld Models

    Tulane University, New Orleans, LA 70118, USA · Simula Research Laboratory, Oslo, Norway

  6. Understanding Differentiable Embeddings Through Differential and Integral Geometry

    Aug 7, 2026Xinyu Zhang, Klaus MuellerData ManifoldBehavioral Embeddings

    Stony Brook University · Department of Computer Science, Stony Brook University, Stony Brook, NY, USA

  7. ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces

    Aug 3, 2026Kunal Kumar Pant, Nithin NagarajTransformer ArchitecturesBehavioral Embeddings

    Department of Electronics and Communication Engineering (ECE) Amrita Vishwa Vidyapeetham Kollam, Kerala, India · Complex Systems Programme National Institute of Advanced Studies (NIAS) IISc Campus, Bengaluru Karnataka, India

  8. Using Lower-Bound Representations for Trajectory Similarity Learning

    Aug 2, 2026Liwei Deng, Haotian Meng, Yupu Zhang +4Trajectory GenerationBehavioral Embeddings

    Aalborg University · University of Electronic Science and Technology of China

  9. H+ Embedding: Harmonizing Global and Token-Level Retrieval with Context-Dependent Phrases

    Jul 29, 2026Shusen Zhang, Junyi Hu, Ye Feng +6RetrieversBehavioral Embeddings

    Alibaba Health

  10. FloDR: An invertible dimensionality reduction method based on a normalising flow

    Jul 28, 2026Abdallah Baraka, Daniel ProbstDimensionality ReductionNormalizing Flows

    Bioinformatics Group Wageningen University & Research Wageningen 6708PB, The Netherlands

  11. Discrete Ricci Curvature on Protein Contact Graphs for Lightweight Fold Classification

    Jul 17, 2026Jianru ShenBehavioral EmbeddingsGraph Representation Learning

    University of Montana Missoula, MT, USA

  12. M2P-AD: Memory-to-Prototype Learning with Boundary-aware Score Refinement for 3D Anomaly Detection

    Jul 15, 2026Seyoung Jeong, Jong Pil Yun, Sang Jun Lee3D Object DetectionBoundaries

    Jeonbuk National University, Jeonju, Republic of Korea · Manufacturing AI Research Center, Korea Institute of Industrial Technology (KITECH), Incheon, Republic of Korea

  13. GRE-Diff: Gaussian Room Embeddings for Structured Layout Diffusion

    Jul 9, 2026Jing Wang, Haoran Xiong, Zihao Yan +2Floor Plan GenerationCo-Design

    Guangdong Provincial Key Laboratory of Visual Media and Multidimensional Intelligence, CSSE, Shenzhen University, China · School of Computer Science, University of Guelph, Canada

  14. MABLE: Masked Autoencoding with Bi-Lipschitz Decoding for Embeddings and Graph Metric Learning

    Jul 3, 2026Yaniv Shulman, Shaghayegh Akbarpour, Jack B. MuirGraph Representation LearningBehavioral Embeddings

    Fleet Space Technologies, Adelaide, Australia · Research School of Earth Sciences, Australian National University, Acton, Australia

  15. Recovering Input Text from Hidden States: Study of Gradient-Based Inversion of Decoder-Only Language Models

    Jul 1, 2026Mikołaj Słowikowski, Maciej Witold MajewskiHidden StatesDiffusion Inversion

    AGH University of Krakow, Faculty of Physics and Applied Computer Science, al. Mickiewicza 30, 30-059 Krakow, Poland

  16. Scaling Laws for Grid-Based Approximate Nearest Neighbor Search in High Dimensions

    Jul 1, 2026Matthew J Liu, Wei Hang Zheng, Vidhan Purohit +4Approximate Nearest-Neighbor SearchBehavioral Embeddings

    University of California, Berkeley · University of Toronto, St. George · Independent Researcher +1

  17. Mitigating Batch Effects in Histopathology via Language-Mediated Robust Embedding Generation

    Jun 27, 2026Yishu Zhang, Shushan Wu, Zhenzhong Zhang +8Pathology Foundation ModelsComputational Pathology

    University of North Carolina at Chapel Hill

  18. BitNet Text Embeddings

    Jun 24, 2026Zhen Li, Xin Huang, Liang Wang +8Text EmbeddingsEmbedder

    Peking University · Microsoft Research

  19. Prime Fourier Embeddings: A Principled Basis for Modular Arithmetic

    Jun 22, 2026Hyunsang Hwang, Suhyun Bae, Donghun LeeBehavioral EmbeddingsFourier

    Department of Mathematics, Korea University, Seoul

  20. DenseControl: Instance-Level Controllable Synthesis of Dense Crowd Image

    Jun 14, 2026Juncheng Wang, Lei Shang, Wang Lu +2Indoor Scene GenerationSynthesis

    department of Biomedical Engineering, the Hong Kong Polytechnic University, Hong Kong · Tongyi lab, Alibaba Group, Hangzhou, China · Tsinghua University, Beijing, China +1

  21. Policy Regret for Embedding Model Routing: Contextual Bandits with Low-Rank Experts

    Jun 12, 2026Yan Dai, Negin Golrezaei, Patrick JailletBehavioral EmbeddingsLow-Rank Structure

    Operations Research Center, MIT. · Sloan School of Management, MIT. · Department of EECS, MIT.

  22. Hyperdimensional computing for structured querying on tabular data embeddings

    Jun 11, 2026Sebastián Bugedo, Stijn VansummerenBehavioral EmbeddingsHypergraphs

    UHasselt, DSI Diepenbeek, Belgium

  23. HyPE: Category-Aware Hypergraph Encoding with Persistent Edge Embeddings for Persona-Grounded Dialogue

    Jun 11, 2026Sangwon Youn, Yoonjin Jang, Youngjoong KoArtificial Intelligence PersonasHypergraphs

    Sungkyunkwan University, Suwon, Republic of Korea

  24. Anchor PCA

    Jun 4, 2026Benedikt Seiter, Anya Fries, Julius von Kügelgen +1Principal Component AnalysisDimensionality Reduction

    ETH Zürich

  25. Learning Topological Representations of Protein Structure and Dynamics

    Jun 2, 2026Dominik Geng, Florian Graf, Martin Uray +1Molecular DynamicsMolecular Property Prediction

    University of Salzburg, Austria · Josef Ressel Centre for Intelligent and Secure Industrial Automation, University of Applied Sciences, Salzburg, Austria

  26. Statistical Embeddings for Similarity, Retrieval, and Interpretable Alignment of Numeric Tabular Datasets

    May 28, 2026M. Ross Kunz, John Merickel, Keith WilsonTabular DataBehavioral Embeddings

    1*Idaho National Laboratory.

  27. L2Rec: Towards Dual-View Understanding of LLMs for Personalized Recommendation

    May 26, 2026Pingjun Pan, Tingting Zhou, Peiyao Lu +3Large Language Model PersonalizationRecommendation Quality

    Netease Cloud Music Hangzhou, China

  28. 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

  29. MEDAL: Manifold Embedding Distillation via Autoencoder Learning

    May 22, 2026Irene Chang, Tarek M. Zikry, Genevera I. AllenDimensionality ReductionBehavioral Embeddings

    Department of Statistics, Columbia University, New York, NY 10027 · School of Data and Information Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 · Irving Institute for Cancer Dynamics, Columbia University, New York, NY 10027 +1

  30. Is Dimensionality a Barrier for Retrieval Models?

    May 22, 2026Kiril Bangachev, Guy Bresler, Jonathan Kogan +1Retrieval LayerBehavioral Embeddings

    Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge, MA, 02139

  31. Understanding and Improving Noisy Embedding Techniques in Instruction Finetuning

    May 22, 2026Abhay YadavModel Fine-TuningBehavioral Embeddings

    Johns Hopkins University Baltimore, MD, USA

  32. SHED: Style-Homogenized Embedding Alignment for Domain Generalization

    May 16, 2026Kai Gan, Tong WeiContrastive Language-Image Pre-Training ModelMultimodal Domain Generalization

    School of Computer Science and Engineering, Southeast University, Nanjing 210096, China · Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, China

  33. Doubly Robust Proxy Causal Learning with Neural Mean Embeddings

    May 10, 2026Bariscan Bozkurt, Alexandre Galashov, Dimitri Meunier +3CausalDose

    University College London

  34. Embedding Dimension Lower Bounds for Universality of Deep Sets and Janossy Pooling

    May 8, 2026Ali Syed, Aditya Nambiar, Jonathan W. SiegelIntrinsic DimensionalityBehavioral Embeddings

    Department of Mathematics Texas A&M University College Station, TX 77843

  35. AlphaEarth Satellite Embeddings for Modelling Climate Sensitive Diseases Towards Global Health Resilience

    Apr 29, 2026Usman Nazir, I-Han Cheng, Sara KhalidAccurate Dengue ForecastingClimate

    Planetary Health Informatics (PHI) Lab, University of Oxford

  36. Diffusion-Guided Feature Selection via Nishimori Temperature: Noise-Based Spectral Embedding

    Apr 27, 2026Vasiliy S. Usatyuk, Denis A. Sapozhnikov, Sergey I. EgorovFeature SelectionFeature Learning

    R&D Department T8 LLC Moscow, Russia · Department of Computer Science South-West State University Kursk, Russia

  37. Come Together: Analyzing Popular Songs Through Statistical Embeddings

    Apr 24, 2026Matthew Esmaili Mallory, Mark Glickman, Jason BrownBehavioral EmbeddingsSymbolic Music Generation

    Harvard University Department of Statistics Cambridge, MA, USA · Department of Mathematics and Statistics Dalhousie University Halifax, NS, Canada

  38. Lever: Inference-Time Policy Reuse under Support Constraints

    Apr 22, 2026Ihor Vitenko, Noha Ibrahim, Sihem Amer-YahiaReuseBehavioral Embeddings

    Anhalt University of Applied Sciences Germany · Université Grenoble Alpes Grenoble, France · CNRS, Univ. Grenoble Alpes Grenoble, France

  39. Characterizing AlphaEarth Embedding Geometry for Agentic Environmental Reasoning

    Apr 20, 2026Mashrekur Rahman, Samuel J. Barrett, Christina LastGeospatial ReasoningBehavioral Embeddings

    Dartmouth Libraries, Dartmouth College, Hanover, 03755, NH, USA. · LGND AI, Canarias, Spain. · TipplyAI, London, UK.

  40. Balanced Co-Clustering of Users and Items for Embedding Table Compression in Recommender Systems

    Apr 20, 2026Runhao Jiang, Renchi Yang, Donghao WuClusteringBehavioral Embeddings

    Hong Kong Baptist University · The Chinese University of Hong Kong

  41. Neighbor Embedding for High-Dimensional Sparse Poisson Data

    Apr 18, 2026Noga Mudrik, Adam S. CharlesDimensionality ReductionPoisson

    Department of Biomedical Engineering Center for Imaging Science Kavli Neuroscience Discovery Institute Johns Hopkins University Baltimore, MD 21218, USA

  42. Applications of deep generative models to DNA reaction kinetics and to cryogenic electron microscopy

    Apr 18, 2026Chenwei ZhangCryo-Electron MicroscopyGenerative Models

    THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver)

  43. The Impact of Dimensionality on the Stability of Node Embeddings

    Apr 9, 2026Tobias Schumacher, Simon Reichelt, Markus StrohmaierBehavioral Embeddings

    University of Mannheim · RWTH Aachen University · GESIS - Leibniz Institute for the Social Sciences, and +1

  44. Quantum Maximum Likelihood Prediction via Hilbert Space Embeddings

    Feb 20, 2026Sreejith Sreekumar, Nir WeinbergerMaximum LikelihoodConcentration Bounds

  45. Freeze, Diffuse, Decode: Task-Aware Adaptation of Transformer Embeddings for Antimicrobial Peptide Design

    Nov 28, 2025Pankhil Gawade, Adam Izdebski, Myriam Lizotte +4Generative Pretrained TransformersBehavioral Embeddings

    Institute of AI for Health, Helmholtz Munich · School of Computation, Information and Technology, Technical University of Munich · Mila - Quebec AI institute; Univ. de Montreal +3

  46. Concentration bounds on response-based vector embeddings of black-box generative models

    Nov 11, 2025Aranyak Acharyya, Joshua Agterberg, Youngser Park +1Generative ModelsBehavioral Embeddings

  47. Higher Embedding Dimension Creates a Stronger World Model for a Simple Sorting Task

    Oct 21, 2025Brady Bhalla, Honglu Fan, Nancy Chen +1Transformer ArchitecturesBehavioral Embeddings

    California Institute of Technology · Pasadena, CA 91125 · Google DeepMind +3

  48. Panorama: Fast-Track Nearest Neighbors

    Oct 1, 2025Vansh Ramani, Alexis Schlomer, Akash Nayar +3Approximate Nearest-Neighbor SearchBehavioral Embeddings

    IIT Delhi & CMU & UCPH · Carnegie Mellon University · Indian Institute of Technology Delhi +1