Global Embeddings

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Period ending 2026-09-21

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  1. Embedding Models Measure in Peculiar Ways

    Sep 17, 2026Juri Opitz, Andrianos MichailEmbedding DimensionSemantic Similarity Metrics

  2. Quanta: A Self-Contained Python Library for Hybrid Retrieval over Quantised Embeddings, Lexical Indexes, and Knowledge Graphs

    Sep 16, 2026Ioannis E. LivierisRetrieversRecent Retrieval-Augmented Generation

  3. Multi-modal Knowledge Preserving Adapter for Embedding Backward Compatibility

    Sep 15, 2026Jaeseok Byun, Gukyeong Kwon, Han-Kai Hsu +4Multimodal EmbeddingsMulti-Modal Large Language Models

  4. Reduplicative constructions in Mandarin: Socio-emotional profiling through distributional semantics

    Sep 15, 2026Chaoyi Wu, Yu-Hsiang Tseng, R. Harald BaayenRedundancyGlobal Embeddings

  5. Where Post-Training Quantization Breaks Text Embedders: A Measured Map Across Four Embedder Families

    Sep 14, 2026Hyojung HanWeight-Only QuantizationLarge Language Model Quantization

  6. Beyond ID Embeddings: Process-Grounded Language Modeling for Cognitive Diagnosis

    Sep 14, 2026Minghang Liu, Yuanzhuo Wang, Qiang Qiu +2Cognitive DiagnosisVision-Language Model Grounding

  7. Structural Process Supervision for Latent Chain-of-Thought Reasoning

    Sep 9, 2026Yiqi Li, Xu Chen, Chen Ju +6Efficient Latent ReasoningGlobal Embeddings

  8. Dynamics of meaning: Towards the Evaluation of Diachronic Semantic Change in Sinhala

    Sep 8, 2026Nevidu Jayatilleke, Nisansa de SilvaLow-Resource LanguagesDomain-Invariant Text Embeddings

  9. Topology-induced Operators Reveal Complementary Graph Representations without Training

    Sep 8, 2026Meng Qin, Jinqiang Cui, Hongwei Zheng +2Graph Representation LearningEmbedding Dimension

  10. CORE: Improving Compositional Reasoning in MLLM Embedding via Reranker Distillation

    Sep 3, 2026Tingyu Song, Mingxin Li, Yanzhao Zhang +5RerankingGlobal Embeddings

  11. Synthetic Semantic Supervision for Contrastive Code Representation Learning in Small Transformers: An Empirical Study

    Sep 3, 2026Kenneth Paulsen, Florian Tambon, Mike Papadakis +1Contrastive DecodingGlobal Embeddings

  12. Retrieved but not ranked: surface-form bias in structural retrieval, from mathematics to agent trajectories

    Sep 1, 2026Nabira Rashid, Manolis KellisMathematicsReranking

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

    Sep 1, 2026Suryaansh Jain, Rahasya Barkur, Vishal G +8Remote Sensing Image Change CaptioningFine-Grained Perception

  14. Can LLMs Use Relational Transformer Embeddings?

    Aug 31, 2026Francisco Galuppo Azevedo, Clarissa Lima LouresGlobal Embeddings

  15. Hidden relationships in a document-derived property graph: top-k chunk embeddings and inverse-distance weighting over a dynamically evolving ontology

    Aug 31, 2026Bilge Kaan Karamete, Hunter CastenKnowledge Graph EmbeddingsKnowledge Graphs

  16. Generative Retrieval for E-commerce: Jointly Learning Embedding and Codebook with Same Product Cluster

    Aug 31, 2026Songtao Fang, Zihao Xu, Shaowei Wei +2ProductsGlobal Embeddings

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

    Aug 31, 2026Rastislav Lenhardt, Teodora Dobos, Thomas Vecchiato +2Calibration-Free Low-Bit Vector QuantizationApproximate Nearest-Neighbor Search

  18. Structural Hierarchy and Geometry in Molecular Representation Learning

    Aug 30, 2026David Sulu, Lorenzo Di Fruscia, Jana M. WeberMolecular Structure ElucidationVast Chemical Space

  19. Who Remains, What Changes: Identity Anchored Composed Gait Retrieval

    Aug 27, 2026Jingchen Fei, Zengbin Wang, Yukun Liu +3Gait RecognitionSingle-Subject Gait Dataset

  20. The Embedder's Dilemma: LLMs Are Better, but at What Cost?

    Aug 13, 2026Adnan El Assadi, Niklas Muennighoff, Jinhyuk LeeEmbedderLLM Inference Efficiency

  21. SCALE: Scientific Concept Aggregation via LLMs and Embeddings for Fine-Grained Taxonomy Extension

    Aug 7, 2026Daniele Raimondi, Feichi Lu, Oliver Grun +2TaxonomyScientific Discovery

  22. Hyperbolic Graph Embedders for Link Prediction and Topology Reconstruction

    Aug 7, 2026Robert Jankowski, Maksim Kitsak, Dorota Celińska-KopczyńskaHypergraphsComplex Networks

  23. Calibrating WEAT Against Anisotropy: ZCA Whitening as a Geometric Pre-Processing Step for Embedding Association Tests

    Aug 7, 2026Seitaro Ono, Senna Ross, Jun SaikiEmbedding DimensionIndependent Component Analysis

  24. Understanding Differentiable Embeddings Through Differential and Integral Geometry

    Aug 7, 2026Xinyu Zhang, Klaus MuellerEmbedding DimensionCurvature

  25. Mapping Similarity Spaces across Embedding Models with Synthetic Query Probing

    Aug 6, 2026Marcin Rozmus, Peter van der PuttenGlobal EmbeddingsSemantic Similarity Metrics

  26. Task-Conditional Flow Matching for Balanced Multilingual Text Embedding Adaptation

    Aug 6, 2026Tirth Bhatt, Naren Kumar S, Mayank SinghDomain-Invariant Text EmbeddingsLarge Language Model Adaptation

  27. Enhancing Tabular Learners with Context-Aware Semantic Embeddings

    Aug 4, 2026Günther Schindler, Maximilian Schambach, Johannes HöhneTabular LearningGlobal Embeddings

  28. UEmbed: Unified Sparse and Dense Multimodal Embeddings

    Aug 3, 2026Tingyu Song, Mingxin Li, Yanzhao Zhang +5Multimodal EmbeddingsEmbedder

  29. AdaForensics: Learning A Characteristic-aware Adaptive Deepfake Detector

    Aug 3, 2026Xiaoke Yang, Haixu Song, Xiangyu Lu +2Explainable Deepfake DetectionDeepfake Detection

  30. Do Static Embeddings Add Value to Hybrid Dutch Retrieval?

    Aug 3, 2026António Pereira BarataGlobal EmbeddingsLuxembourgish

  31. Pretraining on Call Graphs: When Binary Analysis Tasks Profit From Context

    Aug 3, 2026Samuel Valenzuela, Johannes KinderReverse EngineeringGlobal Embeddings

  32. Foveated Probes Recover Localized Binding Information in Vision Foundation Models

    Aug 1, 2026Mateusz Michalkiewicz, Mahsa Baktashmotlagh, Guha BalakrishnanFrozen Vision-Language ModelsVision Foundation Models

  33. A Triple-Robustness Analysis of Retrieval-Augmented Generation for Multi-Hop Requirements Traceability

    Aug 1, 2026Meftun Akarsu, Burak Özdemir, Doğancan Büyükçolak +1Graph-Based Retrieval Augmented GenerationTraceability

  34. Tokenizer-Agnostic Engram Module

    Jul 31, 2026Jia Peng Lim, Hai Leong ChieuDeepseekGlobal Embeddings

  35. Kohn-Sham Spectral Embedding on Sparse Graphs at the Nishimori Temperature for Image Classification

    Jul 30, 2026V. S. Usatyuk, D. A. Sapozhnikov, S. I. EgorovFeature LearningImage Classification

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

    Jul 28, 2026Abdallah Baraka, Daniel ProbstDimensionality ReductionEmbedding Dimension

  37. Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer

    Jul 28, 2026Erich Schmitz, Meixu Chen, Bowen Jing +1RadiomicsNon-Small Cell Lung Cancer

  38. Human Preference aligned Tabular Similarity

    Jul 27, 2026Frederik Hoppe, Astrid Franz, Marianne Michaelis +2Semantic Similarity MetricsGlobal Embeddings

  39. Evaluating and Mitigating Gender Bias in Pre-trained Embeddings for ML-based Recruitment

    Jul 22, 2026Farnaz Faramarzi Lighvan, Lynn HouthuysGender BiasGender

  40. emb-diversity: A Tool for Embedding-Based Measurement of Data Diversity

    Jul 22, 2026Cantao Su, Menan Velayuthan, Esther Ploeger +2DiversityDomain-Invariant Text Embeddings

  41. RAGAL: A Frugal, Fully Local Retrieval-Augmented Assistant for Technical Support at a Government Agency

    Jul 21, 2026Dan MusetoiuEmbedderDigital Sovereignty

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

    Jul 17, 2026Jianru ShenEmbedding DimensionRotation-Invariant Descriptors

  43. KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback

    Jul 17, 2026Yan Zhu, Y. Chen, Rebecca FaustDomain-Invariant Text EmbeddingsGeo-Contextual Alignment

  44. Nexus: Native Mesh Generation with Diffusion

    Jul 15, 2026Hanxiao Wang, Ying-Tian Liu, Yuan-Chen Guo +5MeshesVoxel

  45. 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 DetectionAnomaly Detection

  46. Accuracy-Preserving Stability Regularization for Large-Scale Retail Demand Forecasting

    Jul 14, 2026Jize Li, Jiani He, Dishu Yang +3Demand ForecastingRegularization Techniques

  47. Contrastive-Collapsed Loss for Flexible and Geometrically Optimal Embeddings and Faster Convergence

    Jul 14, 2026Blanca Cano-Camarero, Ángela Fernández-Pascual, José R. DorronsoroEmbedding DimensionContrastive Loss

  48. AeroMELD: A Linear Embedding of Aerosol Populations for Diagnostics and Latent Dynamics

    Jul 13, 2026Ehsan Saleh, Saba Ghaffari, Wenhan Tang +5Atmospheric DynamicsLatent Dynamics

  49. Beyond Looking Up, Try Looking Around: Harmonizing Global Structure and Local Consistency in Optimal Transport for Short Text Clustering

    Jul 12, 2026Zhihao Yao, Yuxuan Gu, Jixuan Yin +1Pseudo-LabelingCluster Structure

  50. Tokenizing Numerical and Embedding Features for LLM RecSys

    Jul 10, 2026Zhe Xu, Ankit Peshin, Chiyu Zhang +7Global EmbeddingsTokenization

  51. Similarity search generalisation in contrastive learning with InfoNCE loss

    Jul 10, 2026Nick WhiteleyContrastive LearningEmbedding Dimension

  52. TextileNet: Towards Zero-shot Text-style Segmentation of Manuscripts

    Jul 10, 2026Anguelos Nicolaou, Antonella Ambrosio, Desiree Di Donato +1Handwritten Text RecognitionDomain-Invariant Text Embeddings

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

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

  54. A Multi-cluster Boundary Learning Method for Out-of-Scope Intent Detection via MiniLM Embedding

    Jul 8, 2026Yihong Xu, Mingyu Kang, Linyuan LüOut-Of-Domain GeneralizationGlobal Embeddings

  55. Listen to the Features: Voice Anonymization Driven by Content Embedding Matching over Signal Reconstruction

    Jul 7, 2026Adrien Schneider, Kacper Zabkowski, Anderson Augusma +3Wav2VecAnonymization

  56. CMDR: Contextual Multimodal Document Retrieval

    Jul 7, 2026Ryota Tanaka, Taku Hasegawa, Kyosuke NishidaMultimodal RetrievalMultimodal Embeddings

  57. Learning Probabilistic Embeddings for Unsupervised Action Segmentation

    Jul 6, 2026Shuai Li, Duc Manh Vu, Juergen GallTemporal Action SegmentationLatent Actions

  58. MTEB-BR: A Text Embedding Benchmark for Brazilian Portuguese

    Jul 6, 2026Tardelli Ronan Coelho StekelPortugueseDomain-Invariant Text Embeddings

  59. Beyond Multilingual Averages: MTEB-PT, a Benchmark for Portuguese Sentence Encoders

    Jul 5, 2026Lucas Hideki Takeuchi Okamura, Alexandre Alcoforado, Anna Helena Reali CostaDomain-Invariant Text EmbeddingsPortuguese

  60. Conditional Diffusion Guided Knowledge Transfer for Multi-Domain Knowledge Graph Completion

    Jul 3, 2026Jiawei Sheng, Taoyu Su, Xixun Lin +2Knowledge Graph CompletionCross-Task Knowledge Transfer