Rank Aggregation

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2 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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  1. Parameterized Dense-Sparse Fusion for Hybrid Retrieval: Tuning a Rank-Score Mix on BEIR SciFact with Qdrant

    Sep 19, 2026Satyanarayan Pati, Srikanth PatilHybrid RetrievalRank Aggregation

    Involead Services Pvt. Ltd.

  2. Robust Rank Aggregation for Multimodal Speech-Based Alzheimer's Disease Detection

    Sep 9, 2026Zemin Jin, Tomoko MatsuiSpeech-Based Dementia DetectionAlzheimer's Disease Classification

    The Chinese University of Hong Kong, Shenzhen, China · Center for Language, Intelligence and Machines (LIMA), Shenzhen Loop Area Institute (SLAI), Shenzhen, China

  3. Learning to Fuse LLMs with Ontology Rankers for Rare-Disease Diagnosis

    Sep 2, 2026Zhaoyang Jiang, Zhizhong Fu, Yunsoo Kim +5Rare Disease DiagnosisRank Aggregation

    School of Health & Wellbeing, University of Glasgow, Glasgow, UK · School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China · Department of Respiratory and Critical Care Medicine, Shanghai Sixth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

  4. Aggregating Neighbor Embedding Projection and Rank-Based Manifold Learning for Image Retrieval

    Sep 2, 2026Vinicius Atsushi Sato Kawai, Gustavo Rosseto Leticio, Lucas Pascotti Valem +1Manifold LearningRank Aggregation

    Department of Statistics, Applied Mathematics, and Computing (DEMAC), São Paulo State University (UNESP), Av. 24 A, Rio Claro, SP, 13506-900, Brazil. · Institute of Mathematics and Computer Science (ICMC), University of São Paulo (USP), Av. Trabalhador São-carlense, 400 - Centro, São Carlos, SP, 13566-590, Brazil.

  5. Aggregate-then-Calibrate for Human-centered Assessment with Theoretical Guarantees

    Aug 3, 2026Zejun Xie, Xintong Li, Guang Wang +1Post-Hoc CalibrationLearning to Rank

    Rutgers University · Renmin University of China · Florida State University

  6. MARS-RA: Rank Aggregation for Credit Assignment via Multimodal Comparisons in Embodied Multi-Agent Cooperation

    Jul 30, 2026Dawei Wang, Di Zhao, Xinyuan Liu +5Credit Assignment in RLCooperative MARL

    Newcastle University, United Kingdom · University of Auckland, New Zealand

  7. Best-of-NN TTS Evaluation is Confounded by ASR Family Alignment

    Jul 9, 2026Taehyung Yu, Seongjae KangSpeech Generation EvaluationTTS Evaluation

    KAIST, Daejeon, South Korea.

  8. Ask the Right Comparison:Bias-Aware Bayesian Active Top-kk Ranking with LLM Judges

    Jul 2, 2026Jian Xu, Delu Zeng, John Paisley +1Pairwise ComparisonLLM-as-a-Judge

    RIKEN iTHEMS · RIKEN AIP · South China University of Technology +1

  9. Can LLMs Rank? A Tale of Triads and Triage

    Jun 29, 2026Gaurab Pokharel, Shafkat Farabi, Patrick J. Fowler +1Pairwise ComparisonSocial Choice Theory

    Virginia Tech Alexandria, VA · Washington University in St. Louis St. Louis, MO

  10. Graph Neural Networks for Semi-Supervised Image Classification with Multi-Feature Aggregation

    Jun 16, 2026Marina Chagas Bulach Gapski, Vinicius Atsushi Sato Kawai, Gustavo Rosseto Leticio +3Graph Neural NetworksSemi-Supervised Learning

    Department of Statistics, Applied Mathematics, and Computing (DEMAC), São Paulo State University (UNESP), Av. 24 A, Rio Claro, SP, 13506-900, Brazil. · Institute of Mathematics and Computer Science (ICMC), University of São Paulo (USP), Av. Trabalhador São-carlense, 400 - Centro, São Carlos, SP, 13566-590, Brazil. · Department of Computer Science and Engineering, University of Quebec in Outaouais (UQO), 101 St-Jean Bosco, Gatineau, Quebec, J8X 3X7, Canada.

  11. When Metrics Disagree: A Meta-Analysis of Knowledge-Graph-Completion Model Benchmarking

    Jun 9, 2026Haji Gul, Ajaz Ahmad BhatMulti-Criteria Decision AnalysisKG Completion

    School of Digital Science, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong BE1410, Brunei Darussalam

  12. Active Learners as Efficient PRP Rerankers

    May 14, 2026Jeremías Figueiredo Paschmann, Juan Kaplan, Francisco Nattero +3Pairwise Preference LearningPairwise Comparison

    ELIAS Lab, Departamento de Ingeniería, Universidad de San Andrés

  13. Why Global LLM Leaderboards Are Misleading: Small Portfolios for Heterogeneous Supervised ML

    May 7, 2026Jai Moondra, Ayela Chughtai, Bhargavi Lanka +1Multilingual Language Model EvaluationLLM Evaluation

    Carnegie Mellon University · MIT Sloan School of Management

  14. SCARV: Structure-Constrained Aggregation for Stable Sample Ranking in Redundant NLP Datasets

    May 1, 2026Xu Zheng, Feiyu Wu, Linhong Wu +2Training Data SelectionML Reproducibility

    School of Cyber Engineering, Xidian University

  15. RARE: Redundancy-Aware Retrieval Evaluation Framework for High-Similarity Corpora

    Apr 21, 2026Hanjun Cho, Jay-Yoon LeeSynthetic Benchmark GenerationBenchmark Validity

    Allganize · Seoul National University