---
title: "Who cites Bagging Predictors"
description: "The papers of the Elamur Research library that cite «Bagging Predictors», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/breiman-1996-bagging-predictors/cited-by/"
---
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# Who cites «Bagging Predictors»

183 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/breiman-1996-bagging-predictors/)

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/breiman-1996-bagging-predictors/cited-by/page/2/)

1. [A Binary Problem in Binary QA: Diverse LLMs or Diverse Question Interpretations? That Is the Ensembling Question](https://aclanthology.org/2026.lrec-1.400/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
2. [Can Decision Trees Teach Large Language Models? Distilling Verbalized Knowledge for Molecular Property Prediction](https://arxiv.org/abs/2603.12344) *— 2026 · arXiv:2603.12344*
3. [CredenceAI at SemEval-2026 Task 10: A Span-Consistency Network with Cross-Marker Attention for Conspiracy Marker Extraction](https://aclanthology.org/2026.semeval-1.406/) *— 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)*
4. [Machine Learning for Specialized QKD Aspects: A Survey of Adaptive Protocols, Free-Space Links, 6G Integration, and Steerability-Aware Security](https://arxiv.org/abs/2608.08280) *— 2026 · arXiv:2608.08280*
5. [Parametric Matrix Models for Emulation in Nuclear and Many-Body Physics](https://arxiv.org/abs/2608.12837) *— 2026 · arXiv:2608.12837*
6. [Revisiting Chebyshev Polynomial and Anisotropic RBF Models for Tabular Regression](https://arxiv.org/abs/2602.22422) *— 2026 · arXiv:2602.22422*
7. [TaiJi: State-Conditional Adaptive Combination of Machine-Learning and Physics-Based Global Weather Forecasts](https://arxiv.org/abs/2609.31972) *— 2026 · arXiv:2609.31972*
8. [YNU-HPCC at SemEval-2026 Task 9: Hybrid Augmentation and Regularization Strategies for Multilingual Polarization Type Classification](https://aclanthology.org/2026.semeval-1.99/) *— 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)*
9. [AID: Adaptive Integration of Detectors for Safe AI with Language Models](https://aclanthology.org/2025.naacl-long.229/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
10. [Can Large Language Models Act as Ensembler for Multi-GNNs?](https://aclanthology.org/2025.emnlp-main.1470/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
11. [Divide, Optimize, Merge: Scalable Fine-Grained Generative Optimization for LLM Agents](https://aclanthology.org/2025.findings-emnlp.1034/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
12. [Empowering Persuasion Detection in Slavic Texts through Two-Stage Generative Reasoning](https://aclanthology.org/2025.bsnlp-1.20/) *— 2025 · Proceedings of the 10th Workshop on Slavic Natural Language Processing (Slavic NLP 2025)*
13. [Explaining Matters: Leveraging Definitions and Semantic Expansion for Sexism Detection](https://aclanthology.org/2025.acl-long.809/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
14. [GateNLP at SemEval-2025 Task 10: Hierarchical Three-Step Prompting for Multilingual Narrative Classification](https://aclanthology.org/2025.semeval-1.21/) *— 2025 · Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)*
15. [Learn to pick the winner: Black-box ensembling for textual and visual question answering](https://aclanthology.org/2025.konvens-1.2/) *— 2025 · Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Long and Short Papers*
16. [Mix, MinHash, and Match: Cross-Source Agreement for Multilingual Pretraining Datasets](https://arxiv.org/abs/2512.18834) *— 2025 · arXiv:2512.18834*
17. [Model Merging via Multi-Teacher Knowledge Distillation](https://arxiv.org/abs/2512.21288) *— 2025 · arXiv:2512.21288*
18. [PATeam at SemEval-2025 Task 9: LLM-Augmented Fusion for AI-Driven Food Safety Hazard Detection](https://aclanthology.org/2025.semeval-1.249/) *— 2025 · Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)*
19. [Revisiting Ensemble Methods for Stock Trading and Crypto Trading Tasks at ACM ICAIF FinRL Contest 2023-2024](https://arxiv.org/abs/2501.10709) *— 2025 · arXiv:2501.10709*
20. [Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges](https://arxiv.org/abs/2502.01612) *— 2025 · arXiv:2502.01612*
21. [The Unreasonable Effectiveness of Model Merging for Cross-Lingual Transfer in LLMs](https://aclanthology.org/2025.mrl-main.10/) *— 2025 · Proceedings of the 5th Workshop on Multilingual Representation Learning (MRL 2025)*
22. [VeriMinder: Mitigating Analytical Vulnerabilities in NL2SQL](https://aclanthology.org/2025.acl-demo.43/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
23. [Authorship Attribution with Rejection Capability in Challenging Contexts of Limited Datasets](https://aclanthology.org/2024.propor-1.15/) *— 2024 · Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 1*
24. [CoT-based Data Augmentation Strategy for Persuasion Techniques Detection](https://aclanthology.org/2024.semeval-1.190/) *— 2024 · Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)*
25. [DUTh at SemEval 2024 Task 8: Comparing classic Machine Learning Algorithms and LLM based methods for Multigenerator, Multidomain and Multilingual Machine-Generated Text Detection](https://aclanthology.org/2024.semeval-1.156/) *— 2024 · Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)*
26. [Introduction to Machine Learning](https://arxiv.org/abs/2409.02668) *— 2024 · arXiv:2409.02668*
27. [Lex2Sent: A bagging approach to unsupervised sentiment analysis](https://aclanthology.org/2024.konvens-main.28/) *— 2024 · Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024)*
28. [MBZUAI-UNAM at SemEval-2024 Task 1: Sentence-CROBI, a Simple Cross-Bi-Encoder-Based Neural Network Architecture for Semantic Textual Relatedness](https://aclanthology.org/2024.semeval-1.155/) *— 2024 · Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)*
29. [MERE: A Deep Learning Architecture Using Multi-Fragment Ensemble for Relation Extraction](https://aclanthology.org/2024.paclic-1.26/) *— 2024 · Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation*
30. [Soft Self-Consistency Improves Language Models Agents](https://aclanthology.org/2024.acl-short.28/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
31. [TAeKD: Teacher Assistant Enhanced Knowledge Distillation for Closed-Source Multilingual Neural Machine Translation](https://aclanthology.org/2024.lrec-main.1350/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
32. [Text Mining at SemEval-2024 Task 1: Evaluating Semantic Textual Relatedness in Low-resource Languages using Various Embedding Methods and Machine Learning Regression Models](https://aclanthology.org/2024.semeval-1.65/) *— 2024 · Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)*
33. [Tree-Averaging Algorithms for Ensemble-Based Unsupervised Discontinuous Constituency Parsing](https://aclanthology.org/2024.acl-long.808/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
34. [Automatic Model Selection with Large Language Models for Reasoning](https://aclanthology.org/2023.findings-emnlp.55/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
35. [DREAM: Deployment of Recombination and Ensembles in Argument Mining](https://aclanthology.org/2023.emnlp-main.320/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
36. [Deep Model Fusion: A Survey](https://arxiv.org/abs/2309.15698) *— 2023 · arXiv:2309.15698*
37. [DiverseNet: Decision Diversified Semi-supervised Semantic Segmentation Networks for Remote Sensing Imagery](https://arxiv.org/abs/2311.13716) *— 2023 · arXiv:2311.13716*
38. [HITS at DISRPT 2023: Discourse Segmentation, Connective Detection, and Relation Classification](https://aclanthology.org/2023.disrpt-1.4/) *— 2023 · Proceedings of the 3rd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2023)*
39. [JCT at SemEval-2023 Tasks 12 A and 12B: Sentiment Analysis for Tweets Written in Low-resource African Languages using Various Machine Learning and Deep Learning Methods, Resampling, and HyperParameter Tuning](https://aclanthology.org/2023.semeval-1.49/) *— 2023 · Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)*
40. [MGR: Multi-generator Based Rationalization](https://aclanthology.org/2023.acl-long.715/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
41. [Multi-teacher knowledge distillation as an effective method for compressing ensembles of neural networks](https://arxiv.org/abs/2302.07215) *— 2023 · arXiv:2302.07215*
42. [Relation-aware Ensemble Learning for Knowledge Graph Embedding](https://aclanthology.org/2023.emnlp-main.1034/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
43. [Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies](https://aclanthology.org/2023.eacl-main.16/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
44. [Tree Prompting: Efficient Task Adaptation without Fine-Tuning](https://aclanthology.org/2023.emnlp-main.384/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
45. [UKP-SQuARE v3: A Platform for Multi-Agent QA Research](https://aclanthology.org/2023.acl-demo.55/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
46. [Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models](https://arxiv.org/abs/2208.03306) *— 2022 · arXiv:2208.03306*
47. [Continuing Pre-trained Model with Multiple Training Strategies for Emotional Classification](https://aclanthology.org/2022.wassa-1.22/) *— 2022 · Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis*
48. [Ensemble-based Fine-Tuning Strategy for Temporal Relation Extraction from the Clinical Narrative](https://aclanthology.org/2022.clinicalnlp-1.11/) *— 2022 · Proceedings of the 4th Clinical Natural Language Processing Workshop*
49. [Experimenting with ensembles of pre-trained language models for classification of custom legal datasets](https://aclanthology.org/2022.icnlsp-1.8/) *— 2022 · Proceedings of the 5th International Conference on Natural Language and Speech Processing (ICNLSP 2022)*
50. [MTG: A Benchmark Suite for Multilingual Text Generation](https://aclanthology.org/2022.findings-naacl.192/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
51. [Measuring Robustness for NLP](https://aclanthology.org/2022.coling-1.343/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
52. [Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time](https://arxiv.org/abs/2203.05482) *— 2022 · arXiv:2203.05482*
53. [PROFET: Profiling-based CNN Training Latency Prophet for GPU Cloud Instances](https://arxiv.org/abs/2208.05130) *— 2022 · arXiv:2208.05130*
54. [SketchBoost: Fast Gradient Boosted Decision Tree for Multioutput Problems](https://arxiv.org/abs/2211.12858) *— 2022 · arXiv:2211.12858*
55. [WASSA 2022 Shared Task: Predicting Empathy, Emotion and Personality in Reaction to News Stories](https://aclanthology.org/2022.wassa-1.20/) *— 2022 · Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis*
56. [Accounting for Variance in Machine Learning Benchmarks](https://arxiv.org/abs/2103.03098) *— 2021 · arXiv:2103.03098*
57. [Devil”s Advocate: Novel Boosting Ensemble Method from Psychological Findings for Text Classification](https://aclanthology.org/2021.findings-emnlp.187/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
58. [Dynamic Ensembles in Named Entity Recognition for Historical Arabic Texts](https://aclanthology.org/2021.wanlp-1.12/) *— 2021 · Proceedings of the Sixth Arabic Natural Language Processing Workshop*
59. [Enhancing Transformers with Gradient Boosted Decision Trees for NLI Fine-Tuning](https://aclanthology.org/2021.findings-acl.26/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
60. [Ensembling Graph Predictions for AMR Parsing](https://arxiv.org/abs/2110.09131) *— 2021 · arXiv:2110.09131*
61. [Sensei: Self-Supervised Sensor Name Segmentation](https://aclanthology.org/2021.findings-acl.87/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
62. [ur-iw-hnt at GermEval 2021: An Ensembling Strategy with Multiple BERT Models](https://aclanthology.org/2021.germeval-1.12/) *— 2021 · Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments*
63. [Bao: Learning to Steer Query Optimizers](https://arxiv.org/abs/2004.03814) *— 2020 · arXiv:2004.03814*
64. [Dynamic Classification in Web Archiving Collections](https://aclanthology.org/2020.lrec-1.182/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
65. [Fontana-Unipi @ HaSpeeDe2: Ensemble of transformers for the Hate Speech task at Evalita (short paper)](https://aclanthology.org/2020.evalita-1.21/) *— 2020 · Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2020)*
66. [JCT at SemEval-2020 Task 12: Offensive Language Detection in Tweets Using Preprocessing Methods, Character and Word N-grams](https://aclanthology.org/2020.semeval-1.266/) *— 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation*
67. [Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence](https://arxiv.org/abs/2002.04803) *— 2020 · arXiv:2002.04803*
68. [Multi-Unit Transformers for Neural Machine Translation](https://aclanthology.org/2020.emnlp-main.77/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
69. [Reed at SemEval-2020 Task 9: Fine-Tuning and Bag-of-Words Approaches to Code-Mixed Sentiment Analysis](https://aclanthology.org/2020.semeval-1.176/) *— 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation*
70. [Ensembles of Neural Morphological Inflection Models](https://aclanthology.org/W19-6132/) *— 2019 · Proceedings of the 22nd Nordic Conference on Computational Linguistics*
71. [MITRE at SemEval-2019 Task 5: Transfer Learning for Multilingual Hate Speech Detection](https://aclanthology.org/S19-2080/) *— 2019 · Proceedings of the 13th International Workshop on Semantic Evaluation*
72. [Minibatch Processing in Spiking Neural Networks](https://arxiv.org/abs/1909.02549) *— 2019 · arXiv:1909.02549*
73. [Perturbation Based Learning for Structured NLP Tasks with Application to Dependency Parsing](https://aclanthology.org/Q19-1041/) *— 2019 · Transactions of the Association for Computational Linguistics*
74. [QASC: A Dataset for Question Answering via Sentence Composition](https://arxiv.org/abs/1910.11473) *— 2019 · arXiv:1910.11473*
75. [Robust Text Classifier on Test-Time Budgets](https://aclanthology.org/D19-1108/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
76. [Benchmarking and Optimization of Gradient Boosting Decision Tree Algorithms](https://arxiv.org/abs/1809.04559) *— 2018 · arXiv:1809.04559*
77. [Detecting Diabetes Risk from Social Media Activity](https://aclanthology.org/W18-5601/) *— 2018 · Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis*
78. [HUMIR at IEST-2018: Lexicon-Sensitive and Left-Right Context-Sensitive BiLSTM for Implicit Emotion Recognition](https://aclanthology.org/W18-6225/) *— 2018 · Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis*
79. [IRISA at SMM4H 2018: Neural Network and Bagging for Tweet Classification](https://aclanthology.org/W18-5913/) *— 2018 · Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task*
80. [Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset](https://aclanthology.org/N18-2005/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)*
81. [Native Language Identification With Classifier Stacking and Ensembles](https://aclanthology.org/J18-3003/) *— 2018 · Computational Linguistics*
82. [Second Language Acquisition Modeling: An Ensemble Approach](https://aclanthology.org/W18-0525/) *— 2018 · Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications*
83. [Charmanteau: Character Embedding Models For Portmanteau Creation](https://aclanthology.org/D17-1315/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
84. [Hunter MT: A Course for Young Researchers in WMT17](https://aclanthology.org/W17-4744/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
85. [Machine Learning Approach to Evaluate MultiLingual Summaries](https://aclanthology.org/W17-1007/) *— 2017 · Proceedings of the MultiLing 2017 Workshop on Summarization and Summary Evaluation Across Source Types and Genres*
86. [New perspectives on cohesion and coherence: Implications for translation (Language Science Press, Translation and Multilingual Natural Language Processing, 2017)](https://md.research.elamur.ai/free/en/papers/kunz-2017-new-perspectives-cohesion-coherence/) *— our card · 2017 · edited-volume*
87. [Biomolecular Event Extraction using a Stacked Generalization based Classifier](https://aclanthology.org/W16-6308/) *— 2016 · Proceedings of the 13th International Conference on Natural Language Processing*
88. [If You Even Don”t Have a Bit of Bible: Learning Delexicalized POS Taggers](https://aclanthology.org/L16-1015/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
89. [LTG at SemEval-2016 Task 11: Complex Word Identification with Classifier Ensembles](https://aclanthology.org/S16-1154/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
90. [Pomona at SemEval-2016 Task 11: Predicting Word Complexity Based on Corpus Frequency](https://aclanthology.org/S16-1164/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
91. [Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles](https://arxiv.org/abs/1612.01474) *— 2016 · arXiv:1612.01474*
92. [iLab-Edinburgh at SemEval-2016 Task 7: A Hybrid Approach for Determining Sentiment Intensity of Arabic Twitter Phrases](https://aclanthology.org/S16-1077/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
93. [A Multi-classifier Approach to support Coreference Resolution in a Vector Space Model](https://aclanthology.org/W15-1503/) *— 2015 · Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing*
94. [CODRA: A Novel Discriminative Framework for Rhetorical Analysis](https://aclanthology.org/J15-3002/) *— 2015 · Computational Linguistics*
95. [Feature Reduction Using Ensemble Approach](https://aclanthology.org/Y15-2036/) *— 2015 · Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation: Posters*
96. [Language Identification using Classifier Ensembles](https://aclanthology.org/W15-5407/) *— 2015 · Proceedings of the Joint Workshop on Language Technology for Closely Related Languages, Varieties and Dialects*
97. [Sentiment Classification of Arabic Documents: Experiments with multi-type features and ensemble algorithms](https://aclanthology.org/Y15-1023/) *— 2015 · Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation*
98. [Webis: An Ensemble for Twitter Sentiment Detection](https://aclanthology.org/S15-2097/) *— 2015 · Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)*
99. [類神經網路訓練結合環境群集及專家混合系統於強健性語音辨識(Automatic Speech Recognition using Neural Network based Acoustic Model with the Environment Clustering and Mixture of Experts Algorithms) In Chinese](https://aclanthology.org/O15-1014/) *— 2015 · Proceedings of the 27th Conference on Computational Linguistics and Speech Processing (ROCLING 2015)*
100. [A Comparative Study of Different Classification Methods for the Identification of Brazilian Portuguese Multiword Expressions](https://aclanthology.org/W14-5706/) *— 2014 · Proceedings of the First Workshop on Computational Approaches to Compound Analysis (ComAComA 2014)*

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/breiman-1996-bagging-predictors/cited-by/page/2/)