---
title: "Who cites Neural Models of Factuality"
description: "The papers of the Elamur Research library that cite «Neural Models of Factuality», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/rudinger-2018-neural-models-factuality/cited-by/"
---
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# Who cites «Neural Models of Factuality»

52 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/rudinger-2018-neural-models-factuality/)

1. [From Factuality to Meta-Factivity: A Cognitive Blueprint for Trustworthy LLMs](https://aclanthology.org/2026.acl-short.7/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
2. [Modal Dependency Parsing as Structured Prediction over Source-Cue Scope](https://aclanthology.org/2026.acl-long.1362/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [Modal Dependency Parsing via Biaffine Attention with Self-Loop](https://aclanthology.org/2025.findings-acl.1093/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
4. [Overview of CCL25-Eval Task 4: Factivity Inference Evaluation 2025](https://aclanthology.org/2025.ccl-2.20/) *— 2025 · Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)*
5. [Zero-Shot Belief: A Hard Problem for LLMs](https://aclanthology.org/2025.codi-1.10/) *— 2025 · Proceedings of the 6th Workshop on Computational Approaches to Discourse, Context and Document-Level Inferences (CODI 2025)*
6. [BeLeaf: Belief Prediction as Tree Generation](https://aclanthology.org/2024.naacl-demo.10/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: System Demonstrations)*
7. [Beyond the Turn-Based Game: Enabling Real-Time Conversations with Duplex Models](https://aclanthology.org/2024.emnlp-main.644/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
8. [Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigm](https://aclanthology.org/2024.sighan-1.6/) *— 2024 · Proceedings of the 10th SIGHAN Workshop on Chinese Language Processing (SIGHAN-10)*
9. [Holmes \ensuremath\recorder A Benchmark to Assess the Linguistic Competence of Language Models](https://aclanthology.org/2024.tacl-1.88/) *— 2024 · Transactions of the Association for Computational Linguistics*
10. [How Can Client Motivational Language Inform Psychotherapy Agents?](https://aclanthology.org/2024.clpsych-1.3/) *— 2024 · Proceedings of the 9th Workshop on Computational Linguistics and Clinical Psychology (CLPsych 2024)*
11. [Leveraging Codebook Knowledge with NLI and ChatGPT for Zero-Shot Political Relation Classification](https://aclanthology.org/2024.acl-long.35/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
12. [MAVEN-FACT: A Large-scale Event Factuality Detection Dataset](https://aclanthology.org/2024.findings-emnlp.651/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
13. [Training LLMs to Recognize Hedges in Spontaneous Narratives](https://arxiv.org/abs/2408.03319) *— 2024 · SIGDIAL 2024*
14. [Evaluating Zero-Shot Event Structures: Recommendations for Automatic Content Extraction (ACE) Annotations](https://aclanthology.org/2023.acl-short.142/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
15. [Factuality Detection using Machine Translation – a Use Case for German Clinical Text](https://aclanthology.org/2023.konvens-main.9/) *— 2023 · Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023)*
16. [Finding Common Ground: Annotating and Predicting Common Ground in Spoken Conversations](https://aclanthology.org/2023.findings-emnlp.551/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
17. [MR4AP: Meaning Representation for Application Purposes](https://aclanthology.org/2023.dmr-1.11/) *— 2023 · Proceedings of the Fourth International Workshop on Designing Meaning Representations*
18. [Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models](https://aclanthology.org/2023.emnlp-main.335/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
19. [Towards Generative Event Factuality Prediction](https://aclanthology.org/2023.findings-acl.44/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
20. [BeSt: The Belief and Sentiment Corpus](https://aclanthology.org/2022.lrec-1.262/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
21. [Document-level Event Factuality Identification via Machine Reading Comprehension Frameworks with Transfer Learning](https://aclanthology.org/2022.coling-1.231/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
22. [Examining Political Rhetoric with Epistemic Stance Detection](https://aclanthology.org/2022.nlpcss-1.11/) *— 2022 · Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS)*
23. [MiST: a Large-Scale Annotated Resource and Neural Models for Functions of Modal Verbs in English Scientific Text](https://aclanthology.org/2022.findings-emnlp.94/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
24. [Modal Dependency Parsing via Language Model Priming](https://aclanthology.org/2022.naacl-main.211/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
25. [Re-Examining FactBank: Predicting the Author”s Presentation of Factuality](https://aclanthology.org/2022.coling-1.66/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
26. [Does It Happen? Multi-hop Path Structures for Event Factuality Prediction with Graph Transformer Networks](https://aclanthology.org/2021.wnut-1.6/) *— 2021 · Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)*
27. [Factuality Assessment as Modal Dependency Parsing](https://aclanthology.org/2021.acl-long.122/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
28. [He Thinks He Knows Better than the Doctors: BERT for Event Factuality Fails on Pragmatics](https://md.research.elamur.ai/free/en/papers/jiang-2021-he-thinks-he-knows-better/) *— our card · 2021*
29. [The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processing](https://md.research.elamur.ai/free/en/papers/pyatkin-2021-possible-plausible-desirable-event-based/) *— our card · 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
30. [Uncertain Local-to-Global Networks for Document-Level Event Factuality Identification](https://aclanthology.org/2021.emnlp-main.207/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
31. [Causal Inference of Script Knowledge](https://aclanthology.org/2020.emnlp-main.612/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
32. [Detecting Stance in Media On Global Warming](https://aclanthology.org/2020.findings-emnlp.296/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
33. [Harnessing the linguistic signal to predict scalar inferences](https://md.research.elamur.ai/free/en/papers/schuster-2020-harnessing-linguistic-signal-predict-scalar/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
34. [The Universal Decompositional Semantics Dataset and Decomp Toolkit](https://aclanthology.org/2020.lrec-1.699/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
35. [Uncertain Natural Language Inference](https://aclanthology.org/2020.acl-main.774/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
36. [Universal Decompositional Semantic Parsing](https://aclanthology.org/2020.acl-main.746/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
37. [Do You Know That Florence Is Packed with Visitors? Evaluating State-of-the-art Models of Speaker Commitment](https://aclanthology.org/P19-1412/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
38. [Document-Level Event Factuality Identification via Adversarial Neural Network](https://aclanthology.org/N19-1287/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
39. [Enabling Search and Collaborative Assembly of Causal Interactions Extracted from Multilingual and Multi-domain Free Text](https://aclanthology.org/N19-4003/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations)*
40. [Fine-Grained Temporal Relation Extraction](https://aclanthology.org/P19-1280/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
41. [From ”F” to ”A” on the N.Y. Regents Science Exams: An Overview of the Aristo Project](https://arxiv.org/abs/1909.01958) *— 2019 · arXiv:1909.01958*
42. [Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures](https://md.research.elamur.ai/free/en/papers/veyseh-2019-graph-based-neural-networks-event/) *— our card · 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
43. [How well do NLI models capture verb veridicality?](https://md.research.elamur.ai/free/en/papers/ross-2019-how-well-do-nli-models/) *— our card · 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)*
44. [Linguistic Knowledge and Transferability of Contextual Representations](https://aclanthology.org/N19-1112/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
45. [Literary Event Detection](https://aclanthology.org/P19-1353/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
46. [Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches](https://arxiv.org/abs/1904.01172) *— 2019 · arXiv:1904.01172*
47. [Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/mccoy-2019-right-wrong-reasons-diagnosing-syntactic/) *— our card · 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
48. [Unsupervised Discovery of Gendered Language through Latent-Variable Modeling](https://aclanthology.org/P19-1167/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
49. [Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation](https://aclanthology.org/D18-1007/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
50. [Cross-lingual Decompositional Semantic Parsing](https://aclanthology.org/D18-1194/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
51. [Lexicosyntactic Inference in Neural Models](https://aclanthology.org/D18-1501/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
52. [Neural-Davidsonian Semantic Proto-role Labeling](https://aclanthology.org/D18-1114/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*