---
title: "Who cites Elaborative Simplification as Implicit Questions…"
description: "The papers of the Elamur Research library that cite «Elaborative Simplification as Implicit Questions Under Discussion», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/wu-2023-elaborative-simplification-as-implicit-questions/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Elaborative Simplification as Implicit Questions…](https://md.research.elamur.ai/free/en/papers/wu-2023-elaborative-simplification-as-implicit-questions/) / cited by

# Who cites «Elaborative Simplification as Implicit Questions Under Discussion»

14 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/wu-2023-elaborative-simplification-as-implicit-questions/)

1. [A Meta-evaluation of Automatic Metrics for Elaborative Simplification](https://aclanthology.org/2026.readi-1.15/) *— 2026 · Proceedings of the Joint Workshop on Readability and Text Simplification (READIxTSAR) @ LREC 2026*
2. [Can You Be More Explicit? A Task and Dataset on Explicitations of Implicit Meaning](https://aclanthology.org/2026.starsem-conference.12/) *— 2026 · Proceedings of the 15th Joint Conference on Lexical and Computational Semantics (*SEM 2026)*
3. [Which course? Discourse! Teaching Discourse and Generation in the Era of LLMs](https://aclanthology.org/2026.teachingnlp-1.9/) *— 2026 · Proceedings of the Seventh Workshop on Teaching Natural Language Processing (TeachNLP 2026)*
4. [A Survey of QUD Models for Discourse Processing](https://md.research.elamur.ai/free/en/papers/fu-2025-survey-qud-models-discourse-processing/) *— our card · 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)*
5. [Behavioral Analysis of Information Salience in Large Language Models](https://aclanthology.org/2025.findings-acl.1204/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
6. [Explanatory Summarization with Discourse-Driven Planning](https://aclanthology.org/2025.tacl-1.53/) *— 2025 · Transactions of the Association for Computational Linguistics*
7. [Generating Questions Under Discussion with Reinforcement Learning using Ranking and Scoring for Reward and Evaluation](https://aclanthology.org/2025.findings-ijcnlp.35/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
8. [What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentations](https://aclanthology.org/2025.acl-long.310/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
9. [Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions](https://aclanthology.org/2024.acl-long.317/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
10. [Which questions should I answer? Salience Prediction of Inquisitive Questions](https://aclanthology.org/2024.emnlp-main.1114/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
11. [A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documents](https://aclanthology.org/2023.emnlp-main.193/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
12. [BooookScore: A systematic exploration of book-length summarization in the era of LLMs](https://arxiv.org/abs/2310.00785) *— 2023 · arXiv:2310.00785*
13. [Bridging Background Knowledge Gaps in Translation with Automatic Explicitation](https://aclanthology.org/2023.emnlp-main.603/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
14. [QUDeval: The Evaluation of Questions Under Discussion Discourse Parsing](https://md.research.elamur.ai/free/en/papers/wu-2023-qudeval-evaluation-questions-under-discussion/) *— our card · 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*