---
title: "Who cites Ecologically Valid Explanations — 19 citing papers"
description: "19 papers of the Elamur Research library cite «Ecologically Valid Explanations for Label Variation in NLI», found in their bibliographies; the…"
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---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Ecologically Valid Explanations for Label…](https://md.research.elamur.ai/free/en/papers/jiang-2023-ecologically-valid-explanations-label-variation/) / cited by

# Who cites «Ecologically Valid Explanations for Label Variation in NLI»

19 papers of our library cite it (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · [← back to «Ecologically Valid Explanations for Label Variation in NLI»](https://md.research.elamur.ai/free/en/papers/jiang-2023-ecologically-valid-explanations-label-variation/)

1. **[VariErr NLI: Separating Annotation Error from Human Label Variation](https://md.research.elamur.ai/free/en/papers/genzel-2024-varierr-nli-separating-annotation-error/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Leon Weber-Genzel, Siyao Peng, Marie-Catherine De Marneffe, et al.*2024 · 51 citations*
2. **[“Seeing the Big through the Small”: Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?](https://md.research.elamur.ai/free/en/papers/chen-2024-seeing-big-through-small-can/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Beiduo Chen, Xinpeng Wang, Siyao Peng, et al.*2024 · 18 citations*
3. **[A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI](https://md.research.elamur.ai/free/en/papers/chen-2025-rose-any-other-name-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Beiduo Chen, Siyao Peng, Anna Korhonen, et al.*2025 · 9 citations*
4. **[LiTEx: A Linguistic Taxonomy of Explanations for Understanding Within-Label Variation in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/hong-2025-litex-linguistic-taxonomy-explanations-understanding/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Pingjun Hong, Beiduo Chen, Siyao Peng, et al.*2025 · 8 citations*
5. **[Agree, Disagree, Explain: Decomposing Human Label Variation in NLI through the Lens of Explanations](https://md.research.elamur.ai/free/en/papers/hong-2026-agree-disagree-explain-decomposing-human/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Pingjun Hong, Beiduo Chen, Siyao Peng, et al.*2026 · 3 citations*
6. **[Label and Explanation Variation in LLM-Based Annotation: a Case Study in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/kulmizev-2026-label-explanation-variation-llm-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Artur Kulmizev, Erika Lombart, Patrick Watrin, et al.*2026 · 2 citations*
7. **[EVADE: LLM-Based Explanation Generation and Validation for Error Detection in NLI](https://md.research.elamur.ai/free/en/papers/zuo-2026-evade-llm-based-explanation-generation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Longfei Zuo, Barbara Plank, Siyao Peng*2026 · 1 citation*
8. **[Beyond Annotator Disagreement: Guideline-Induced Errors in Arabic Hate Speech Annotation](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-beyond-annotator-disagreement-guideline-induced/) [Linguistic Annotation Workshop (LAW)](https://md.research.elamur.ai/free/en/venues/law/)**Wajdi Zaghouani*2026*
9. **[Can You Be More Explicit? A Task and Dataset on Explicitations of Implicit Meaning](https://md.research.elamur.ai/free/en/papers/zeidler-2026-can-you-be-more-explicit/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Laura Zeidler, Michael Roth*2026*

10 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/jiang-2023-ecologically-valid-explanations-label-variation/) — Ecologically Valid Explanations for Label Variation in NLI