---
title: "Who cites Inherent Disagreements in Human Textual…"
description: "240 papers of the Elamur Research library cite «Inherent Disagreements in Human Textual Inferences», found in their bibliographies · page 2 of 2; the…"
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# Who cites «Inherent Disagreements in Human Textual Inferences»

240 papers of our library cite it (of the 140884 whose bibliographies we read) · 34 with a page here, the most cited first · page 2 of 2 · [← the paper](https://md.research.elamur.ai/free/en/papers/pavlick-2019-inherent-disagreements-human-textual-inferences/)

[← prev](https://md.research.elamur.ai/free/en/papers/pavlick-2019-inherent-disagreements-human-textual-inferences/cited-by/) [1](https://md.research.elamur.ai/free/en/papers/pavlick-2019-inherent-disagreements-human-textual-inferences/cited-by/) **2**

- [When Truth Matters - Addressing Pragmatic Categories in Natural Language Inference (NLI) by Large Language Models (LLMs)](https://md.research.elamur.ai/free/en/papers/gubelmann-2023-when-truth-matters-addressing-pragmatic/) — Reto Gubelmann, Aikaterini-lida Kalouli, Christina Niklaus, et al. · 2023 · 15 citations
- ["I'll be there for you": The One with Understanding Indirect Answers](https://md.research.elamur.ai/free/en/papers/damgaard-2021-i-ll-be-there-you/) — Cathrine Damgaard, Paulina Toborek, Trine Eriksen, et al. · 2021 · 13 citations
- [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/) — Beiduo Chen, Siyao Peng, Anna Korhonen, et al. · 2025 · 9 citations
- [SIGA: A Naturalistic NLI Dataset of English Scalar Implicatures with Gradable Adjectives](https://md.research.elamur.ai/free/en/papers/nizamani-2024-siga-naturalistic-nli-dataset-english/) — Rashid Nizamani, Sebastian Schuster, Vera Demberg · 2024 · 8 citations
- [Can LLMs Evaluate What They Cannot Annotate? Revisiting LLM Reliability in Hate Speech Detection](https://md.research.elamur.ai/free/en/papers/piot-2026-can-llms-evaluate-what-they/) — Paloma Piot, David Otero, Patricia Martin-Rodilla, et al. · 2026 · 5 citations
- [Exploring Soft-Label Training for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/costa-2024-exploring-soft-label-training-implicit/) — Nelson Filipe Costa, Leila Kosseim · 2024 · 4 citations
- [SynthLLM: An LLM-based Scalable Synthetic Data Generation Pipeline for Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/panahi-2026-synthllm-llm-based-scalable-synthetic/) — Solmaz Panahi, Vasudevan Nedumpozhimana, John Kelleher · 2026 · 1 citation
- [DIDECO: An Annotated Dataset for Intent Detection in Digital Communications](https://md.research.elamur.ai/free/en/papers/popovic-2026-dideco-annotated-dataset-intent-detection/) — Senaid Popovic, Damien Riquet, Maxime Meyer, et al. · 2026
- [Human Temporal Inferences Go Beyond Aspectual Class](https://md.research.elamur.ai/free/en/papers/prus-2024-human-temporal-inferences-go-beyond/) — Katarzyna Pruś, Mark Steedman, Adam Lopez · 2024

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