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# Who cites «Inherent Disagreements in Human Textual Inferences» · page 3

240 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/pavlick-2019-inherent-disagreements-human-textual-inferences/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/pavlick-2019-inherent-disagreements-human-textual-inferences/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/pavlick-2019-inherent-disagreements-human-textual-inferences-2/) · **3**

1. islam-2026-cognac-semeval-2026-task-5
2. jain-2025-annotation-protocol-diachronic-evaluation-semantic
3. jiang-2024-addressing-binning-problem-calibration-assessment
4. jie-2025-llms-struggle-nli-perfect-aspect
5. kamath-2026-humans-llms-diverge-probabilistic-inferences
6. kawarada-2026-gain-benchmark-goal-aligned-decision
7. keith-2020-uncertainty-over-uncertainty-investigating-assumptions
8. li-2022-overconfidence-face-ambiguity-adversarial-data
9. li-2025-are-humans-as-brittle-as
10. li-2026-proxy-presumption-semantic-embeddings-valid
11. lin-2024-sentence-space-metrics-ssm-evaluation
12. liu-2025-conflicts-texts-data-implications-challenges
13. mickus-2025-your-model-is-overconfident-other
14. mikulova-2025-label-bias-symbolic-representation-meaning
15. mohammadi-2025-assessing-reliability-llms-annotations-context
16. owan-2023-quirk-or-palmer-comparative-study
17. paakki-2025-implicit-indirect-detecting-face-threatening
18. park-2023-deep-model-compression-also-helps
19. pofcher-2025-hope-vs-hate-understanding-user
20. prus-2025-world-knowledge-resolves-some-aspectual
21. radharapu-2025-arbiters-ambivalence-challenges-llms-no
22. rair-2025-when-annotators-disagree-topology-explains
23. ravikiran-2025-teemil-educational-mcq-difficulty-estimation
24. rodriguez-2024-x-parade-cross-lingual-textual
25. rosenblatt-2022-critical-perspectives-benchmark-revealing-pitfalls
26. sanghani-2025-mcmaster-lewidi-2025-demographic-aware
27. santos-2025-robust-estimation-population-level-effects
28. sitter-2025-annotating-spatial-descriptions-literary-non
29. soeder-2023-crowdsourcing-veridicality-annotations-spanish-can
30. srikanth-2025-mixed-signals-understanding-model-disagreement
31. staliunaite-2025-dis2dis-explaining-ambiguity-fact-checking
32. subbiah-2025-is-top-still-spinning-evaluating
33. sugawara-2023-degrees-freedom-defining-testing-natural
34. talukdar-2021-training-dynamic-based-data-filtering
35. vasilets-2024-detecting-perspective-getting-wikipedia-discussions
36. wang-2022-noisy-label-regularisation-textual-regression
37. wang-2025-identification-multiple-logical-interpretations-counter
38. zaghouani-2026-lost-dialect-annotation-gap-multilingual
39. zhang-2024-chambi-new-benchmark-chinese-ambiguity
40. zhang-2024-senticvec-robust-human-centric-neurosymbolic

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/pavlick-2019-inherent-disagreements-human-textual-inferences/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/pavlick-2019-inherent-disagreements-human-textual-inferences-2/) · **3**

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