Mova0.5 pre-release⌕
☰
home / docs / papers / cited-by / Who cites «Inherent Disagreements in Human Textual Inferences» · page 3

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

Pages: 1 · 2 · 3

  1. jain-2025-annotation-protocol-diachronic-evaluation-semantic
  2. jiang-2024-addressing-binning-problem-calibration-assessment
  3. jie-2025-llms-struggle-nli-perfect-aspect
  4. kamath-2026-humans-llms-diverge-probabilistic-inferences
  5. kawarada-2026-gain-benchmark-goal-aligned-decision
  6. keith-2020-uncertainty-over-uncertainty-investigating-assumptions
  7. li-2022-overconfidence-face-ambiguity-adversarial-data
  8. li-2025-are-humans-as-brittle-as
  9. li-2026-proxy-presumption-semantic-embeddings-valid
  10. lin-2024-sentence-space-metrics-ssm-evaluation
  11. liu-2025-conflicts-texts-data-implications-challenges
  12. mickus-2025-your-model-is-overconfident-other
  13. mikulova-2025-label-bias-symbolic-representation-meaning
  14. mohammadi-2025-assessing-reliability-llms-annotations-context
  15. owan-2023-quirk-or-palmer-comparative-study
  16. paakki-2025-implicit-indirect-detecting-face-threatening
  17. park-2023-deep-model-compression-also-helps
  18. pofcher-2025-hope-vs-hate-understanding-user
  19. prus-2024-human-temporal-inferences-go-beyond — our card
  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 · 2 · 3

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/cited-by/pavlick-2019-inherent-disagreements-human-textual-inferences-3/