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home / docs / papers / cited-by / Who cites «A Corpus for Reasoning About Natural Language Grounded in Photographs (NLVR2)» · page 2

Who cites «A Corpus for Reasoning About Natural Language Grounded in Photographs (NLVR2)» · page 2

192 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

Pages: 1 · 2

  1. Evaluating Models' Local Decision Boundaries via Contrast Sets — our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  2. Experience Grounds Language — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  3. How Can We Accelerate Progress Towards Human-like Linguistic Generalization? — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  4. Learning to Represent Image and Text with Denotation Graph — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  5. MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  6. New Protocols and Negative Results for Textual Entailment Data Collection — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  7. Obtaining Faithful Interpretations from Compositional Neural Networks — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  8. Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks — 2020 · arXiv:2004.06165
  9. Profile Consistency Identification for Open-domain Dialogue Agents — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  10. Representation, Learning and Reasoning on Spatial Language for Downstream NLP Tasks — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts
  11. The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes — 2020 · arXiv:2005.04790
  12. Understanding tables with intermediate pre-training — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  13. VD-BERT: A Unified Vision and Dialog Transformer with BERT — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  14. What Does BERT with Vision Look At? — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  15. X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  16. 多模态视觉语言表征学习研究综述 — 2020 · 软件学报 (Journal of Software)
  17. Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  18. Expressing Visual Relationships via Language — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  19. GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering — 2019 · arXiv:1902.09506
  20. Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  21. LXMERT: Learning Cross-Modality Encoder Representations from Transformers — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  22. Neural Naturalist: Generating Fine-Grained Image Comparisons — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  23. TabFact: A Large-scale Dataset for Table-based Fact Verification — 2019 · arXiv:1909.02164
  24. UNITER: UNiversal Image-TExt Representation Learning — 2019 · arXiv:1909.11740
  25. VisualBERT: A Simple and Performant Baseline for Vision and Language — 2019 · arXiv:1908.03557
  26. Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments — 2018 · arXiv:1811.12354 · Published in CVPR 2019
  27. akula-2021-mind-context-impact-contextualization-neural
  28. anugraha-2025-m4-rag-massive-scale-multilingual
  29. attwell-2024-attribute-diversity-determines-systematicity-gap
  30. banerjee-2026-mischief-benchmark-minimal-pairs-safety
  31. bexte-2024-evil-probe-composite-benchmark-extensive
  32. bugliarello-2023-weakly-supervised-learning-visual-relations
  33. byun-2024-efficient-post-hoc-framework-reducing
  34. cafagna-2022-understanding-cross-modal-interactions-v
  35. cai-2023-task-attentive-transformer-architecture-continual
  36. carragher-2025-quantifying-memorization-parametric-response-rates
  37. chen-2022-end-end-unsupervised-vision-language
  38. chen-2023-weakly-supervised-vision-language-pre
  39. choi-2024-transfercvlm-transferring-cross-modal-knowledge
  40. chow-2023-travlr-now-you-see-it
  41. das-2026-more-images-more-problems-controlled
  42. dhor-2026-itnet-learnable-integral-transform-that
  43. gao-2025-do-vision-language-models-have
  44. garcia-2023-processing-referential-ambiguities-situated-dialogue
  45. guhan-2024-tame-rd-text-assisted-replication
  46. hahn-2022-transformer-based-localization-embodied-dialog
  47. hakimov-2023-images-language-space-exploring-suitability
  48. hu-2023-meta-learning-vision-language-cross
  49. iokawa-2024-visual-textual-entailment-quantities-model
  50. jiang-2023-vision-language-pre-training-contrastive
  51. kim-2024-sparseflow-accelerating-transformers-sparsifying-information
  52. kim-2026-localizing-events-space-comparing-humans
  53. kordjamshidi-2024-spatial-temporal-language-understanding-representation
  54. kundu-2025-looking-beyond-pixels-evaluating-visual
  55. lee-2025-tamp-token-adaptive-layerwise-pruning
  56. li-2024-frog-evaluating-fuzzy-reasoning-generalized
  57. lin-2020-adjusting-image-attributes-localized-regions
  58. liu-2024-dora-weight-decomposed-low-rank
  59. liu-2024-finecops-ref-new-dataset-task
  60. liu-2024-mibench-evaluating-multimodal-large-language
  61. manea-2025-multilingual-vision-language-models-survey
  62. martin-2026-clevr-3d-deref
  63. parfenova-2021-probing-cross-modal-representations-multi
  64. patil-2023-debiasing-multimodal-models-causal-information
  65. pikabea-2025-breaking-language-barriers-visual-language
  66. ravishankara-2025-artificial-intelligence-cognitive-examination-survey
  67. reinhardt-2024-improving-vision-language-cross-lingual
  68. ren-2022-leaner-faster-two-stage-model
  69. ruan-2021-sattiy-semeval-2021-task-9
  70. salin-2023-etat-des-lieux-des-transformers
  71. samin-2025-colorfoil-investigating-color-blindness-large
  72. shin-2021-transformer-exclusive-cross-modal-representation
  73. sun-2023-fusion-or-defusion-flexible-vision
  74. sun-2024-lightvlp-lightweight-vision-language-pre
  75. suzuki-2021-building-video-language-dataset-human
  76. tater-2025-absvis-benchmarking-how-humans-vision
  77. tou-2024-curriculum-masking-vision-language-pretraining
  78. vickers-2021-factuality-efficient-integration-relevant-facts
  79. wang-2022-anchor-based-relative-position-embedding
  80. wang-2023-accelerating-vision-language-pretraining-free
  81. wang-2023-dataset-bias-mitigation-multiple-choice
  82. wang-2024-browse-concentrate-comprehending-multimodal-content
  83. wang-2024-smarttrim-adaptive-tokens-attention-pruning
  84. wu-2023-lilgym-natural-language-visual-reasoning
  85. wu-2024-vdebugger-harnessing-execution-feedback-debugging
  86. wu-2025-glyphpattern-abstract-pattern-recognition-vision
  87. xu-2023-managertower-aggregating-insights-uni-modal
  88. xu-2024-multiskill-evaluating-large-multimodal-models
  89. yanaka-2023-medical-visual-textual-entailment-numerical
  90. zhang-2023-building-general-foundation-models-language
  91. zhao-2025-realbench-chinese-multi-image-understanding
  92. zhu-2022-generalization-differences-between-end-end

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