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

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

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  1. Evaluating Discriminability of Vision-Language Models — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  2. Mind''s Eye: A Benchmark of Visual Abstraction, Transformation and Composition for Multimodal LLMs — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  3. Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  4. On the Additive Compositionality of Task Vectors in Vision–Language Models — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)
  5. S2H-DPO: Hardness-Aware Preference Optimization for Vision–Language Models — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  6. Burn After Reading: Do Multimodal Large Language Models Truly Capture Order of Events in Image Sequences? — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  7. Centurio: On Drivers of Multilingual Ability of Large Vision-Language Model — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  8. Evaluation of Multilingual Image Captioning: How far can we get with CLIP models? — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  9. MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  10. Weaving Context Across Images: Improving Vision-Language Models through Focus-Centric Visual Chains — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  11. What Is Missing in Multilingual Visual Reasoning and How to Fix It — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  12. Evaluating In-Context Learning of Libraries for Code Generation — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  13. Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling — 2024 · arXiv:2412.05271
  14. LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models — 2024 · arXiv:2407.07895
  15. LLaVA-OneVision: Easy Visual Task Transfer — 2024 · arXiv:2408.03326
  16. MANTIS: Interleaved Multi-Image Instruction Tuning — 2024 · arXiv:2405.01483 · Transactions on Machine Learning Research 2024
  17. Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  18. PaliGemma: A versatile 3B VLM for transfer — 2024 · arXiv:2407.07726
  19. Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  20. VISREAS: Complex Visual Reasoning with Unanswerable Questions — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  21. What Matters in Training a GPT4-Style Language Model with Multimodal Inputs? — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  22. What matters when building vision-language models? — 2024 · arXiv:2405.02246
  23. mBLIP: Efficient Bootstrapping of Multilingual Vision-LLMs — 2024 · Proceedings of the 3rd Workshop on Advances in Language and Vision Research (ALVR)
  24. mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models — 2024 · arXiv:2408.04840
  25. 中文图文多模态理解评测 — 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)
  26. An Empirical Study of Multimodal Model Merging — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  27. Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  28. Cultural Concept Adaptation on Multimodal Reasoning — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  29. Dealing with Semantic Underspecification in Multimodal NLP — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  30. EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  31. Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  32. LAVIS: A One-stop Library for Language-Vision Intelligence — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
  33. MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  34. MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning — 2023 · arXiv:2309.07915
  35. MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  36. Measuring Progress in Fine-grained Vision-and-Language Understanding — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  37. Modular Visual Question Answering via Code Generation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  38. Multitask Multimodal Prompted Training for Interactive Embodied Task Completion — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  39. Natural Language Reasoning, A Survey — 2023 · arXiv:2303.14725
  40. Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  41. PuMer: Pruning and Merging Tokens for Efficient Vision Language Models — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  42. RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  43. Scaling Vision-Language Models with Sparse Mixture of Experts — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  44. Text encoders bottleneck compositionality in contrastive vision-language models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  45. Unifying Cross-Lingual and Cross-Modal Modeling Towards Weakly Supervised Multilingual Vision-Language Pre-training — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  46. Vision-Language Models for Vision Tasks: A Survey — 2023 · arXiv:2304.00685
  47. Visual Spatial Reasoning — 2023
  48. What's ``up'' with vision-language models? Investigating their struggle with spatial reasoning — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  49. Abstract Visual Reasoning with Tangram Shapes — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  50. Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  51. AnaLog: Testing Analytical and Deductive Logic Learnability in Language Models — 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics
  52. BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation — 2022 · arXiv:2201.12086
  53. CoCa: Contrastive Captioners are Image-Text Foundation Models — 2022 · arXiv:2205.01917
  54. Distilled Dual-Encoder Model for Vision-Language Understanding — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  55. Do Vision-and-Language Transformers Learn Grounded Predicate-Noun Dependencies? — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  56. Finding Structural Knowledge in Multimodal-BERT — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  57. ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  58. Image Retrieval from Contextual Descriptions — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  59. Late Fusion with Triplet Margin Objective for Multimodal Ideology Prediction and Analysis — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  60. Learning to Generate Programs for Table Fact Verification via Structure-Aware Semantic Parsing — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  61. Multilingual Multimodal Learning with Machine Translated Text — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  62. Named Entity and Relation Extraction with Multi-Modal Retrieval — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  63. Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  64. Probing the Role of Positional Information in Vision-Language Models — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  65. SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training — 2022 · arXiv:2211.11446
  66. Semantically Distributed Robust Optimization for Vision-and-Language Inference — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  67. TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  68. VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  69. Visual Programming: Compositional visual reasoning without training — 2022 · arXiv:2211.11559
  70. mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  71. xGQA: Cross-Lingual Visual Question Answering — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  72. Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  73. COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  74. Caption Enriched Samples for Improving Hateful Memes Detection — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  75. Constrained Language Models Yield Few-Shot Semantic Parsers — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  76. Data Efficient Masked Language Modeling for Vision and Language — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  77. DeCEMBERT: Learning from Noisy Instructional Videos via Dense Captions and Entropy Minimization — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  78. Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies — 2021
  79. Edited Media Understanding Frames: Reasoning About the Intent and Implications of Visual Misinformation — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  80. Grounding `Grounding' in NLP — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
  81. Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  82. Investigating Negation in Pre-trained Vision-and-language Models — 2021 · Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
  83. Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  84. Multi-stage Pre-training over Simplified Multimodal Pre-training Models — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  85. Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTs — 2021 · Transactions of the Association for Computational Linguistics
  86. Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge — 2021 · Proceedings of the Third Workshop on Beyond Vision and LANguage: inTEgrating Real-world kNowledge (LANTERN)
  87. SPARTQA: A Textual Question Answering Benchmark for Spatial Reasoning — our card · 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  88. SimVLM: Simple Visual Language Model Pretraining with Weak Supervision — 2021 · arXiv:2108.10904
  89. TAPAS at SemEval-2021 Task 9: Reasoning over tables with intermediate pre-training — 2021 · Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)
  90. Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  91. ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision — 2021 · arXiv:2102.03334
  92. Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive Summarization — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  93. Volta at SemEval-2021 Task 9: Statement Verification and Evidence Finding with Tables using TAPAS and Transfer Learning — 2021 · Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)
  94. Achieving Common Ground in Multi-modal Dialogue — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts
  95. Be Different to Be Better! A Benchmark to Leverage the Complementarity of Language and Vision — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  96. Benchmarking Multimodal Regex Synthesis with Complex Structures — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  97. Break It Down: A Question Understanding Benchmark — 2020 · Transactions of the Association for Computational Linguistics
  98. CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  99. Cross-Modality Relevance for Reasoning on Language and Vision — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  100. Does my multimodal model learn cross-modal interactions? It's harder to tell than you might think! — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

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