PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models | Paper Citation Record

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This paper cites Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) , pages=.

PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) , pages=

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Aho and Jeffrey D

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Chandra and Dexter C

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Scalable training of

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Tetreault , title =

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This paper cites A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =.

PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Information Fusion , pages=

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models cortex , volume=

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models arXiv preprint arXiv:2412.14613 , year=

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Reference 13

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Proceedings of the 34th ACM International Conference on Information and Knowledge Management , pages=

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Sarcasm and the Space Structuring Model , year =

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Communications of the ACM , volume=

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Proceedings of the 24th ACM international conference on Multimedia , pages=

Reference 17

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Proceedings of the 57th annual meeting of the association for computational linguistics , pages=

Reference 18

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models 0: Towards a reliable multi-modal sarcasm detection system , author=

Reference 19

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This paper cites Proceedings of the 60th annual meeting of the association for computational linguistics (volume 1: Long papers) , pages=.

PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Proceedings of the 60th annual meeting of the association for computational linguistics (volume 1: Long papers) , pages=

Reference 20

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Proceedings of the 29th ACM international conference on multimedia , pages=

Reference 21

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models 2020 International Joint Conference on Neural Networks (IJCNN) , pages=

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Proceedings of the 20th international conference on multimodal interaction: adjunct , pages=

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models how long did you marinate in it? multimodal sarcasm explanation , author=

Reference 24

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Findings of the Association for Computational Linguistics: EMNLP 2020 , pages=

Reference 25

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Proceedings of the 32nd ACM International Conference on Multimedia , pages=

Reference 26

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models International conference on machine learning , pages=

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models IEEE Transactions on Affective Computing , volume=

Reference 29

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models A Survey of Multimodal Sarcasm Detection

Reference 30

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models GPT-4 Technical Report

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models International conference on machine learning , pages=

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models 2025 IEEE International Conference on Data Mining Workshops (ICDMW) , pages=

Reference 34

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 35

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 36

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Benchmarking Reasoning Robustness in Large Language Models

Reference 37

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=

Reference 38

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models ArXiv , year=

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models arXiv preprint arXiv:2509.22437 , year=

Reference 40

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Nature Machine Intelligence , volume=

Reference 41

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models On the Foundations of Shortcut Learning

Reference 42

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 43

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models arXiv preprint arXiv:2602.15183 , year=

Reference 44

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 45

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Proceedings of the 57th annual meeting of the association for computational linguistics , pages=

Reference 46

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Proceedings of the 31st International Conference on Computational Linguistics , pages=

Reference 47

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =

Reference 48

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models How Do Vision-Language Models Process Conflicting Information Across Modalities?

Reference 49

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 50

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 51

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Visual Instruction Tuning

Reference 52

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Observation 2f169d23-f4fd-431d-9bcb-1a53b5901c10 · outbound

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMs

Reference 53

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Observation 68cb8b13-b5d7-4781-af36-2f1c6ded3a33 · outbound

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Findings of the Association for Computational Linguistics: EMNLP 2022 , pages=

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:07:47.102587Z

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Observation eb126cd7-367d-47b7-94c2-2a9b6911f380 · outbound

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Advances in Neural Information Processing Systems , volume=

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:07:47.090527Z

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Observation 0ddb081c-1c30-4fe3-b60e-a1bb023f2054 · outbound

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models VLMs Need Words: Vision Language Models Ignore Visual Detail In Favor of Semantic Anchors

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T11:07:46.270807Z

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Observation 186c5fe3-d4cb-4934-ac02-2cb3bee9ec17 · outbound

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T11:07:46.275285Z

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Observation 1f386500-d441-44ed-8bdd-7540dd29f47f · outbound

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models IEEE MultiMedia , volume=

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:07:47.077373Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e951d434-a252-4419-bae2-fdbb55421b25 · outbound

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:07:47.064730Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 89c5e90c-73d5-4168-a2a4-b9d56919281c · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2025 , pages=.

PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Findings of the Association for Computational Linguistics: EMNLP 2025 , pages=

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:07:47.051511Z

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Observation a1748827-9094-415a-96cc-acb85dc28118 · outbound

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models IEEE Transactions on Affective Computing , year=

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:07:47.039517Z

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Observation 448a305d-6b19-4e1d-a92f-4591176137ca · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:07:47.027509Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 845161b3-a69d-49bf-bb58-dbe9e21f48a2 · outbound

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Proceedings of the 31st International Conference on Computational Linguistics , pages=

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:07:47.012185Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 80f7945e-6bc9-43cf-8fe3-41ee4cd323a0 · outbound

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-11T11:07:46.998562Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6c18eca8-10a5-46c2-8702-6ddc573228a7 · outbound

This paper cites 2025 , eprint=.

PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models 2025 , eprint=

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:07:46.985832Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7d9a1bac-b8bc-43aa-b105-b8f2bf9502c8 · outbound

This paper cites an unresolved cited work.

PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-11T11:07:46.973397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 46244535-da24-48a6-9c4a-bf8b0e7c7aa9 · outbound

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models IEEE Transactions on Affective Computing , year=

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:07:46.961522Z

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Observation f9e07637-caf0-4a18-b9d2-e016904c0f50 · outbound

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models 2023 , eprint=

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:07:46.949569Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8bb573e3-397c-4c8c-8eee-343952a5cac4 · outbound

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages=

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:07:46.936271Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 17e945b9-15dd-490a-af73-ffbdaabcee80 · outbound

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Advances in neural information processing systems , volume=

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T11:07:46.328539Z

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Teaching Structured Vision & Language Concepts to Vision & Language Models , year=

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:07:46.915767Z

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Observation 8b6f13b8-503e-4b35-b529-879ac52f8d50 · outbound

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models European Conference on Computer Vision , pages=

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:07:46.901676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ca7a3ee2-281a-4af5-b88e-b183e411b609 · outbound

This paper cites NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples.

PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-11T11:07:46.340382Z

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Unavailable: canonical work link unavailable.

Observation 42d9ae63-9a6b-4c05-9c80-f34bf86f4461 · outbound

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:07:46.885751Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a6054183-6819-43f2-aea2-2a2219c93ab5 · outbound

This paper cites 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages=.

PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages=

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:07:46.872066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4c68a8bc-4c6a-4701-86fd-6ac6b6f6bc6c · outbound

This paper cites 2025 , eprint=.

PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models 2025 , eprint=

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-11T11:07:46.352960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c466550c-41d0-4bf8-8402-6900a82e1624 · outbound

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models 2025 , eprint=

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-11T11:07:46.356611Z

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Unavailable: canonical work link unavailable.

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , year=

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:07:46.846228Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b6779d20-d32a-4d17-a919-654c1c47cb22 · outbound

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PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models Advances in Neural Information Processing Systems , volume=

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-11T11:07:46.365171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a9202b9-5bc8-4daa-a619-6c754b2a6ee1 · outbound

This paper cites 2025 , eprint=.

PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language Models 2025 , eprint=

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-11T11:07:46.368829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Reference resolution

Outbound references

Pith citing papers