The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs | Paper Citation Record

Observation 0d2b292f-28c7-42a6-ba88-e24352292f8d · outbound

This paper cites Aho and Jeffrey D.

The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Aho and Jeffrey D

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Observation e672d341-0f01-4c54-8e49-812ffa2afd10 · outbound

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Unresolved cited work

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Observation e9f6b81b-83c7-48ec-a48f-f4d78a3b0686 · outbound

This paper cites Chandra and Dexter C.

The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Chandra and Dexter C

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This paper cites Scalable training of.

The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Scalable training of

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Unresolved cited work

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Observation 253dbaf1-aab0-41c2-bbca-c47901265d73 · outbound

This paper cites Tetreault , title =.

The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Tetreault , title =

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Observation 635ba5f7-0dbf-4fa9-86ef-8e39f56b7161 · outbound

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

The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =

Reference 7

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Observation 0c1be4de-10a2-4a50-b440-578c6e027e19 · outbound

This paper cites Attention is All you Need , url =.

The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Attention is All you Need , url =

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Observation d3e7677c-eafb-4597-a8be-22ac892aefd0 · outbound

This paper cites 2019 , doi =.

The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs 2019 , doi =

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This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pages =.

The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pages =

Reference 10

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Teaching

Reference 11

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs 2023 , eprint=

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Computational Linguistics , volume =

Reference 13

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs 2019 , address =

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This paper cites Proceedings of the 2019 Conference of the North.

The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Proceedings of the 2019 Conference of the North

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Observation 8dddf0c7-dc1b-4352-8f1f-f1af6d649473 · outbound

This paper cites Locating and Editing Factual Associations in.

The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Locating and Editing Factual Associations in

Reference 16

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs 2017 , publisher =

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Proceedings of the 36th International Conference on Machine Learning , pages =

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This paper cites Advances in Neural Information Processing Systems , volume =.

The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Advances in Neural Information Processing Systems , volume =

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This paper cites Advances in Neural Information Processing Systems , volume =.

The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Advances in Neural Information Processing Systems , volume =

Reference 20

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Observation 75227c38-4cbb-4948-938d-a011940870f7 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Advances in Neural Information Processing Systems , volume =

Reference 21

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs 2025 , eprint=

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Observation fc40dffc-4cf8-4c3c-affc-07d5a4f81af6 · outbound

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Do Large Language Models Know What They Don

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs arXiv preprint , year=

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs arXiv preprint , year=

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This paper cites arXiv preprint , year=.

The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs arXiv preprint , year=

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs The Geometry of Numerical Reasoning: Language Models Compare Numeric Properties in Linear Subspaces

Reference 27

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Monotonic Representation of Numeric Attributes in Language Models

Reference 28

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs 2025 , eprint=

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs 2017 , eprint=

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs International Conference on Learning Representations (ICLR) Workshop , year =

Reference 31

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This paper cites Advances in Neural Information Processing Systems , volume =.

The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Advances in Neural Information Processing Systems , volume =

Reference 32

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Proceedings of the 40th International Conference on Machine Learning , series =

Reference 33

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This paper cites Advances in Neural Information Processing Systems , volume =.

The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Advances in Neural Information Processing Systems , volume =

Reference 34

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Evaluating Object Hallucination in Large Vision-Language Models: The

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Unresolved cited work

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Unresolved cited work

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Unresolved cited work

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Unresolved cited work

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Language Models (Mostly) Know What They Know

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Discovering Latent Knowledge in Language Models Without Supervision

Reference 41

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs International Conference on Learning Representations , year =

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Tree of Thoughts: Deliberate Problem Solving with Large Language Models

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Unresolved cited work

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 45

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs 2025 , eprint=

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This paper cites Advances in Neural Information Processing Systems , volume =.

The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Advances in Neural Information Processing Systems , volume =

Reference 47

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations , pages =

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , year =

Reference 49

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , year =

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs 2025 , eprint=

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs 2025 , eprint=

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs 2025 , eprint=

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs 2025 , eprint=

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs 2024 , eprint=

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs 2024 , eprint=

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs 2023 , eprint=

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs Golub , journal =

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs 2022 , eprint=

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs 2025 , eprint=

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs 2025 , eprint=

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs S tate A ct: Enhancing LLM Base Agents via Self-prompting and State-tracking

Reference 62

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The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs 2019 , eprint=

Reference 63

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