Paper Citation Record · LEDGER

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding

As of 14 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 4 inbound Pith citation observations for arXiv:2502.01056.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.01056 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:50:15.232756Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T00:32:49.666202Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T00:35:10.140293Z

Reference resolution

49 of 49 outbound references displayed

verified exact2
verified fuzzy18
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 42781bfb-29b6-459d-9c07-cef97fc9ffb5 · outbound

This paper cites write newline.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding write newline

Reference 1

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Source-reported events for the cited work

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Observation 14194176-1e37-42be-b061-6cebef72a78c · outbound

This paper cites GPT-4 Technical Report.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding GPT-4 Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T16:50:15.093483Z

Source-reported events for the cited work

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Observation 31ee6b78-5bf8-4c6a-af2d-5a85af01fca0 · outbound

This paper cites Self-rag: Self-reflective retrieval augmented generation.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding Self-rag: Self-reflective retrieval augmented generation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:50:15.691252Z

Source-reported events for the cited work

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Observation e9ba749c-bd2e-4326-9567-6c1a68ca8e0f · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 4

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Source-reported events for the cited work

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Observation 100da0c5-6852-4cae-bf47-81d0218cce9b · outbound

This paper cites F., G \'o mez, L., and Karatzas, D.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding F., G \'o mez, L., and Karatzas, D

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:50:15.683460Z

Source-reported events for the cited work

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Observation 55e95045-643c-4a77-9db2-8d9d92c42616 · outbound

This paper cites In-context sharpness as alerts: An inner representation perspective for hallucination mitigation.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding In-context sharpness as alerts: An inner representation perspective for hallucination mitigation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:50:15.675917Z

Source-reported events for the cited work

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Observation cc6cd000-f8d2-49bc-b1ee-4c10b078d145 · outbound

This paper cites In-context sharpness as alerts: An inner representation perspective for hallucination mitigation.

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:50:15.667710Z

Source-reported events for the cited work

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Observation 7579b3c8-d13b-42cb-9f58-f41c5eec65f7 · outbound

This paper cites Halc: Object hallucination reduction via adaptive focal-contrast decoding.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding Halc: Object hallucination reduction via adaptive focal-contrast decoding

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:50:15.659152Z

Source-reported events for the cited work

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Observation 35d4fbbc-ac4a-42c4-bb7d-01c76904979f · outbound

This paper cites E., et al.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding E., et al

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T16:50:15.115868Z

Source-reported events for the cited work

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Observation 9b1d5a21-5df9-4456-8f4c-559d0662dcf7 · outbound

This paper cites Chain-of-verification reduces hallucination in large language models.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding Chain-of-verification reduces hallucination in large language models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T16:50:15.118585Z

Source-reported events for the cited work

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Observation 0d2b5eed-37ff-4cb3-9568-0301ac622ee8 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding An image is worth 16x16 words: Transformers for image recognition at scale

Reference 11

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Source-reported events for the cited work

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Observation 2c1938d6-2de2-45ec-8b39-3a10e69d616c · outbound

This paper cites an unresolved cited work.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding Unresolved cited work

Reference 12

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Source-reported events for the cited work

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Observation da2857a1-21b6-4116-aa45-fbf3c6238fb8 · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T16:50:15.126150Z

Source-reported events for the cited work

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Observation a856a4f8-0921-48fe-baa7-c8e0a00b71c0 · outbound

This paper cites A., and Gal, Y.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding A., and Gal, Y

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:50:15.631401Z

Source-reported events for the cited work

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Observation f77f3bf4-f1a4-4aad-80dd-1aea5e335433 · outbound

This paper cites Knowledge-centric hallucination detection.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding Knowledge-centric hallucination detection

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T16:50:15.131314Z

Source-reported events for the cited work

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Observation f1ba08b0-0032-4942-a8a9-6751b4b74687 · outbound

This paper cites J., Madotto, A., and Fung, P.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding J., Madotto, A., and Fung, P

Reference 16

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Source-reported events for the cited work

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Observation 1ef5f3d7-3a45-40ba-82fb-0feb97a4127c · outbound

This paper cites Mitigating object hallucinations in large vision-language models through visual contrastive decoding.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding Mitigating object hallucinations in large vision-language models through visual contrastive decoding

Reference 17

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Source-reported events for the cited work

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Observation 9e86b6e7-f207-49aa-a554-bbcbed211fc0 · outbound

This paper cites an unresolved cited work.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding Unresolved cited work

Reference 18

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Source-reported events for the cited work

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Observation 6cfe7678-13cb-4b1f-81a8-1dc2ba4b6012 · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T16:50:15.142173Z

Source-reported events for the cited work

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Observation 1370e302-a6ae-4d3a-b30c-c2be5cf38bf1 · outbound

This paper cites L., Holtzman, A., Fried, D., Liang, P., Eisner, J., Hashimoto, T., Zettlemoyer, L., and Lewis, M.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding L., Holtzman, A., Fried, D., Liang, P., Eisner, J., Hashimoto, T., Zettlemoyer, L., and Lewis, M

Reference 20

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Observation 42bc14e7-837f-4981-ae2f-e558e01c5b3f · outbound

This paper cites Evaluating object hallucination in large vision-language models.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding Evaluating object hallucination in large vision-language models

Reference 21

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Observation f2f7b31a-4d18-4e90-8290-223efc4d18af · outbound

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Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding Unresolved cited work

Reference 22

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Source-reported events for the cited work

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Observation 7cd04f2b-55d4-4251-bfa3-1e94c0b481b1 · outbound

This paper cites an unresolved cited work.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding Unresolved cited work

Reference 23

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Observation 19af4125-9693-4553-b5b5-2508646fe04b · outbound

This paper cites Factual confidence of LLM s: on reliability and robustness of current estimators.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding Factual confidence of LLM s: on reliability and robustness of current estimators

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T16:50:15.154648Z

Source-reported events for the cited work

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Observation eb33f9ca-18c4-4380-8200-1faa2d337257 · outbound

This paper cites Mitigating hallucinations in lvlms via summary-guided decoding.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding Mitigating hallucinations in lvlms via summary-guided decoding

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:50:15.602364Z

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Observation 6b9e07a4-5729-4dd3-88cb-a8da85573df1 · outbound

This paper cites K., and Sankarasubbu, M.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding K., and Sankarasubbu, M

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T16:50:15.160831Z

Source-reported events for the cited work

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Observation ca90f6d2-b82e-4565-b313-b48fc7a44d61 · outbound

This paper cites Towards unified multimodal editing with enhanced knowledge collaboration.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding Towards unified multimodal editing with enhanced knowledge collaboration

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:50:15.593851Z

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Observation 63239e60-631d-4c42-8226-3cc63121f47f · outbound

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Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding B leu: a method for automatic evaluation of machine translation

Reference 28

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Observation 280fb77b-1fc9-40c1-bd8f-972a00387d04 · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al

Reference 29

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Source-reported events for the cited work

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Observation b40b92a4-a531-4f31-8158-c6f3f7042106 · outbound

This paper cites D., Ermon, S., and Finn, C.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding D., Ermon, S., and Finn, C

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T16:50:15.174414Z

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This paper cites A., Burns, K., Darrell, T., and Saenko, K.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding A., Burns, K., Darrell, T., and Saenko, K

Reference 31

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Observation 92aec232-827a-4f93-b172-6f0a6b53b4bf · outbound

This paper cites A comprehensive survey of hallucination in large language, image, video and audio foundation models.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding A comprehensive survey of hallucination in large language, image, video and audio foundation models

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:50:15.577289Z

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Observation d64597da-2ecc-4f2c-927e-b0d78dc229cd · outbound

This paper cites Gpt-4 is here: what scientists think.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding Gpt-4 is here: what scientists think

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:50:15.569752Z

Source-reported events for the cited work

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Observation 2bf73d00-c35f-430a-9acd-07c831357e95 · outbound

This paper cites Multilingual fact-checking using llms.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding Multilingual fact-checking using llms

Reference 34

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Source-reported events for the cited work

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Observation 829fb95d-4d74-43fc-afd0-2ff670d26647 · outbound

This paper cites and Huang, S.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding and Huang, S

Reference 35

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Source-reported events for the cited work

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Observation b2f27379-716a-4c59-b835-c0102cceb5fb · outbound

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Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding Unresolved cited work

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Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding Mitigating hallucinations in large vision-language models with instruction contrastive decoding

Reference 37

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Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding W., Lester, B., Du, N., Dai, A

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:50:15.539429Z

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Observation af55f200-63d7-4ff4-b1ca-f37f6356f377 · outbound

This paper cites On the road with gpt-4v (ision): Explorations of utilizing visual-language model as autonomous driving agent.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding On the road with gpt-4v (ision): Explorations of utilizing visual-language model as autonomous driving agent

Reference 39

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Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding Transformers: State-of-the-art natural language processing

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:50:15.522595Z

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Observation df2c4c8e-199f-41f9-a50e-ebba216e2472 · outbound

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Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action

Reference 41

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Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:50:15.514173Z

Source-reported events for the cited work

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Observation addb0823-f289-4e5d-94e5-e6afa40c5578 · outbound

This paper cites mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:50:15.504852Z

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Observation 9f1b50f9-3501-4fa3-b3df-7a660e9a1357 · outbound

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Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-09T16:50:15.217582Z

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Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Reference 45

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Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding Mitigating object hallucination in large vision-language models via image-grounded guidance

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:50:15.495814Z

Source-reported events for the cited work

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Observation 7296b114-2e35-4b67-8708-4c57e1429baf · outbound

This paper cites A Survey of Large Language Models.

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding A Survey of Large Language Models

Reference 47

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Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding Analyzing and mitigating object hallucination in large vision-language models

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:50:15.487395Z

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Observation f81e2ef7-4b8f-4592-9067-8d3459ce9a60 · outbound

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Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding Mini GPT -4: Enhancing vision-language understanding with advanced large language models

Reference 49

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Pith citing papers

Observation 8f64d723-9301-43ec-a40b-493d78edb947 · inbound

HTDC: Hesitation-Triggered Differential Calibration for Mitigating Hallucination in Large Vision-Language Models cites this paper.

HTDC: Hesitation-Triggered Differential Calibration for Mitigating Hallucination in Large Vision-Language Models Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding

Reference 35

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Observation 976f8086-1d7f-4fcc-aabf-da73def19b68 · inbound

GEASS: Gated Evidence-Adaptive Selective Caption Trust for Vision-Language Models cites this paper.

GEASS: Gated Evidence-Adaptive Selective Caption Trust for Vision-Language Models Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:11:15.203519Z

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 421cb0c2-caf8-43a0-970f-6bd7432207c8 · inbound

GEASS: Gated Evidence-Adaptive Selective Caption Trust for Vision-Language Models cites this paper.

GEASS: Gated Evidence-Adaptive Selective Caption Trust for Vision-Language Models Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-21T00:43:53.563211Z

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 502bbc9a-4925-4eda-98f7-772f86f106f2 · inbound

GEASS: Gated Evidence-Adaptive Selective Caption Trust for Vision-Language Models cites this paper.

GEASS: Gated Evidence-Adaptive Selective Caption Trust for Vision-Language Models Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:35:10.141999Z

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.