E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection | Paper Citation Record

Observation da7244d4-12df-4b65-a2cd-39a119e5967c · outbound

This paper cites Open- domain, content-based, multi-modal fact-checking of out- of-context images via online resources.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Open- domain, content-based, multi-modal fact-checking of out- of-context images via online resources

Reference 1

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Observation 12dbdc21-21df-4d41-8ec7-784761599e50 · outbound

This paper cites GPT-4 Technical Report.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection GPT-4 Technical Report

Reference 2

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Observation 076f4d84-b5f8-4884-93ed-1242b9255301 · outbound

This paper cites Cos- mos: Catching out-of-context image misuse using self- supervised learning.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Cos- mos: Catching out-of-context image misuse using self- supervised learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.740343Z

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Observation 6cf0192b-742b-4265-8638-ef87c982282e · outbound

This paper cites The making of an ai news anchor—and its implications.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection The making of an ai news anchor—and its implications

Reference 4

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Observation d9499662-5071-4ceb-a3dc-f09f5d0b6b45 · outbound

This paper cites Lion: Empowering multimodal large language model with dual-level visual knowledge.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Lion: Empowering multimodal large language model with dual-level visual knowledge

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.712122Z

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Observation 5e903869-4b9f-4aab-bb4a-aaaf9a0b3286 · outbound

This paper cites Gonzalez, Ion Stoica, and Eric P.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Gonzalez, Ion Stoica, and Eric P

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.698202Z

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Observation d3f0b995-89ca-4f4e-9b6f-b2cd93992ae4 · outbound

This paper cites Instructblip: Towards general- purpose vision-language models with instruction tuning.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Instructblip: Towards general- purpose vision-language models with instruction tuning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.684275Z

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Observation e5830e2e-561e-4717-9c82-a0cfac355bd2 · outbound

This paper cites Overview of the grand challenge on detect- ing cheapfakes at acm icmr 2024.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Overview of the grand challenge on detect- ing cheapfakes at acm icmr 2024

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.669895Z

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Observation addb8d05-0314-40ae-8404-a1248ae163bf · outbound

This paper cites Flashattention-2: Faster attention with better par- allelism and work partitioning.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Flashattention-2: Faster attention with better par- allelism and work partitioning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.655975Z

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Observation aacf91a0-8625-4576-b29b-9adea98369c2 · outbound

This paper cites Learning Domain-Invariant Features for Out-of-Context News Detection.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Learning Domain-Invariant Features for Out-of-Context News Detection

Reference 10

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Observation 195ca009-89b6-47b9-b0d1-c4f5d62d35b0 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Lora: Low-rank adaptation of large language models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.642053Z

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Observation dedef171-81ef-4575-9580-0b905633875d · outbound

This paper cites GPT-4o System Card.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection GPT-4o System Card

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T10:26:06.883547Z

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Observation 3351443d-8d87-4db0-8fab-4a142f605977 · outbound

This paper cites Hallucination augmented contrastive learn- ing for multimodal large language model.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Hallucination augmented contrastive learn- ing for multimodal large language model

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.628103Z

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Observation c6eabe9b-19c0-4e6f-837b-987f44a327d9 · outbound

This paper cites Llava-vsd: Large language-and-vision as- sistant for visual spatial description.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Llava-vsd: Large language-and-vision as- sistant for visual spatial description

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.613928Z

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Observation c74c63a6-3803-41f8-8c27-acc029415027 · outbound

This paper cites Geochat: Grounded large vision-language model for remote sensing.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Geochat: Grounded large vision-language model for remote sensing

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.599743Z

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Observation 50fb0ef5-844d-4144-9715-6519543053f5 · outbound

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

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.585607Z

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Observation 602fbcfa-73a7-4b35-aa63-dcf350a30e69 · outbound

This paper cites VisualBERT: A Simple and Performant Baseline for Vision and Language.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection VisualBERT: A Simple and Performant Baseline for Vision and Language

Reference 17

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Observation 087827b0-039e-419f-9c50-78a2dac444ba · outbound

This paper cites Detecting Multimedia Generated by Large AI Models: A Survey.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Detecting Multimedia Generated by Large AI Models: A Survey

Reference 18

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Observation fd160b05-45e3-4d22-94fc-d8ab4c24f6c8 · outbound

This paper cites Forgery-aware adaptive transformer for generalizable synthetic image detection.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Forgery-aware adaptive transformer for generalizable synthetic image detection

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.570719Z

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Observation f585c5cc-a1df-4183-ad1a-0e81ffb73163 · outbound

This paper cites Fka-owl: Advancing multimodal fake news detection through knowledge-augmented lvlms.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Fka-owl: Advancing multimodal fake news detection through knowledge-augmented lvlms

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.556515Z

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Observation 56a76775-cbc6-4a92-8d8b-877449e3d486 · outbound

This paper cites Decoupled Weight Decay Regularization.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Decoupled Weight Decay Regularization

Reference 21

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Observation 94afc5ac-3f8c-4817-946a-52e6b92d309e · outbound

This paper cites Newsclip- pings: Automatic generation of out-of-context multimodal media.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Newsclip- pings: Automatic generation of out-of-context multimodal media

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.542508Z

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This paper cites Safe: Self- attentive function embeddings for binary similarity.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Safe: Self- attentive function embeddings for binary similarity

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.527957Z

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Observation f7f7073b-0b0e-4a55-bd87-3212ec1844b5 · outbound

This paper cites Self-supervised distilled learning for multi-modal mis- information identification.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Self-supervised distilled learning for multi-modal mis- information identification

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.513957Z

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Observation 7d36eec4-14c7-4bfc-810a-6d0b32bde645 · outbound

This paper cites The covid-19 ‘info- demic’: A new front for information professionals.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection The covid-19 ‘info- demic’: A new front for information professionals

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.499754Z

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Observation cd0ab88d-6208-466a-8a41-8fd1c6d6b15b · outbound

This paper cites Training lan- guage models to follow instructions with human feedback.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Training lan- guage models to follow instructions with human feedback

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.485579Z

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Observation e1311823-b2eb-4590-9452-ee24f93afdcc · outbound

This paper cites Synthetic mis- informers: Generating and combating multimodal misinfor- mation.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Synthetic mis- informers: Generating and combating multimodal misinfor- mation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.471198Z

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Observation 9674be51-8cb6-4987-bfec-f8ed46716e23 · outbound

This paper cites RED-DOT: Multimodal Fact-checking via Relevant Evidence Detection.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection RED-DOT: Multimodal Fact-checking via Relevant Evidence Detection

Reference 28

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Observation cc2a5a89-bbbb-4557-aac0-13b156eddfda · outbound

This paper cites Verite: A robust benchmark for multimodal misinformation detection accounting for unimodal bias.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Verite: A robust benchmark for multimodal misinformation detection accounting for unimodal bias

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.456485Z

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Observation 274f3d7d-d63d-4ebc-95ca-d4b3277935f2 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Pytorch: An imperative style, high-performance deep learning library

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.440769Z

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Observation 12024270-4c5c-4f3b-970a-bd288e81a68e · outbound

This paper cites Sniffer: Multimodal large language model for explainable out-of-context misinformation detection.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Sniffer: Multimodal large language model for explainable out-of-context misinformation detection

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.425915Z

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Observation c18039b1-263e-4165-b122-6f819e0e0a03 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Learn- ing transferable visual models from natural language super- vision

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.411010Z

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Observation 6e120eb2-d660-435f-b559-74f30e9fedca · outbound

This paper cites Detecting and grounding multi-modal media manip- ulation and beyond.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Detecting and grounding multi-modal media manip- ulation and beyond

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.395788Z

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Observation 47747608-d2f3-4f64-a43b-e6fdbc90cba7 · outbound

This paper cites Prompt- ing large language models with answer heuristics for knowledge-based visual question answering.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Prompt- ing large language models with answer heuristics for knowledge-based visual question answering

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.381329Z

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Observation 0b71bf1d-d63c-4da1-a68e-422a5cfe77c4 · outbound

This paper cites Multimodal misinformation detection using large vision- language models.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Multimodal misinformation detection using large vision- language models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.366648Z

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Observation 97bda4d0-259b-47cb-8fbd-6716c8186c62 · outbound

This paper cites Deepface: Closing the gap to human-level perfor- mance in face verification.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Deepface: Closing the gap to human-level perfor- mance in face verification

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.351982Z

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Observation bda2875c-5d51-4610-ade8-7bdcb4136036 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Gemini: A Family of Highly Capable Multimodal Models

Reference 37

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Observation 34758a58-a33d-4827-a770-a8ff29439a56 · outbound

This paper cites MMIDR: Teaching Large Language Model to Interpret Multimodal Misinformation via Knowledge Distillation.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection MMIDR: Teaching Large Language Model to Interpret Multimodal Misinformation via Knowledge Distillation

Reference 38

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Observation 7bc064fb-7fee-4345-912b-fc121e24cd36 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-08T10:26:07.007446Z

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Observation 1fa5e05f-327f-4cdc-8acf-f3e264ea24df · outbound

This paper cites Eann: Event ad- versarial neural networks for multi-modal fake news detec- tion.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Eann: Event ad- versarial neural networks for multi-modal fake news detec- tion

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.336434Z

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Observation c707cd85-7067-4c60-84d1-3410ad79982a · outbound

This paper cites Cotkr: Chain-of-thought en- hanced knowledge rewriting for complex knowledge graph question answering.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Cotkr: Chain-of-thought en- hanced knowledge rewriting for complex knowledge graph question answering

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.320163Z

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Observation 792f0807-69fa-4000-9d5c-5cb7bf0c36e5 · outbound

This paper cites Gpt4tools: Teaching large language model to use tools via self-instruction.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Gpt4tools: Teaching large language model to use tools via self-instruction

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.305004Z

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Observation 37208d4e-2ab3-4c3f-a367-2e30fa40b07a · outbound

This paper cites A Survey on Multimodal Large Language Models.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection A Survey on Multimodal Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-08T10:26:07.025551Z

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Observation ebc824b6-1469-43bb-b151-aa9020aeed03 · outbound

This paper cites Support or refute: Analyzing the stance of evidence to detect out-of-context mis-and disinformation.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Support or refute: Analyzing the stance of evidence to detect out-of-context mis-and disinformation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.289568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 01ff7614-9724-40cc-8a05-92f3f4a24071 · outbound

This paper cites Ecenet: Explainable and context- enhanced network for muti-modal fact verification.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Ecenet: Explainable and context- enhanced network for muti-modal fact verification

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.274403Z

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Observation f16a6a31-e3db-476f-a4f5-7fd877591e08 · outbound

This paper cites Aligning instruction tasks unlocks large language models as zero-shot relation extractors.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Aligning instruction tasks unlocks large language models as zero-shot relation extractors

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T10:26:07.258453Z

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Observation d5c53b28-d1fa-436c-92ec-d200279a87b0 · outbound

This paper cites Interpretable Detection of Out-of-Context Misinformation with Neural-Symbolic-Enhanced Large Multimodal Model.

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection Interpretable Detection of Out-of-Context Misinformation with Neural-Symbolic-Enhanced Large Multimodal Model

Reference 47

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