OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination | Paper Citation Record

Observation add3d31e-a5b3-43d4-8c2f-bcf721a06428 · outbound

This paper cites Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing, May 2020.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing, May 2020

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:16.738808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49acd64d-8360-4ca6-944a-11c16913ca96 · outbound

This paper cites Agla: Mitigating object hallucinations in large vision-language models with assembly of global and local attention.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Agla: Mitigating object hallucinations in large vision-language models with assembly of global and local attention

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:16.804515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73de9976-6607-4793-80b4-00a4ff538805 · outbound

This paper cites Qwen2.5-vl technical report, 2025.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Qwen2.5-vl technical report, 2025

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:16.868449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e13c9864-4b5b-4754-be4a-03807f196f17 · outbound

This paper cites Hallucination of multimodal large language models: A survey, 2025.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Hallucination of multimodal large language models: A survey, 2025

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:16.924611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 622494cc-6bda-4ed2-9862-7cd8e52d8e1a · outbound

This paper cites Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:16.967973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57acff2e-cafa-40bb-b00b-fdcd9d93d789 · outbound

This paper cites Alleviating hallucinations in large vision-language models through hallucination-induced optimization, 2024.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Alleviating hallucinations in large vision-language models through hallucination-induced optimization, 2024

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:17.033170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ce53a6c-4f64-4f68-8c16-6f07fa77e998 · outbound

This paper cites PerturboLLaV A: Reducing Multimodal Hallucinations with Perturbative Visual Training, March 2025.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination PerturboLLaV A: Reducing Multimodal Hallucinations with Perturbative Visual Training, March 2025

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:17.108236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e0fba51-51be-4607-aa43-2237086c204c · outbound

This paper cites Ict: Image-object cross-level trusted intervention for mitigating object hallucination in large vision-language models, 2024.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Ict: Image-object cross-level trusted intervention for mitigating object hallucination in large vision-language models, 2024

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:17.160540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc24962d-acb8-44a6-8fd1-cc05586c15d5 · outbound

This paper cites Kwok, Hengshuang Zhao, Xiaodan Liang, Dit-Yan Yeung, Xiao Chen, Zhenguo Li, Wei Zhang, Qun Liu, Jun Yao, Lanqing Hong, Lu Hou, and Hang Xu.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Kwok, Hengshuang Zhao, Xiaodan Liang, Dit-Yan Yeung, Xiao Chen, Zhenguo Li, Wei Zhang, Qun Liu, Jun Yao, Lanqing Hong, Lu Hou, and Hang Xu

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:17.208816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 568168b6-a6e1-4eef-ae54-6291774a613a · outbound

This paper cites V AST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset, October 2023.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination V AST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset, October 2023

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:17.250648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e28df94e-02c3-48a3-be68-857c3fe70179 · outbound

This paper cites HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:17.296225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cb33e47-3c3a-435a-a379-1dac933362e5 · outbound

This paper cites Videollama 2: Advancing spatial-temporal modeling and audio understanding in video-llms, 2024.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Videollama 2: Advancing spatial-temporal modeling and audio understanding in video-llms, 2024

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:17.377594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb4b2ee5-a6f5-48ec-bebf-512d2b571685 · outbound

This paper cites FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:17.436967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3480a237-73b6-4cbb-bd40-b47a0c03bed1 · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:17.503229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ba61098-db04-4944-9e4a-bc8435f13292 · outbound

This paper cites Qwen2-audio technical report, 2024.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Qwen2-audio technical report, 2024

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:17.562872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66a0e1b4-4041-428c-b502-27b690b80963 · outbound

This paper cites Dola: Decoding by contrasting layers improves factuality in large language models, March.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Dola: Decoding by contrasting layers improves factuality in large language models, March

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:17.614193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49b6f830-52af-46fb-9a9a-de026f67e616 · outbound

This paper cites Detecting hallucinations in large language models using semantic entropy.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Detecting hallucinations in large language models using semantic entropy

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:17.729231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cd04060-3c5e-4b21-8a05-a2ac7afb1a1e · outbound

This paper cites Multi-modal hallucination control by visual information grounding, 2024.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Multi-modal hallucination control by visual information grounding, 2024

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:17.767177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7ab0206-feff-42d8-a171-1e6b5f97b78e · outbound

This paper cites Vita: Towards open-source interactive omni multimodal llm, 2024.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Vita: Towards open-source interactive omni multimodal llm, 2024

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:17.815567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 254cea3f-24bf-48bc-9b86-6285d0fd646c · outbound

This paper cites Exploring hallucination of large multimodal models in video understanding: Benchmark, analysis and mitigation, 2025.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Exploring hallucination of large multimodal models in video understanding: Benchmark, analysis and mitigation, 2025

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:17.896249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34bfdda0-90cc-4939-ac49-9afa88adb90c · outbound

This paper cites Imagebind: One embedding space to bind them all, 2023.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Imagebind: One embedding space to bind them all, 2023

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:17.932075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dff4b0de-a4dd-41b0-a9e8-49d8a417a8b8 · outbound

This paper cites Textbooks are all you need, 2023.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Textbooks are all you need, 2023

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:17.990202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0762060-a928-4ea7-a070-39de97b0ada3 · outbound

This paper cites Detecting and preventing hallucinations in large vision language models.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Detecting and preventing hallucinations in large vision language models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:18.052867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c861945d-8146-4550-b982-671fed2357ff · outbound

This paper cites Aligned better, listen better for audio-visual large language models, 2025.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Aligned better, listen better for audio-visual large language models, 2025

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:18.102542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec063304-06ba-4fb2-92fd-86bb713d6d25 · outbound

This paper cites Onellm: One framework to align all modalities with language, 2025.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Onellm: One framework to align all modalities with language, 2025

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:18.164921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b35a17f5-37c6-4ab2-8059-a0cc41e415c2 · outbound

This paper cites Opera: Alleviating hallucination in multi-modal large language models via over-trust penalty and retrospection-allocation.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Opera: Alleviating hallucination in multi-modal large language models via over-trust penalty and retrospection-allocation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:18.180980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5da83688-17c1-450b-afa3-d61b3615e883 · outbound

This paper cites Visual hallucinations of multi-modal large language models, 2024.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Visual hallucinations of multi-modal large language models, 2024

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:18.256302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d326a693-facb-4e87-beb4-e955ef592114 · outbound

This paper cites Self-introspective decoding: Alleviating hallucinations for large vision-language models, 2024.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Self-introspective decoding: Alleviating hallucinations for large vision-language models, 2024

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:18.405836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10f2cc0e-3e86-4441-b242-4b4fbeb067f6 · outbound

This paper cites Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models, March 2025.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models, March 2025

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:18.525141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c1262c7-7378-456e-9329-baad0e16c546 · outbound

This paper cites Interpreting and editing vision-language representations to mitigate hallucinations, 2025.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Interpreting and editing vision-language representations to mitigate hallucinations, 2025

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:18.609150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3270980-d229-487d-ac4d-ae08bf075d17 · outbound

This paper cites Code: Contrasting self-generated description to combat hallucination in large multi-modal models, 2024.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Code: Contrasting self-generated description to combat hallucination in large multi-modal models, 2024

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:22.821333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ae90a9e3-7d66-44d2-a062-cbb5f7ecba9b · outbound

This paper cites Ross, Bryan Seybold, and Lu Jiang.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Ross, Bryan Seybold, and Lu Jiang

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:22.811696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8e54e96a-6b00-4b39-b3b6-f2d35035d6cc · outbound

This paper cites Semantic uncertainty: Linguistic invariances for uncertainty estimation in natural language generation.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Semantic uncertainty: Linguistic invariances for uncertainty estimation in natural language generation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:22.800609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3b48526d-9f14-44c8-a57c-2dc57b7492f2 · outbound

This paper cites The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:19.020115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98bc29ac-69d0-4005-98ab-24b9ccf9fccf · outbound

This paper cites Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding, November 2023.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding, November 2023

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:22.790807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fa3fba67-a9d1-47f2-acef-5848e9308345 · outbound

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

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Mitigating object hallucinations in large vision-language models through visual contrastive decoding

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:22.778607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation aac56885-0576-4840-a363-85be7cc0c3c1 · outbound

This paper cites Mitigating Hallucination for Large Vision Language Model by Inter-Modality Correlation Calibration Decoding, March 2025.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Mitigating Hallucination for Large Vision Language Model by Inter-Modality Correlation Calibration Decoding, March 2025

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:22.767858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4de60ee2-ce71-44da-b578-550e04c6d076 · outbound

This paper cites Baichuan-omni-1.5 technical report, 2025.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Baichuan-omni-1.5 technical report, 2025

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:22.756976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7edb7bdf-4829-477d-a35f-dca5801faff5 · outbound

This paper cites an unresolved cited work.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:22:22.745828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a81f2032-cca2-423b-9b20-d4a363f799be · outbound

This paper cites Mind the gap: Understanding the modality gap in multi-modal contrastive representation learning, 2022.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Mind the gap: Understanding the modality gap in multi-modal contrastive representation learning, 2022

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:22.736147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation edc42d21-61cb-4009-ba09-d4c0bbf227b6 · outbound

This paper cites Langbridge: Interpreting image as a combination of language embeddings.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Langbridge: Interpreting image as a combination of language embeddings

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:19.751439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44030171-d88d-4d98-b9ee-50b790b3c2b7 · outbound

This paper cites UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:19.862751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e220ca5-104d-4368-a2f3-261e82f5e518 · outbound

This paper cites Mitigating hallucination in large multi-modal models via robust instruction tuning.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Mitigating hallucination in large multi-modal models via robust instruction tuning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:22.726303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4ac80b02-acd2-49ea-bab7-a312217b9ddf · outbound

This paper cites A Survey on Hallucination in Large Vision-Language Models, May 2024.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination A Survey on Hallucination in Large Vision-Language Models, May 2024

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:22.715812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e7da907a-ef82-4492-885a-24237cb1fc59 · outbound

This paper cites Improved baselines with visual instruction tuning, 2023.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Improved baselines with visual instruction tuning, 2023

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:20.206944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d039f6a-792e-4d6c-94f7-8f5e88104a8f · outbound

This paper cites Visual instruction tuning.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Visual instruction tuning

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:22.698953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 632c631f-ce09-418e-bf6b-8577baaeab48 · outbound

This paper cites Reducing hallucinations in vision-language models via latent space steering, 2024.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Reducing hallucinations in vision-language models via latent space steering, 2024

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:22.688273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6d5e1a93-373b-4425-ae35-ad25caf2a715 · outbound

This paper cites Paying more attention to image: A training-free method for alleviating hallucination in lvlms, 2024.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Paying more attention to image: A training-free method for alleviating hallucination in lvlms, 2024

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:22.122416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 94dcbf71-fda7-4afa-8df3-7cd89250aa55 · outbound

This paper cites Ola: Pushing the Frontiers of Omni-Modal Language Model with Progressive Modality Alignment, February 2025.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Ola: Pushing the Frontiers of Omni-Modal Language Model with Progressive Modality Alignment, February 2025

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:22.112260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation af66ca52-98e2-4333-8e1f-2c296868c535 · outbound

This paper cites Kernel language entropy: Fine-grained uncertainty quantification for llms from semantic similarities.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Kernel language entropy: Fine-grained uncertainty quantification for llms from semantic similarities

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:22.101576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 01403b75-034c-45ca-8509-d30319e86d45 · outbound

This paper cites On the audio hallucinations in large audio-video language models, 2024.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination On the audio hallucinations in large audio-video language models, 2024

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:22.091108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b3c1a9eb-7cfc-42b5-ac55-5849a38a669f · outbound

This paper cites an unresolved cited work.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:22:22.080529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 263e2fde-3890-4ddb-b7b6-14f312089499 · outbound

This paper cites Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:22:21.466946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 60dd7802-a4ec-4855-8905-840a63a92ed7 · outbound

This paper cites an unresolved cited work.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:22:22.070500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7c7126ee-40e8-4742-b09b-16a87c5c8372 · outbound

This paper cites Distillation contrastive decoding: Improving llms reasoning with contrastive decoding and distillation, 2024.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Distillation contrastive decoding: Improving llms reasoning with contrastive decoding and distillation, 2024

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:22.061143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d390e224-3585-4f2f-bb6f-2008a77ef7db · outbound

This paper cites Look, compare, decide: Alleviating hallucination in large vision-language models via multi-view multi-path reasoning, August.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Look, compare, decide: Alleviating hallucination in large vision-language models via multi-view multi-path reasoning, August

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:22.051454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1eeb7802-971d-448f-897d-a3159e84c25e · outbound

This paper cites Manning, and Chelsea Finn.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Manning, and Chelsea Finn

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:22.041470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 51f23175-27c7-4ce6-b14a-a1448d6d822a · outbound

This paper cites Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:21.072884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d4f416e-f68a-4703-84a9-d428751fae0d · outbound

This paper cites VACoDe: Visual Augmented Contrastive Decoding.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination VACoDe: Visual Augmented Contrastive Decoding

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:21.083316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b410565-98ed-4ae8-8af3-d08ee19f41c6 · outbound

This paper cites The curious case of halluci- nations in neural machine translation.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination The curious case of halluci- nations in neural machine translation

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:22.030544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2527024a-62d7-49ac-ac75-4fa6ce23593e · outbound

This paper cites Mmau: A massive multi-task audio understanding and reasoning benchmark, 2024.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Mmau: A massive multi-task audio understanding and reasoning benchmark, 2024

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:22.009370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 35de8b2e-9121-49fc-9ff7-4fa782e3bac6 · outbound

This paper cites A comprehensive survey of hallucination in large language, image, video and audio foundation models, 2024.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination A comprehensive survey of hallucination in large language, image, video and audio foundation models, 2024

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:22.019900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 99f4dd3c-31fa-475d-8b53-de133367b3a3 · outbound

This paper cites Identifying untrustworthy samples: Data filtering for open-domain dialogues with bayesian optimization.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Identifying untrustworthy samples: Data filtering for open-domain dialogues with bayesian optimization

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:21.988685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1741fbd1-ec1c-4430-b1e9-0cf2c11248b8 · outbound

This paper cites Arık, and Tomas Pfister.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Arık, and Tomas Pfister

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:21.998259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ea95877b-b952-4574-a4af-84612e1d9d0f · outbound

This paper cites Aligning large multimodal models with factually augmented rlhf, 2023.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Aligning large multimodal models with factually augmented rlhf, 2023

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:21.971587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6468452e-329a-4191-8d57-9a521368c28c · outbound

This paper cites Pandagpt: One model to instruction-follow them all, 2023.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Pandagpt: One model to instruction-follow them all, 2023

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:21.101536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 395863cb-ba06-4300-97b4-ca4fab179ec4 · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:21.112356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4c02596-8450-47fc-a0ca-e5040fddd048 · outbound

This paper cites Avhbench: A cross-modal hallucination benchmark for audio-visual large language models, 2025.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Avhbench: A cross-modal hallucination benchmark for audio-visual large language models, 2025

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:21.961744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3e98c522-4147-40c3-807d-4ade7f7f878b · outbound

This paper cites Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:21.118908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d364d6f2-c906-4253-924f-60068f5c57c5 · outbound

This paper cites Llama: Open and efficient foundation language models.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Llama: Open and efficient foundation language models

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:21.951713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bd42d01e-4885-4fc3-ada0-8d35c5c329cf · outbound

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

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:21.125438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d17017d7-10e5-48e5-9b00-13ea3c2234e3 · outbound

This paper cites Huang, Nan Xu, Sheng Zhang, Hoifung Poon, and Muhao Chen.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Huang, Nan Xu, Sheng Zhang, Hoifung Poon, and Muhao Chen

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:21.942197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dd6529ee-0f3e-4e49-aa68-bfb7045a37a3 · outbound

This paper cites Freebind: Free lunch in unified multimodal space via knowledge fusion, 2024.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Freebind: Free lunch in unified multimodal space via knowledge fusion, 2024

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:21.922440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 742640f0-8851-441d-a628-1866293f6a88 · outbound

This paper cites Mitigating hallucinations in large vision-language models with instruction contrastive decoding, 2024.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Mitigating hallucinations in large vision-language models with instruction contrastive decoding, 2024

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:21.932491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dbf83a29-b4e5-48c7-b2d6-006554721670 · outbound

This paper cites Don’t miss the forest for the trees: Attentional vision calibration for large vision language models, 2024.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Don’t miss the forest for the trees: Attentional vision calibration for large vision language models, 2024

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:21.899083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a7045ec7-7f77-4daa-9707-e707681beda7 · outbound

This paper cites OmniBind: Large-scale Omni Multimodal Representation via Binding Spaces, July 2024.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination OmniBind: Large-scale Omni Multimodal Representation via Binding Spaces, July 2024

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:21.911119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3d20a240-4ea1-48d8-b90b-5cc4b2d6fdd1 · outbound

This paper cites NoiseBoost: Alleviating Hallucination with Noise Perturbation for Multimodal Large Language Models.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination NoiseBoost: Alleviating Hallucination with Noise Perturbation for Multimodal Large Language Models

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:21.148985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d667e5ca-d5d7-464b-babe-bbbef5721ce4 · outbound

This paper cites Logical closed loop: Uncovering object hallucinations in large vision-language models, June.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Logical closed loop: Uncovering object hallucinations in large vision-language models, June

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:21.888154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 47ef1170-bb62-4471-a8a6-582df0ec4586 · outbound

This paper cites Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:21.145228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e244359-a82f-402a-acd1-6a00a76d8029 · outbound

This paper cites LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:21.159544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45cccc22-f2bd-423e-a530-4cff9291a37c · outbound

This paper cites Next-gpt: Any-to-any multimodal llm, 2024.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Next-gpt: Any-to-any multimodal llm, 2024

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:21.878674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cd255aff-52d4-4a26-8db7-0da7c580a47f · outbound

This paper cites Gonzalez, Trevor Darrell, and David M.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Gonzalez, Trevor Darrell, and David M

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:21.869455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ca611f35-94ff-41b0-b198-c74b3a824dfa · outbound

This paper cites Qwen2.5-omni technical report, 2025.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Qwen2.5-omni technical report, 2025

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:21.169627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6017c97a-a05d-4405-a70f-9655ffbd07b4 · outbound

This paper cites Seeing the image: Prioritizing visual correlation by contrastive alignment, 2024.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Seeing the image: Prioritizing visual correlation by contrastive alignment, 2024

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:21.859473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 26be3a9c-5f8d-4a43-9c35-2b0d867498bf · outbound

This paper cites V-DPO: Mitigating Hallucination in Large Vision Language Models via Vision-Guided Direct Preference Optimization, November 2024.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination V-DPO: Mitigating Hallucination in Large Vision Language Models via Vision-Guided Direct Preference Optimization, November 2024

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:21.849245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dd59f5f7-ab2d-4cd7-8502-6b875e0ec7f9 · outbound

This paper cites xgen-mm (blip-3): A family of open large multimodal models.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination xgen-mm (blip-3): A family of open large multimodal models

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:21.179696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84373bfb-8705-452e-bfea-c10e6f3225e2 · outbound

This paper cites MSR-VTT: A Large Video Description Dataset for Bridging Video and Language.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination MSR-VTT: A Large Video Description Dataset for Bridging Video and Language

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:21.832220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 78b16ed0-9303-4c3c-9891-1ebefad9911f · outbound

This paper cites Re-Reading Improves Reasoning in Large Language Models.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Re-Reading Improves Reasoning in Large Language Models

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:21.176083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 849785db-ccbd-4759-9d8a-0c3c65910640 · outbound

This paper cites MiniCPM-o 2.6: A gpt-4o level mllm for vision, speech and multimodal live streaming on your phone.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination MiniCPM-o 2.6: A gpt-4o level mllm for vision, speech and multimodal live streaming on your phone

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:21.810171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ea35f79f-ff40-4567-a77a-3978e2829e66 · outbound

This paper cites ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:21.183268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation defbe47d-aa6a-4314-9ce7-c0fdbf61e165 · outbound

This paper cites Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment, December 2024.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment, December 2024

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:21.821417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b8d3e237-95db-434f-af88-c67173ed974c · outbound

This paper cites Hallucidoctor: Mitigating hallucinatory toxicity in visual instruction data.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Hallucidoctor: Mitigating hallucinatory toxicity in visual instruction data

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:21.778493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7a5d3581-80ad-401c-ac7b-9d8ced07d309 · outbound

This paper cites A survey on multimodal large language models.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination A survey on multimodal large language models

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:21.798920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3d4612e5-7642-4666-8649-81c64db4fc3b · outbound

This paper cites Woodpecker: Hallucination correction for multimodal large language models.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Woodpecker: Hallucination correction for multimodal large language models

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:21.788650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 19067ccb-f71f-4cb8-984f-b7ff2b8fd301 · outbound

This paper cites Skip \n: A Simple Method to Reduce Hallucination in Large Vision-Language Models.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Skip \n: A Simple Method to Reduce Hallucination in Large Vision-Language Models

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:21.210751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1af63ef-4a0e-46a8-9d30-305614fd0a81 · outbound

This paper cites Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:21.203786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fd945a4-1fa9-4727-8d32-02e37b4e4c04 · outbound

This paper cites Coavt: A cognition-inspired unified audio-visual-text pre-training model for multimodal processing, 2024.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Coavt: A cognition-inspired unified audio-visual-text pre-training model for multimodal processing, 2024

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:21.761674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a51a45a6-e317-4779-8ae3-b6fef2008601 · outbound

This paper cites Debiasing multimodal large language models.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Debiasing multimodal large language models

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:21.730514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 44f159c0-1906-424a-9749-0daae4889644 · outbound

This paper cites Anygpt: Unified multimodal llm with discrete sequence modeling, 2024.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Anygpt: Unified multimodal llm with discrete sequence modeling, 2024

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:22:21.750892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a60663d8-0c7f-4395-87bd-c6776c6e22f8 · outbound

This paper cites Video-llama: An instruction-tuned audio-visual language model for video understanding, 2023.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Video-llama: An instruction-tuned audio-visual language model for video understanding, 2023

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-05T13:22:21.218100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers