Paper Citation Record · LEDGER

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization

As of 15 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 1 inbound Pith citation observation for arXiv:2508.20181.

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

pith.paper-citation-record.v1
2508.20181 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:18:38.304903Z

measured 64 of 64 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T13:29:33.614965Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T13:33:28.064115Z

Reference resolution

63 of 63 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 86fa58ad-9fef-468b-8454-9981aceb40a5 · outbound

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

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 1

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Observation 30c65b2a-8c2a-4420-9b05-6500010b9090 · outbound

This paper cites Hallucination of Multimodal Large Language Models: A Survey.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Hallucination of Multimodal Large Language Models: A Survey

Reference 2

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Observation 4ae0cf45-190a-474b-87e3-2f62f86ec140 · outbound

This paper cites With a Little Help from your own Past: Prototypical Memory Networks for Image Captioning.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization With a Little Help from your own Past: Prototypical Memory Networks for Image Captioning

Reference 3

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Observation 1659d00d-a5ac-46c0-9207-c1b612038898 · outbound

This paper cites The Revolution of Multimodal Large Language Models: A Survey.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization The Revolution of Multimodal Large Language Models: A Survey

Reference 4

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Observation 9bfb76dc-749f-4a03-abd1-e54c319ce65d · outbound

This paper cites End-to-End Object Detection with Transformers.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization End-to-End Object Detection with Transformers

Reference 5

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Observation b9ab9a6f-c19c-4e72-832d-1e18dfcb6fda · outbound

This paper cites Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic

Reference 6

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Observation de52eb4e-5928-4687-a62e-82d6be2a150c · outbound

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

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Gonzalez, Ion Stoica, and Eric P

Reference 7

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Observation a864a7fd-65c0-4e08-a6ee-f8308d2cb009 · outbound

This paper cites DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

Reference 8

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Observation 409edc50-62c0-4faf-b294-d9d658422371 · outbound

This paper cites LLaV A-MORE: A Comparative Study of LLMs and Visual Backbones for Enhanced Visual Instruction Tuning.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization LLaV A-MORE: A Comparative Study of LLMs and Visual Backbones for Enhanced Visual Instruction Tuning

Reference 9

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Observation 85874f6f-1ea4-42e8-988f-1fd23bfac7d8 · outbound

This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 10

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Observation bbfcb825-8c4e-4243-9022-cddcb6cf1bfb · outbound

This paper cites The Llama 3 Herd of Models.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization The Llama 3 Herd of Models

Reference 11

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Observation 26692736-0744-4ec6-ab86-8691a51495b5 · outbound

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

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 12

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Observation 975ac317-3c2a-4179-bac7-21f7b5ddf0c3 · outbound

This paper cites OneLLM: One Framework to Align All Modalities with Language.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization OneLLM: One Framework to Align All Modalities with Language

Reference 13

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Observation 48bc36a0-c4c1-4021-a769-7251e75154b0 · outbound

This paper cites ORPO: Monolithic Preference Optimization without Reference Model.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization ORPO: Monolithic Preference Optimization without Reference Model

Reference 14

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Observation 71a0e014-6121-40c8-bc06-53f4ad4b5d69 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization LoRA: Low-Rank Adaptation of Large Language Models

Reference 15

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Observation 7a7bfd4f-cb9f-4325-bd30-aaf09ad67403 · outbound

This paper cites A Survey on Hal- lucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization A Survey on Hal- lucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 16

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Observation c14090ae-40f0-470b-ab88-20f9de405246 · outbound

This paper cites OPERA: Alleviating Hallucination in Multi- Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization OPERA: Alleviating Hallucination in Multi- Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation

Reference 17

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Observation 5e7976ae-1078-4768-951f-4cc87b0400a0 · outbound

This paper cites SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization

Reference 18

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Observation e846edc9-7c40-4f77-b1ce-f3caa3706ea2 · outbound

This paper cites Modality-Fair Preference Optimization for Trustworthy MLLM Alignment.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Modality-Fair Preference Optimization for Trustworthy MLLM Alignment

Reference 19

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Observation a42f421e-1b5d-415d-9ed2-ff3e785bc210 · outbound

This paper cites Deep Visual-Semantic Alignments for Generating Image Descriptions.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Deep Visual-Semantic Alignments for Generating Image Descriptions

Reference 20

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Observation 59680675-abe2-464c-94f4-a16dfb6e9bb0 · outbound

This paper cites A Diagram is Worth a Dozen Images.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization A Diagram is Worth a Dozen Images

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:18:44.684805Z

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Observation 5e912978-ee41-49a9-9984-22d5bd633da6 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Adam: A Method for Stochastic Optimization

Reference 22

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Observation 1052199a-a17c-4420-88d2-7892d7a4e89e · outbound

This paper cites Building and Better Understanding Vision-Language Models: Insights and Future Directions.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Building and Better Understanding Vision-Language Models: Insights and Future Directions

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:18:44.355978Z

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Observation 782f36dd-a6c6-4514-9b0e-130490a86fe2 · outbound

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

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding

Reference 24

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Observation 40f8d7e9-5703-4601-bb7d-a57e3398ae68 · outbound

This paper cites SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Reference 25

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Observation 58dee9f8-daed-449c-9788-e2ce6244e4a2 · outbound

This paper cites Microsoft COCO: Common Objects in Context.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Microsoft COCO: Common Objects in Context

Reference 26

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Observation 8a29cf57-fccb-4d96-804a-05a41d34fda5 · outbound

This paper cites Visual Instruction Tuning.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Visual Instruction Tuning

Reference 27

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Observation c781c242-1977-4ea8-9c01-e67a1ebf7b27 · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Improved Baselines with Visual Instruction Tuning

Reference 28

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Observation 8f50a13a-764c-48c3-80ec-3fa938bc28b8 · outbound

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Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Neural Baby Talk

Reference 29

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Observation 77d1b174-dcb7-4de3-9546-555040288061 · outbound

This paper cites Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering

Reference 30

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Observation 8dc5e733-1208-4222-ab15-4a45185e77ea · outbound

This paper cites Revisiting Image Captioning Training Paradigm via Direct CLIP-based Optimization.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Revisiting Image Captioning Training Paradigm via Direct CLIP-based Optimization

Reference 31

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Observation 832d9554-25a1-458b-aafb-d7903e8b18df · outbound

This paper cites Training Language Models to Follow Instructions with Human Feedback.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Training Language Models to Follow Instructions with Human Feedback

Reference 32

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Observation bee4125a-b824-4a19-a701-e96c733a7aa2 · outbound

This paper cites X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning

Reference 33

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This paper cites Kosmos-2: Grounding Multimodal Large Language Models to the World.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Kosmos-2: Grounding Multimodal Large Language Models to the World

Reference 34

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This paper cites ALOHa: A New Measure for Hallucination in Captioning Models.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization ALOHa: A New Measure for Hallucination in Captioning Models

Reference 35

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Observation 07fdf4d2-ab81-4fa0-b523-3151a51980cf · outbound

This paper cites Learning Transferable Visual Models from Natural Language Supervision.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Learning Transferable Visual Models from Natural Language Supervision

Reference 36

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This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:18:42.550010Z

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Observation 2ab81ef8-0b8d-4628-a278-a6ef25256dbf · outbound

This paper cites Zero: Memory optimizations toward training trillion parameter models.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Zero: Memory optimizations toward training trillion parameter models

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:18:42.384739Z

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Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Unresolved cited work

Reference 39

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This paper cites GLaMM: Pixel Grounding Large Multimodal Model.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization GLaMM: Pixel Grounding Large Multimodal Model

Reference 40

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This paper cites Object Hallucination in Image Captioning.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Object Hallucination in Image Captioning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:18:41.766647Z

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Observation e2148b3b-839c-4bc9-b88e-1885fa84595a · outbound

This paper cites A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:18:41.518595Z

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Observation 18cd79d6-89c2-4614-9fd1-0edbf04ae8c5 · outbound

This paper cites Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:18:41.320547Z

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This paper cites Image Captioning Evaluation in the Age of Multimodal LLMs: Challenges and Future Perspectives.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Image Captioning Evaluation in the Age of Multimodal LLMs: Challenges and Future Perspectives

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:18:41.081923Z

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Observation cbd03fb7-f0da-4845-9c97-0303d3c985e1 · outbound

This paper cites Preference Ranking Optimization for Human Alignment.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Preference Ranking Optimization for Human Alignment

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:18:40.899088Z

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Observation 1421c234-b11e-4b39-b548-1af87161d091 · outbound

This paper cites Generative Multimodal Models Are In-Context Learners.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Generative Multimodal Models Are In-Context Learners

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:18:40.659037Z

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Observation 8bfa37b4-121b-4936-9a27-13d83b38e546 · outbound

This paper cites Emu: Generative Pretraining in Multimodality.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Emu: Generative Pretraining in Multimodality

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:18:40.408757Z

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Observation a9ea855e-2585-4e7c-b925-5d19ae5679d1 · outbound

This paper cites Chameleon: Mixed-Modal Early-Fusion Foundation Models.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 48

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Observation b496aa58-812d-4983-9b89-7980a5cfb16d · outbound

This paper cites Diffusion Model Alignment Using Direct Preference Optimization.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Diffusion Model Alignment Using Direct Preference Optimization

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:18:40.143255Z

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 542df41f-67b2-4837-b2cd-d153c98b5043 · outbound

This paper cites mDPO: Conditional Preference Optimization for Multimodal Large Language Models.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization mDPO: Conditional Preference Optimization for Multimodal Large Language Models

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:18:39.954334Z

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 e47e4548-3d66-4c7c-812c-0ee946ed0445 · outbound

This paper cites AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-05T15:18:37.343758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 763ebf0d-5362-40ed-bb2b-a54dc70e86a7 · outbound

This paper cites β-DPO: Direct Preference Optimization with Dynamic β.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization β-DPO: Direct Preference Optimization with Dynamic β

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:18:39.747243Z

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 71201094-c262-4c15-a072-894163de4499 · outbound

This paper cites Generate, but Verify: Reducing Hallucination in Vision-Language Models with Retrospective Resampling.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Generate, but Verify: Reducing Hallucination in Vision-Language Models with Retrospective Resampling

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-05T15:18:37.545387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68748eee-39d8-4884-970b-7d04b4f7f28e · outbound

This paper cites Hallucination is Inevitable: An Innate Limitation of Large Language Models.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Hallucination is Inevitable: An Innate Limitation of Large Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-05T15:18:37.645387Z

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Observation da24e78b-5ea9-48d6-b792-84db0f1e00c9 · outbound

This paper cites mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:18:39.562614Z

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 54aecb68-9571-4f58-aad0-03e267d4e7cb · outbound

This paper cites Woodpecker: Hallucination Correction for Multimodal Large Language Models.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:18:39.284926Z

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 59fcc504-01a8-47f3-ac35-cb77c76f39af · outbound

This paper cites RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:18:39.157806Z

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 313a7679-acee-4046-a3cd-d430e7fe5070 · outbound

This paper cites MMMU: A Massive Multi- discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization MMMU: A Massive Multi- discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:18:38.972271Z

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 546fe4ea-ce4f-4fe7-b9f4-1bd76adecadc · outbound

This paper cites Less is More: Mitigating Multimodal Hallucina- tion from an EOS Decision Perspective.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Less is More: Mitigating Multimodal Hallucina- tion from an EOS Decision Perspective

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:18:38.798240Z

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 1661428f-ebf7-4c65-8919-adb87ceb1eb5 · outbound

This paper cites Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-05T15:18:38.154826Z

Source-reported events for the cited work

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Observation cd5e3884-6b94-458c-8444-5aad718bfc37 · outbound

This paper cites Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-05T15:18:38.238296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 434d2507-e21f-4685-9e3a-59f1de608687 · outbound

This paper cites Aligning Modalities in Vision Large Language Models via Preference Fine-tuning.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Aligning Modalities in Vision Large Language Models via Preference Fine-tuning

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-05T15:18:38.304903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58115e0f-2772-4f35-9bbf-efa8d4f24aa3 · outbound

This paper cites an unresolved cited work.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization Unresolved cited work

Reference 2023

Resolution: unresolved; raw_fallback, observed 2026-08-05T15:18:45.992589Z

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.

Pith citing papers

Observation 52162736-4518-4fe8-a41c-cfd720d0e08f · inbound

Rethinking Visual Neglect: Steering via Context-Preference for MLLM Hallucination Mitigation cites this paper.

Rethinking Visual Neglect: Steering via Context-Preference for MLLM Hallucination Mitigation Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:33:28.065432Z

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.