Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-17T22:46:52.791128Z
Paper Citation Record · LEDGER
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
As of 4 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 32 inbound Pith citation observations for arXiv:2310.00754.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T13:10:37.730186Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T06:15:00.866473Z
Reference resolution
36 of 36 outbound references displayed
- verified exact15
- verified fuzzy15
- unresolved2
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- malformed identifier1
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ac2f5925-80a1-44b4-ba0c-9fb73d6a59c6 · outbound
This paper cites Spice: Semantic propo- sitional image caption evaluation.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Spice: Semantic propo- sitional image caption evaluation
Reference 1
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b76deb28-c29f-47fb-847a-12d8345ba2d7 · outbound
This paper cites Language models are few-shot learners.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Language models are few-shot learners
Reference 2
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0626c54b-afdc-414c-8aa1-d9f4fb2bd2e5 · outbound
This paper cites PaLM: Scaling Language Modeling with Pathways.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models PaLM: Scaling Language Modeling with Pathways
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8e3cbca3-e2e4-4948-aa48-63f41b8fbc72 · outbound
This paper cites Imagenet: A large-scale hi- erarchical image database.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Imagenet: A large-scale hi- erarchical image database
Reference 4
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0c2d021f-74d0-4cc9-927b-3b84cb082e4c · outbound
This paper cites Beam Search Strategies for Neural Machine Translation.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Beam Search Strategies for Neural Machine Translation
Reference 5
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7e1e473a-42e7-4dc2-adb2-e451ebeae8b7 · outbound
This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
Reference 6
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a1559b26-52ec-4964-ab3f-1493c732d9b2 · outbound
This paper cites Detecting and Preventing Hallucinations in Large Vision Language Models.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Detecting and Preventing Hallucinations in Large Vision Language Models
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c1b7524b-56f1-45dc-a421-2d4ed7ceb471 · outbound
This paper cites The Curious Case of Neural Text Degeneration.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models The Curious Case of Neural Text Degeneration
Reference 8
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9b8567d6-a993-46fa-a22f-178ffed58782 · outbound
This paper cites Advancing Medical Imaging with Language Models: A Journey from N-grams to ChatGPT.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Advancing Medical Imaging with Language Models: A Journey from N-grams to ChatGPT
Reference 9
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation addd1ec6-8c7b-45fc-ab79-f80d2ccf3710 · outbound
This paper cites Otter: A Multi-Modal Model with In-Context Instruction Tuning.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Otter: A Multi-Modal Model with In-Context Instruction Tuning
Reference 10
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 22d6efca-1c69-4f84-b8e1-d67832766b25 · outbound
This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Reference 11
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b502d204-7ad7-4b19-b98a-569f534a9b9b · outbound
This paper cites Microsoft coco: Common objects in context.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Microsoft coco: Common objects in context
Reference 12
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f483fa57-0941-4c38-9fae-44514d80e097 · outbound
This paper cites Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning
Reference 13
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6e769740-9b31-4053-8c05-48e46806c6cb · outbound
This paper cites LLM as A Robotic Brain: Unifying Egocentric Memory and Control.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models LLM as A Robotic Brain: Unifying Egocentric Memory and Control
Reference 14
- Resolution
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Source-reported events for the cited work
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Observation cac2ace2-de9f-4f13-b8bf-162218557e17 · outbound
This paper cites Object hallucination in image captioning.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Object hallucination in image captioning
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 661868a5-f1c7-4276-87e0-a2448859dd21 · outbound
This paper cites Can Language Models Teach Weaker Agents? Teacher Explanations Improve Students via Personalization.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Can Language Models Teach Weaker Agents? Teacher Explanations Improve Students via Personalization
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:46:52.898772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e0722b23-8a44-4d81-9ddc-8843e4926c5e · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models LLaMA: Open and Efficient Foundation Language Models
Reference 17
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation 6f543af6-1061-4b42-8a8b-ea10fae08fdd · outbound
This paper cites Evaluation and Analysis of Hallucination in Large Vision-Language Models.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Evaluation and Analysis of Hallucination in Large Vision-Language Models
Reference 18
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ce33ff3c-5afd-4b5f-a530-f9ae1e4c4163 · outbound
This paper cites mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality
Reference 19
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation 1f50a754-badd-479f-98f7-5b14e5e086b4 · outbound
This paper cites Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts
Reference 20
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 54106970-5932-4511-a04b-0c803c6fb8dd · outbound
This paper cites How Language Model Hallucinations Can Snowball.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models How Language Model Hallucinations Can Snowball
Reference 21
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d6224d4d-b0d8-40d9-9432-72ac74903836 · outbound
This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:46:52.841020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 52a605b5-ce49-4d07-b67e-e0d2a4ade037 · outbound
This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:46:52.846811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 77f66806-8a00-44de-8e84-b0752fed31a6 · outbound
This paper cites Experimental Setting for the Uncertainty Analysis.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Experimental Setting for the Uncertainty Analysis
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d82d0843-12d9-47eb-bfb1-9ea8c1712500 · outbound
This paper cites Greedy-Decoding.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Greedy-Decoding
Reference 25
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3272df5a-7b1a-40ac-a189-20d868fca4b3 · outbound
This paper cites 15 Published as a conference paper at ICLR 2024 Table 8: Prompts for baselines.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models 15 Published as a conference paper at ICLR 2024 Table 8: Prompts for baselines
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 32924fb3-2fda-4417-afdf-b11a8a9890da · outbound
This paper cites 16 Published as a conference paper at ICLR 2024 Figure 4: Human evaluation annotation interface.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models 16 Published as a conference paper at ICLR 2024 Figure 4: Human evaluation annotation interface
Reference 27
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4360ae24-4299-4fd2-99d5-80a218759742 · outbound
This paper cites As ˆβk = µ∗ k + 1 nk Pnk i=1 ϵi := µ∗ k + 1√nk Z, we have ⟨µ∗ k, ˆβk⟩ ∥ ˆβk∥ = ∥βk∥2 + 1√nk ⟨µ∗ k, Z⟩ q ∥µ∗ k∥2 + 2√nk ⟨µ∗ k, Z⟩ + 1 nk ∥Z∥2.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models As ˆβk = µ∗ k + 1 nk Pnk i=1 ϵi := µ∗ k + 1√nk Z, we have ⟨µ∗ k, ˆβk⟩ ∥ ˆβk∥ = ∥βk∥2 + 1√nk ⟨µ∗ k, Z⟩ q ∥µ∗ k∥2 + 2√nk ⟨µ∗ k, Z⟩ + 1 nk ∥Z∥2
Reference 28
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 275d61b0-f3c4-4772-a8e8-27d8cd3b7b0f · outbound
This paper cites BERTScore measures the similarity between a reference text and a generated text by computing contextualized embeddings using BERT.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models BERTScore measures the similarity between a reference text and a generated text by computing contextualized embeddings using BERT
Reference 29
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5a430ab1-f325-4281-bead-13fdf1d15288 · outbound
This paper cites Currently, the CHAIR metric can only be applied to the COCO dataset, which limits its usability beyond that dataset.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Currently, the CHAIR metric can only be applied to the COCO dataset, which limits its usability beyond that dataset
Reference 30
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7f03c6a1-8223-416a-9180-9814a0a3944f · outbound
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Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Ori + Cap
Reference 31
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3432d4b4-015c-4a3c-8c30-76546d742ffb · outbound
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Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Unresolved cited work
Reference 32
- Resolution
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Source-reported events for the cited work
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Observation b1273a47-620d-4f01-b0ba-ff037c4ab806 · outbound
This paper cites an unresolved cited work.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Unresolved cited work
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 755dfe3c-4a5c-4e5d-8be5-98cbebe4cd7e · outbound
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Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Original caption
Reference 34
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 06ee8eab-9825-4f61-8e17-8ad6e1903403 · outbound
This paper cites column represents the hallucinated description constructed by GPT-3.5.
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models column represents the hallucinated description constructed by GPT-3.5
Reference 35
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1215b433-a6b9-41c1-b3d5-e6dae2ca8eec · outbound
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Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Original
Reference 36
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
Observation 12a33575-69f3-4cfc-905a-55cc96663a79 · inbound
A Survey on Multimodal Large Language Models cites this paper.
A Survey on Multimodal Large Language Models Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 169
- Resolution
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Source-reported events for the cited work
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Observation c27ee66f-29c2-4088-bbde-04bbeab14081 · inbound
Agent AI: Surveying the Horizons of Multimodal Interaction cites this paper.
Agent AI: Surveying the Horizons of Multimodal Interaction Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 189
- Resolution
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Source-reported events for the cited work
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Observation 6408f0e9-81a9-440a-a9ed-403e9e70afa2 · inbound
Aligning Modalities in Vision Large Language Models via Preference Fine-tuning cites this paper.
Aligning Modalities in Vision Large Language Models via Preference Fine-tuning Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 185
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Source-reported events for the cited work
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Observation c55949c9-ddf0-47b7-bd62-05077bb2615a · inbound
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models cites this paper.
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 125
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b70f87ed-7493-4dd3-9e1a-0c01efcc4591 · inbound
Hallucination of Multimodal Large Language Models: A Survey cites this paper.
Hallucination of Multimodal Large Language Models: A Survey Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 232
- Resolution
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Source-reported events for the cited work
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Observation b62590a0-b430-4b0a-809c-9ad4d80a2856 · inbound
Detecting and Evaluating Medical Hallucinations in Large Vision Language Models cites this paper.
Detecting and Evaluating Medical Hallucinations in Large Vision Language Models Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 28
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 304ec3fb-c118-4fe2-bc8a-bff1bae95a40 · inbound
Mitigating Hallucination in Large Vision-Language Models via Adaptive Attention Calibration cites this paper.
Mitigating Hallucination in Large Vision-Language Models via Adaptive Attention Calibration Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 25
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Source-reported events for the cited work
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Observation 2ab75414-6c3d-4247-be0b-5dd8739a5608 · inbound
Revisit What You See: Revealing Visual Semantics in Vision Tokens to Guide LVLM Decoding cites this paper.
Revisit What You See: Revealing Visual Semantics in Vision Tokens to Guide LVLM Decoding Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 21
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e8134b94-25cf-44e9-b758-18da95ff0d53 · inbound
Mitigating Object Hallucinations via Sentence-Level Early Intervention cites this paper.
Mitigating Object Hallucinations via Sentence-Level Early Intervention Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 85
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 52783e8d-7aaf-4406-8310-ae9667e45054 · inbound
ReflectCAP: Detailed Image Captioning with Reflective Memory cites this paper.
ReflectCAP: Detailed Image Captioning with Reflective Memory Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 41
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 59cf94a8-23cd-4087-b434-5852c620b0b0 · inbound
Relaxing Anchor-Frame Dominance for Mitigating Hallucinations in Video Large Language Models cites this paper.
Relaxing Anchor-Frame Dominance for Mitigating Hallucinations in Video Large Language Models Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:46:52.958092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation eaf5175a-dd19-4417-855e-80bd8f25d913 · inbound
VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing cites this paper.
VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:46:52.958092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 465f47d0-7456-4215-a7ab-8b329ee9e2ef · inbound
Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation cites this paper.
Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 149
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T22:46:52.958092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9d93e0e1-e126-46ba-b8fd-5b9481e984a4 · inbound
HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering cites this paper.
HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 255
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:46:52.958092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 79b2eb0f-bb18-4446-9fbc-45bd067069f1 · inbound
DO-Bench: An Attributable Benchmark for Diagnosing Object Hallucination in Vision-Language Models cites this paper.
DO-Bench: An Attributable Benchmark for Diagnosing Object Hallucination in Vision-Language Models Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 44
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T22:46:52.958092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a8b712a4-fdaa-42f7-8aae-f1ba9b5dc2bc · inbound
Mitigating Multimodal LLMs Hallucinations via Relevance Propagation at Inference Time cites this paper.
Mitigating Multimodal LLMs Hallucinations via Relevance Propagation at Inference Time Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:46:52.958092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2f9f8d5d-e933-4e4c-8abd-e85c30c869c0 · inbound
CAST: Mitigating Object Hallucination in Large Vision-Language Models via Caption-Guided Visual Attention Steering cites this paper.
CAST: Mitigating Object Hallucination in Large Vision-Language Models via Caption-Guided Visual Attention Steering Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 55
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T22:46:52.958092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c3d03907-702c-4a2b-961e-f8f06b93ae40 · inbound
Uncertainty-Aware Exploratory Direct Preference Optimization for Multimodal Large Language Models cites this paper.
Uncertainty-Aware Exploratory Direct Preference Optimization for Multimodal Large Language Models Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:46:52.958092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 63dacef3-5747-4d5b-bdab-46ab6a543752 · inbound
Through the Lens of Character: Resolving Modality-Role Interference in Multimodal Role-Playing Agent cites this paper.
Through the Lens of Character: Resolving Modality-Role Interference in Multimodal Role-Playing Agent Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:46:52.958092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 752cd7ec-3817-4378-94b6-f3efa5dae527 · inbound
Rethinking Evaluation for LLM Hallucination Detection: A Desiderata, A New RAG-based Benchmark, New Insights cites this paper.
Rethinking Evaluation for LLM Hallucination Detection: A Desiderata, A New RAG-based Benchmark, New Insights Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 8
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T22:46:52.958092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 52be22a2-bfa9-41ed-8d60-0c846e99abbd · inbound
Letting the neural code speak: Automated characterization of monkey visual neurons through human language cites this paper.
Letting the neural code speak: Automated characterization of monkey visual neurons through human language Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 111
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T22:46:52.958092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ad7c3f35-668d-4bcb-840b-19346b7feea6 · inbound
Letting the neural code speak: Automated characterization of monkey visual neurons through human language cites this paper.
Letting the neural code speak: Automated characterization of monkey visual neurons through human language Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 108
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T21:19:02.994029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7cd5ffe4-4454-46eb-9968-79e4b4a85ac5 · inbound
Reducing Object Hallucination in LVLMs via Emphasizing Image-negative Tokens cites this paper.
Reducing Object Hallucination in LVLMs via Emphasizing Image-negative Tokens Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T05:09:38.501436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2aac6f14-38bd-4cb7-b13d-c93879c47179 · 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 Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T13:33:28.079362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 81a24a2b-6d3f-4470-8c24-0b1f5c5cc3f4 · inbound
CFPO: Counterfactual Policy Optimization for Multimodal Reasoning cites this paper.
CFPO: Counterfactual Policy Optimization for Multimodal Reasoning Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 14
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-04T10:09:44.505727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ca1d5699-7564-491a-91a7-b184304ccbed · inbound
Dismantling Pathological Shortcuts: A Causal Framework for Faithful LVLM Decoding cites this paper.
Dismantling Pathological Shortcuts: A Causal Framework for Faithful LVLM Decoding Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T19:06:02.550019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5f1abeed-5e40-484b-84de-791a5855d9a4 · inbound
Clearer Sight, Fewer Lies: Oriented Pickup Preference Optimization for Multimodal Hallucination Mitigation cites this paper.
Clearer Sight, Fewer Lies: Oriented Pickup Preference Optimization for Multimodal Hallucination Mitigation Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 84
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T06:14:18.773228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ec7b2aea-081f-4252-87f6-3bf6591d5cf3 · inbound
Clearer Sight, Fewer Lies: Oriented Pickup Preference Optimization for Multimodal Hallucination Mitigation cites this paper.
Clearer Sight, Fewer Lies: Oriented Pickup Preference Optimization for Multimodal Hallucination Mitigation Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 84
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T07:05:28.696611Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2066eb10-ace4-4c3c-abf2-95c0f4d1aaf8 · inbound
SeeMe: Mitigating Hallucinations in Large Vision-Language Models through Effective Visual Token Engineering cites this paper.
SeeMe: Mitigating Hallucinations in Large Vision-Language Models through Effective Visual Token Engineering Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T21:15:25.010442Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0497efb9-b8ea-44f1-ac72-9a7631306261 · inbound
Visual Token Compression Enhances Robustness of MLLMs cites this paper.
Visual Token Compression Enhances Robustness of MLLMs Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 84
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:10:37.730186Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa02346c-9560-4809-bf91-3294a5637047 · inbound
A Taxonomy of Confabulations and the Perception-Reality Gap in LLM-Assisted Immersive Scene Editing cites this paper.
A Taxonomy of Confabulations and the Perception-Reality Gap in LLM-Assisted Immersive Scene Editing Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T03:19:37.974613Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8968e34-e0f8-445a-ad8b-7da358ac7a98 · inbound
DICA: Dual-Indicator Guided Contrastive Alignment in Multimodal Large Language Models cites this paper.
DICA: Dual-Indicator Guided Contrastive Alignment in Multimodal Large Language Models Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T23:32:08.978975Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.