Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models | Paper Citation Record

Observation 70721b71-9a16-4c3f-991a-9fbf08de0d47 · outbound

This paper cites GPT-4 Technical Report.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models GPT-4 Technical Report

Reference 1

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This paper cites How many opinions does your llm have? improving uncertainty estimation in nlg.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models How many opinions does your llm have? improving uncertainty estimation in nlg

Reference 2

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Observation 9ab4718f-62d3-46dd-b731-b3e6c9d34225 · outbound

This paper cites Multimodal Automated Fact-Checking: A Survey.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Multimodal Automated Fact-Checking: A Survey

Reference 3

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This paper cites Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models

Reference 4

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This paper cites Predicting and understanding human action decisions during skillful joint-action using supervised machine learning and explainable-ai.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Predicting and understanding human action decisions during skillful joint-action using supervised machine learning and explainable-ai

Reference 5

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This paper cites Qwen-vl: A versatile vision-language model for un- derstanding, localization, text reading, and beyond, 2023.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Qwen-vl: A versatile vision-language model for un- derstanding, localization, text reading, and beyond, 2023

Reference 6

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

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Hallucination of Multimodal Large Language Models: A Survey

Reference 7

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Observation 5db89a14-a179-4fcf-82e6-514f3fea699e · outbound

This paper cites Lan- guage models are few-shot learners.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Lan- guage models are few-shot learners

Reference 8

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Observation 7793d10b-c01a-4ba6-b99c-5e5d07611216 · outbound

This paper cites The revolution of multimodal large language models: a survey.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models The revolution of multimodal large language models: a survey

Reference 9

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This paper cites Rational use of cognitive resources in human planning.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Rational use of cognitive resources in human planning

Reference 10

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This paper cites A Review of Multi-Modal Large Language and Vision Models.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models A Review of Multi-Modal Large Language and Vision Models

Reference 11

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Observation 778e27d7-e173-4975-b03c-8f1f85040522 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models ShapeNet: An Information-Rich 3D Model Repository

Reference 12

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Observation 8e19de4c-965d-4307-a9e4-d5dd6321d415 · outbound

This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 13

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Observation 376f40cc-73b1-4818-95c8-fbb7dec15dbc · outbound

This paper cites Unified Hallucination Detection for Multimodal Large Language Models.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Unified Hallucination Detection for Multimodal Large Language Models

Reference 14

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This paper cites Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models

Reference 15

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This paper cites Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks

Reference 16

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This paper cites I don’t know: Explicit modeling of uncertainty with an [idk] token.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models I don’t know: Explicit modeling of uncertainty with an [idk] token

Reference 17

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Observation ca946fa2-aa29-4d04-ab07-3c5d5c2bb9ce · outbound

This paper cites Human uncertainty in concept-based ai systems.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Human uncertainty in concept-based ai systems

Reference 18

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This paper cites Objaverse: A universe of annotated 3d objects.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Objaverse: A universe of annotated 3d objects

Reference 19

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Observation 97b9a2c7-0104-4af2-9a91-389aedb00c99 · outbound

This paper cites Retrieve only when it needs: Adaptive re- trieval augmentation for hallucination mitigation in large lan- guage models.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Retrieve only when it needs: Adaptive re- trieval augmentation for hallucination mitigation in large lan- guage models

Reference 20

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This paper cites Clotho: An audio captioning dataset.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Clotho: An audio captioning dataset

Reference 21

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This paper cites PUMA: Empowering Unified MLLM with Multi-granular Visual Generation.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models PUMA: Empowering Unified MLLM with Multi-granular Visual Generation

Reference 22

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This paper cites From uncertainty to trust: Enhancing re- liability in vision-language models with uncertainty-guided dropout decoding.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models From uncertainty to trust: Enhancing re- liability in vision-language models with uncertainty-guided dropout decoding

Reference 23

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

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Detecting hallucinations in large language models using semantic entropy

Reference 24

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This paper cites Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition

Reference 25

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This paper cites Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing

Reference 26

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This paper cites Enhancing video-language representations with structural spatio-temporal alignment.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Enhancing video-language representations with structural spatio-temporal alignment

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

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Imagebind: One embedding space to bind them all

Reference 28

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This paper cites Large language models respond to influence like humans.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Large language models respond to influence like humans

Reference 29

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

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Onellm: One framework to align all modalities with language

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Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Denoising dif- fusion probabilistic models

Reference 31

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This paper cites A Survey on Evaluation of Multimodal Large Language Models.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models A Survey on Evaluation of Multimodal Large Language Models

Reference 32

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Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Visual Hallucinations of Multi-modal Large Language Models

Reference 33

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Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models GPT-4o System Card

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This paper cites MAP: Multimodal Uncertainty-Aware Vision-Language Pre-training Model.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models MAP: Multimodal Uncertainty-Aware Vision-Language Pre-training Model

Reference 35

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This paper cites Mimic-cxr, a de- identified publicly available database of chest radiographs with free-text reports.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Mimic-cxr, a de- identified publicly available database of chest radiographs with free-text reports

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Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Exploring the Frontiers of LLMs in Psychological Applications: A Comprehensive Review

Reference 37

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Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Audiocaps: Generating captions for audios in the wild

Reference 38

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Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models AudioGen: Textually Guided Audio Generation

Reference 39

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Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models RGB2Point: 3D Point Cloud Generation from Single RGB Images

Reference 40

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Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models UNIMO-G: Unified Image Generation through Multimodal Conditional Diffusion

Reference 41

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This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Evaluating Object Hallucination in Large Vision-Language Models

Reference 42

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Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 43

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This paper cites Clotho-aqa: A crowd- sourced dataset for audio question answering.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Clotho-aqa: A crowd- sourced dataset for audio question answering

Reference 44

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This paper cites Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning

Reference 45

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Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Visual instruction tuning

Reference 46

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This paper cites VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation

Reference 47

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This paper cites Unibind: Llm-augmented unified and balanced representa- tion space to bind them all.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Unibind: Llm-augmented unified and balanced representa- tion space to bind them all

Reference 48

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This paper cites Openeqa: Embodied question answering in the era of foun- dation models.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Openeqa: Embodied question answering in the era of foun- dation models

Reference 49

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This paper cites Point-E: A System for Generating 3D Point Clouds from Complex Prompts.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Point-E: A System for Generating 3D Point Clouds from Complex Prompts

Reference 50

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This paper cites Human uncertainty makes clas- sification more robust.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Human uncertainty makes clas- sification more robust

Reference 51

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This paper cites MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance

Reference 52

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Observation 7e38aa81-7496-4998-b151-13add24a20ee · outbound

This paper cites Flickr30k entities: Collecting region-to-phrase corre- spondences for richer image-to-sentence models.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Flickr30k entities: Collecting region-to-phrase corre- spondences for richer image-to-sentence models

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:36:16.972679Z

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Observation 0440a7a7-ffff-4e94-8d09-61ab9705dc2c · outbound

This paper cites Robust speech recognition via large-scale weak supervision.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Robust speech recognition via large-scale weak supervision

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:36:16.958347Z

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Observation 07b9fbbe-98d3-49d7-ba6f-307a9daff762 · outbound

This paper cites Object Hallucination in Image Captioning.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Object Hallucination in Image Captioning

Reference 55

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Observation faefea57-4f5e-4ad6-9d7d-de744989a0d0 · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models High-resolution image syn- thesis with latent diffusion models

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:36:16.944222Z

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Observation eca5bd21-10f8-4cc3-91c8-1e66359ac523 · outbound

This paper cites A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions

Reference 57

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Observation 5a5ddccc-f0da-48e1-ab39-cea1af7510ee · outbound

This paper cites Moma: Multimodal llm adapter for fast personalized image generation.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Moma: Multimodal llm adapter for fast personalized image generation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:36:16.927402Z

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Observation 6bbc8983-0700-42fc-adbe-2898be57e7a3 · outbound

This paper cites Pix3d: Dataset and methods for single-image 3d shape modeling.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Pix3d: Dataset and methods for single-image 3d shape modeling

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:36:16.913292Z

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Observation dd0d44dc-603d-40b7-8a28-579308a563b1 · outbound

This paper cites Any-to-any generation via composable diffu- sion.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Any-to-any generation via composable diffu- sion

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:36:16.898734Z

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Observation 49d04c41-9cc9-4a29-9a9a-9659e12366b7 · outbound

This paper cites Codi-2: In-context in- terleaved and interactive any-to-any generation.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Codi-2: In-context in- terleaved and interactive any-to-any generation

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:36:16.883874Z

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Observation 476d3ee4-1bd3-480e-8dfe-036b1e821b17 · outbound

This paper cites Evaluating the Evaluation of Diversity in Natural Language Generation.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Evaluating the Evaluation of Diversity in Natural Language Generation

Reference 62

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Observation 8e9d0d8f-51dc-419f-a014-a59245f18cdf · outbound

This paper cites Evaluation and Analysis of Hallucination in Large Vision-Language Models.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Evaluation and Analysis of Hallucination in Large Vision-Language Models

Reference 63

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Observation ae3f04ff-f2a2-460f-8022-02163d43b24e · outbound

This paper cites Uncertainty Aware Learning for Language Model Alignment.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Uncertainty Aware Learning for Language Model Alignment

Reference 64

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Observation 8e788e5a-7fc5-4718-a811-dd04f9b82aea · outbound

This paper cites Multimodal large language models: A sur- vey.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Multimodal large language models: A sur- vey

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:36:16.870372Z

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Observation 7aaf53df-d37c-4d31-b5c1-7996665ae2f2 · outbound

This paper cites Visual Prompting in Multimodal Large Language Models: A Survey.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Visual Prompting in Multimodal Large Language Models: A Survey

Reference 66

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Observation 12192345-6dc4-4ee5-8aa6-b83f32a2c336 · outbound

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

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Next-gpt: Any-to-any multimodal llm

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T05:36:15.720986Z

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Observation 3020b22e-730f-449a-a1b0-7c92dec595ea · outbound

This paper cites Self-correcting llm-controlled diffusion models.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Self-correcting llm-controlled diffusion models

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:36:16.847851Z

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Observation 1d991fb0-35ef-43ac-8b4d-0d762251ead3 · outbound

This paper cites Can graph learning improve planning in llm-based agents? In The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Can graph learning improve planning in llm-based agents? In The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:36:16.834135Z

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Observation 2548339c-b73b-4fa1-af65-6be55726c9a3 · outbound

This paper cites 3d shapenets: A deep representation for volumetric shapes.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models 3d shapenets: A deep representation for volumetric shapes

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:36:16.819142Z

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Observation 2ae6169d-5f76-4e1c-8488-ab0d4516dd1c · outbound

This paper cites Next-qa: Next phase of question-answering to explaining temporal actions.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Next-qa: Next phase of question-answering to explaining temporal actions

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T05:36:15.737268Z

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Observation 68d2ece3-1225-4022-bb25-888c3f0296f0 · outbound

This paper cites Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs

Reference 72

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Observation d77d7aba-9da5-4367-b1f5-502704668300 · outbound

This paper cites Video question answer- ing via gradually refined attention over appearance and mo- tion.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Video question answer- ing via gradually refined attention over appearance and mo- tion

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:36:16.797287Z

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Observation 17999f8c-8899-4ab5-b676-2c98cabc63c4 · outbound

This paper cites Msr-vtt: A large video description dataset for bridging video and language.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Msr-vtt: A large video description dataset for bridging video and language

Reference 74

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Observation 7af7cedc-e546-45e1-930f-9a1318550ad7 · outbound

This paper cites Pointllm: Empowering large lan- guage models to understand point clouds.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Pointllm: Empowering large lan- guage models to understand point clouds

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:36:16.774727Z

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Observation 094700cd-9f89-41d9-a81a-2f388c89175c · outbound

This paper cites Cstr vctk corpus: English multi-speaker corpus for cstr voice cloning toolkit (version 0.92).

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Cstr vctk corpus: English multi-speaker corpus for cstr voice cloning toolkit (version 0.92)

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:36:16.760808Z

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Observation a5cad0f1-76b9-4ebd-a0dd-7ac05c6960c3 · outbound

This paper cites MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Reference 77

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Observation acd1e886-8c71-4176-9c05-ff8507bccb95 · outbound

This paper cites AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T05:36:15.766361Z

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Observation 45cee82c-6fd7-4084-85f8-f5d2d5618ef3 · outbound

This paper cites Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T05:36:15.771552Z

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Observation 7611bbc7-6cac-430a-b7d1-240cca9eed78 · outbound

This paper cites Approaching outside: scaling unsupervised 3d object detec- tion from 2d scene.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Approaching outside: scaling unsupervised 3d object detec- tion from 2d scene

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:36:16.747296Z

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Observation 50519c5e-2aab-46ab-9f8b-fea6a440e93e · outbound

This paper cites Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection

Reference 81

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Observation a5cf42fd-d216-42ae-a7d1-3d8de849d069 · outbound

This paper cites VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 82

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Observation 51bd2dbd-eea2-411e-b2b7-7b3920ad1b1b · outbound

This paper cites Prompt highlighter: Interactive control for multi- modal llms.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Prompt highlighter: Interactive control for multi- modal llms

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:36:16.732868Z

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Observation bc126e85-5740-401c-b7a4-a282d1e3069e · outbound

This paper cites As a result, any fluctuation in answers of LMM directly reflects its uncertainty.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models As a result, any fluctuation in answers of LMM directly reflects its uncertainty

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:36:16.719241Z

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Observation 59e14804-32b7-419f-aa1b-2e1e6a5dc455 · outbound

This paper cites We conduct experiments with 18 benchmarks.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models We conduct experiments with 18 benchmarks

Reference 85

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Observation 2c3f1bf3-685f-42ab-8bcc-49e730a33205 · outbound

This paper cites We report the ablation of text clustering methods (see Tab.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models We report the ablation of text clustering methods (see Tab

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:36:16.687117Z

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Observation a29543ef-6ce6-4957-a66d-3b7cd3d2b15a · outbound

This paper cites Definitions and Assumptions.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Definitions and Assumptions

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:36:16.671652Z

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Observation 7c2f0cd5-22ec-45d7-8c1e-9acca061a8f3 · outbound

This paper cites For those input prompts, the predictions from the large model is yi = M (xi), and yj = M (xj), respectively.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models For those input prompts, the predictions from the large model is yi = M (xi), and yj = M (xj), respectively

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:36:16.657634Z

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Observation f4f9f391-c9db-42c5-93a9-ecf227b8ab9e · outbound

This paper cites Assume the large model parameters θ are random variables with a prior distribution P (θ).

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Assume the large model parameters θ are random variables with a prior distribution P (θ)

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:36:16.643193Z

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Observation b780146d-e00e-45f0-8537-459bcb0c434f · outbound

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Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models Unresolved cited work

Reference 90

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