EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models | Paper Citation Record

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This paper cites Phi-4 Technical Report.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Phi-4 Technical Report

Reference 1

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This paper cites Multimodal emotion recognition using deep learning.Journal of Applied Science and Technology Trends, 2(01):73–79, 2021.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Multimodal emotion recognition using deep learning.Journal of Applied Science and Technology Trends, 2(01):73–79, 2021

Reference 2

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This paper cites GPT-4 Technical Report.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models GPT-4 Technical Report

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This paper cites Flamingo: a visual language model for few-shot learning.Advances in Neural Information Processing Systems, 35:23716–23736, 2022.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Flamingo: a visual language model for few-shot learning.Advances in Neural Information Processing Systems, 35:23716–23736, 2022

Reference 4

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This paper cites Qwen Technical Report.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Qwen Technical Report

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This paper cites Qwen2.5-VL Technical Report.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Qwen2.5-VL Technical Report

Reference 6

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

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Hallucination of Multimodal Large Language Models: A Survey

Reference 7

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EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Unresolved cited work

Reference 8

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This paper cites The cost of selective atten- tion in category learning: Developmental differences between adults and infants.Journal of Experimental Child Psychology, 116(2):105–119, 2013.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models The cost of selective atten- tion in category learning: Developmental differences between adults and infants.Journal of Experimental Child Psychology, 116(2):105–119, 2013

Reference 9

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Observation fdcf92c7-46ae-444d-93b3-5a0223beb87a · outbound

This paper cites The james-lange theory of emotions: A critical examination and an alternative theory.The American Journal of Psychology, 39(1/4):106–124, 1927.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models The james-lange theory of emotions: A critical examination and an alternative theory.The American Journal of Psychology, 39(1/4):106–124, 1927

Reference 10

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Observation c87f6f3d-8212-4f31-b75f-b4d1ea8fa3e4 · outbound

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

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Unified Hallucination Detection for Multimodal Large Language Models

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This paper cites Emotion-llama: Multimodal emotion recognition and reason- ing with instruction tuning.Advances in Neural Information Processing Systems, 37:110805– 110853, 2024.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Emotion-llama: Multimodal emotion recognition and reason- ing with instruction tuning.Advances in Neural Information Processing Systems, 37:110805– 110853, 2024

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This paper cites Qwen2-Audio Technical Report.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Qwen2-Audio Technical Report

Reference 13

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This paper cites Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

Reference 14

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This paper cites SOUL: Towards Sentiment and Opinion Understanding of Language.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models SOUL: Towards Sentiment and Opinion Understanding of Language

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This paper cites Kimi-Audio Technical Report.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Kimi-Audio Technical Report

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This paper cites Human emotion recognition: Review of sensors and methods.Sensors, 20(3):592, 2020.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Human emotion recognition: Review of sensors and methods.Sensors, 20(3):592, 2020

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This paper cites Survey on speech emotion recognition: Features, classification schemes, and databases.Pattern Recognition, 44(3):572–587, 2011.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Survey on speech emotion recognition: Features, classification schemes, and databases.Pattern Recognition, 44(3):572–587, 2011

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This paper cites Emotion recognition from unimodal to multimodal analysis: A review.Information Fusion, page 101847, 2023.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Emotion recognition from unimodal to multimodal analysis: A review.Information Fusion, page 101847, 2023

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This paper cites Controlled Hallucinations: Learning to Generate Faithfully from Noisy Data.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Controlled Hallucinations: Learning to Generate Faithfully from Noisy Data

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This paper cites Gemini: Our most capable model, getting better with thinking and coding.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Gemini: Our most capable model, getting better with thinking and coding

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Observation 7cb54c77-fbbc-42bb-9cd1-73001c1cb7ff · outbound

This paper cites The Llama 3 Herd of Models.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models The Llama 3 Herd of Models

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This paper cites Hallusionbench: an advanced diagnostic suite for entangled language hallucination and visual illusion in large vision-language models.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Hallusionbench: an advanced diagnostic suite for entangled language hallucination and visual illusion in large vision-language models

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This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

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Observation f3268f0c-1c1e-4241-b21c-493e0528522b · outbound

This paper cites Emotion analy- sis: A survey.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Emotion analy- sis: A survey

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

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Onellm: One framework to align all modalities with language

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This paper cites A cross-cultural study on emotion expression and the learning of social norms.Frontiers in Psychology, 6:1501, 2015.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models A cross-cultural study on emotion expression and the learning of social norms.Frontiers in Psychology, 6:1501, 2015

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This paper cites GPT-4o System Card.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models GPT-4o System Card

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This paper cites Survey of hallucination in natural language generation.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Survey of hallucination in natural language generation

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EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Unresolved cited work

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Observation d2e17b7d-8b7b-41cd-bc27-3da8a7db9494 · outbound

This paper cites Mixtral of Experts.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Mixtral of Experts

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This paper cites Chat-univi: Unified visual representation empowers large language models with image and video understanding.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Chat-univi: Unified visual representation empowers large language models with image and video understanding

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This paper cites Individualism and collectivism.Handbook of Cross-cultural Psychology, 3:1–49, 1997.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Individualism and collectivism.Handbook of Cross-cultural Psychology, 3:1–49, 1997

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This paper cites Deap: A database for emotion analysis; using physiological signals.IEEE Transactions on Affective Computing, 3(1):18–31, 2011.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Deap: A database for emotion analysis; using physiological signals.IEEE Transactions on Affective Computing, 3(1):18–31, 2011

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Observation f4c7b904-cca9-4471-9534-758fec0c6d50 · outbound

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EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models A text-driven rule-based system for emotion cause detection

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This paper cites Bridging emotion theory and neurobiology through dynamic systems modeling.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Bridging emotion theory and neurobiology through dynamic systems modeling

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This paper cites EALD-MLLM: Emotion Analysis in Long-sequential and De-identity videos with Multi-modal Large Language Model.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models EALD-MLLM: Emotion Analysis in Long-sequential and De-identity videos with Multi-modal Large Language Model

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This paper cites Deemo: De-identity multimodal emotion recognition and reasoning.arXiv preprint arXiv:2504.19549, 2025.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Deemo: De-identity multimodal emotion recognition and reasoning.arXiv preprint arXiv:2504.19549, 2025

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

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

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This paper cites Deep facial expression recognition: A survey.IEEE Transactions on Affective Computing, 13(3):1195–1215, 2020.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Deep facial expression recognition: A survey.IEEE Transactions on Affective Computing, 13(3):1195–1215, 2020

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This paper cites Llama-vid: An image is worth 2 tokens in large language models.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Llama-vid: An image is worth 2 tokens in large language models

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EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Evaluating Object Hallucination in Large Vision-Language Models

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This paper cites AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models

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This paper cites Mer 2023: Multi-label learning, modality robustness, and semi- supervised learning.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Mer 2023: Multi-label learning, modality robustness, and semi- supervised learning

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Observation 5bbce74f-8cae-4618-9d2a-05d14106cae8 · outbound

This paper cites OV-MER: Towards Open-Vocabulary Multimodal Emotion Recognition.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models OV-MER: Towards Open-Vocabulary Multimodal Emotion Recognition

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This paper cites Explainable Multimodal Emotion Recognition.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Explainable Multimodal Emotion Recognition

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EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

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This paper cites Rouge: A package for automatic evaluation of summaries.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Rouge: A package for automatic evaluation of summaries

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Observation 12a3da7e-8892-440a-be61-78982ff3b5ed · outbound

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EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models DeepSeek-V3 Technical Report

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This paper cites Visual instruction tuning.Advances in Neural Information Processing Systems, 36:34892–34916, 2023.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Visual instruction tuning.Advances in Neural Information Processing Systems, 36:34892–34916, 2023

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This paper cites Phd: A prompted visual hallucination evaluation dataset.arXiv e-prints, pages arXiv–2403, 2024.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Phd: A prompted visual hallucination evaluation dataset.arXiv e-prints, pages arXiv–2403, 2024

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This paper cites imigue: An identity-free video dataset for micro-gesture understanding and emotion analysis.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models imigue: An identity-free video dataset for micro-gesture understanding and emotion analysis

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EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Unresolved cited work

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EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

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Observation 194bbd9a-7351-4234-bf22-8044fc98ba65 · outbound

This paper cites On Faithfulness and Factuality in Abstractive Summarization.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models On Faithfulness and Factuality in Abstractive Summarization

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Resolution: unresolved; no resolver link, observed 2026-08-15T20:58:09.585857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33833bb6-d046-4bbe-ad96-43dfc2c05956 · outbound

This paper cites Introducing mistral-3.1: our new small model.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Introducing mistral-3.1: our new small model

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:10.577940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2193d81f-0c57-45ea-a8fd-a0bc100647d1 · outbound

This paper cites A review on sentiment analysis and emotion detection from text.Social Network Analysis and Mining, 11(1):81, 2021.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models A review on sentiment analysis and emotion detection from text.Social Network Analysis and Mining, 11(1):81, 2021

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:10.568247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a6be3d18-cbc6-487f-bf04-a53fc05c3f28 · outbound

This paper cites Psychology Press, 2017.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Psychology Press, 2017

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:10.556342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b2c295fd-ae6b-4f63-b444-e14734f055dd · outbound

This paper cites Gpt-4 turbo and the next frontier of intelligence.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Gpt-4 turbo and the next frontier of intelligence

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:10.544569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 29b56a48-d09e-4339-b9c9-fa54e042b4b0 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Bleu: a method for automatic evaluation of machine translation

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:10.534009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 096b9a4d-f726-410d-ba89-b05462c320a5 · outbound

This paper cites Red Teaming Language Models with Language Models.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Red Teaming Language Models with Language Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T20:58:09.607097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91877e71-9089-4f5d-b490-d109f075ccc3 · outbound

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

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models ALOHa: A New Measure for Hallucination in Captioning Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T20:58:09.610899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f25dc7e-0a27-44d5-b75d-847716f3733d · outbound

This paper cites Qwen 3: A family of scalable language models.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Qwen 3: A family of scalable language models

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:10.522880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 22f5922a-89a9-416d-a034-e8f7421a0287 · outbound

This paper cites Preview of qwen-vl-72b: Advancing multimodal understanding.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Preview of qwen-vl-72b: Advancing multimodal understanding

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:10.512319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1323a849-22a8-4cce-8591-1a30b22598de · outbound

This paper cites A multimodal emotion recognition system using facial landmark analysis.Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 43:171–189, 2019.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models A multimodal emotion recognition system using facial landmark analysis.Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 43:171–189, 2019

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:10.501418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a9f938dc-aa13-4459-a30f-6b1bc6b236e1 · outbound

This paper cites Object Hallucination in Image Captioning.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Object Hallucination in Image Captioning

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T20:58:09.625351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 914e0d95-bfe8-41e0-8ae1-1c42de18a085 · outbound

This paper cites A circumplex model of affect.Journal of Personality and Social Psychology, 39(6):1161, 1980.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models A circumplex model of affect.Journal of Personality and Social Psychology, 39(6):1161, 1980

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T20:58:09.628974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e192fb2e-e770-45d9-9d8c-4ca437154b92 · outbound

This paper cites The dynamic architecture of emotion: Evidence for the component process model.Cognition and Emotion, 23(7):1307–1351, 2009.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models The dynamic architecture of emotion: Evidence for the component process model.Cognition and Emotion, 23(7):1307–1351, 2009

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:10.484590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4041eb6c-800c-4776-84f0-f10a7828fbf4 · outbound

This paper cites Shiota and James W.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Shiota and James W

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:10.473269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dd13d2d1-fd08-434b-a78f-19f8dc7f5e17 · outbound

This paper cites Dimensions of appraisal and physiological response in emotion.Journal of personality and social psychology, 56(3):339, 1989.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Dimensions of appraisal and physiological response in emotion.Journal of personality and social psychology, 56(3):339, 1989

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:10.462865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f1492357-b6a8-47b0-baab-93bd6f1b70d6 · outbound

This paper cites Aligning Large Multimodal Models with Factually Augmented RLHF.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Aligning Large Multimodal Models with Factually Augmented RLHF

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T20:58:09.642525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9f36a55-4e83-4b56-9f4b-fe3e4c1e54a7 · outbound

This paper cites Gemma 3 Technical Report.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Gemma 3 Technical Report

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-15T20:58:09.645758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf92c80c-c258-4224-b3ea-3e2b112341c0 · outbound

This paper cites Qwq-32b: Embracing the power of reinforcement learning, March 2025.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Qwq-32b: Embracing the power of reinforcement learning, March 2025

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-15T20:58:09.648992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1460e72-1461-46b5-b32e-fff26ea916a0 · outbound

This paper cites A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text Systems.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text Systems

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:58:09.936144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 08e04254-bc91-493d-bf9a-3767dedf35c1 · outbound

This paper cites Eyes wide shut? exploring the visual shortcomings of multimodal llms.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Eyes wide shut? exploring the visual shortcomings of multimodal llms

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-15T20:58:09.655969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70d0e337-0ca7-4b99-bcc8-22f7a2309f8b · outbound

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

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-15T20:58:09.659379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b63fc194-577c-43fc-b3b5-8d6e78ddd25f · outbound

This paper cites VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-15T20:58:09.662701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6991cfea-ea23-4cb0-8ace-64751a5dcd4b · outbound

This paper cites A comprehensive review of speech emotion recognition systems.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models A comprehensive review of speech emotion recognition systems

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:10.438796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8d994ce7-4280-44be-87b8-e49a44ee1ebb · outbound

This paper cites A survey on sentiment analysis methods, applications, and challenges.Artificial Intelligence Review, 55(7):5731–5780, 2022.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models A survey on sentiment analysis methods, applications, and challenges.Artificial Intelligence Review, 55(7):5731–5780, 2022

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:10.427997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6c6cf2f1-f6be-42a9-9c0e-682ecafdc136 · outbound

This paper cites Wilf and collaborators.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Wilf and collaborators

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:10.416956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2528b91f-7bc4-44ea-9751-e32fa90c3851 · outbound

This paper cites EMO-LLaMA: Enhancing Facial Emotion Understanding with Instruction Tuning.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models EMO-LLaMA: Enhancing Facial Emotion Understanding with Instruction Tuning

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-15T20:58:09.676122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30ee03f5-22c3-4de1-8532-52ba249ca34d · outbound

This paper cites Qwen2.5-Omni Technical Report.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Qwen2.5-Omni Technical Report

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-15T20:58:09.680062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 041dc7c7-91ad-4fdc-b4f3-c36db8bd8ce3 · outbound

This paper cites Qwen2 technical report.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Qwen2 technical report

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:10.407054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e5828685-d08e-4062-a195-d0b4c2dd2aaf · outbound

This paper cites Qwen2.5 Technical Report.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Qwen2.5 Technical Report

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-15T20:58:09.687137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5191f8cd-394d-4ac5-a505-a52cc6b0c656 · outbound

This paper cites Omni-Emotion: Extending Video MLLM with Detailed Face and Audio Modeling for Multimodal Emotion Analysis.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Omni-Emotion: Extending Video MLLM with Detailed Face and Audio Modeling for Multimodal Emotion Analysis

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-15T20:58:09.690473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fac83c38-9061-4e90-b41a-38a9ab9ffd73 · outbound

This paper cites Woodpecker: Hallucination correction for multimodal large language models.Science China Information Sciences, 67(12):220105, 2024.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Woodpecker: Hallucination correction for multimodal large language models.Science China Information Sciences, 67(12):220105, 2024

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-15T20:58:09.694335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63b5f205-eabe-4619-8bc8-27a442d44790 · outbound

This paper cites Social- iq: A question answering benchmark for artificial social intelligence.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Social- iq: A question answering benchmark for artificial social intelligence

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-15T20:58:09.697757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55488873-88a5-4719-b31b-f302b9934eda · outbound

This paper cites Tensor Fusion Network for Multimodal Sentiment Analysis.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Tensor Fusion Network for Multimodal Sentiment Analysis

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-15T20:58:09.700995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation beeae131-beb6-44c3-a806-38f751d99351 · outbound

This paper cites The neuroscience of empathy: progress, pitfalls and promise.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models The neuroscience of empathy: progress, pitfalls and promise

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:10.384795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 88a5f4d3-3cfd-4424-8b35-4cb37c36d137 · outbound

This paper cites Development of emotional intelligence: Towards a multi-level investment model.Human Development, 46(2-3):69–96, 2003.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Development of emotional intelligence: Towards a multi-level investment model.Human Development, 46(2-3):69–96, 2003

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:10.374006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4eaf3dc3-f8e3-4f0a-8d01-0045367d1dde · outbound

This paper cites Eventhallusion: Diagnosing event hallucinations in video llms.arXiv preprint arXiv:2409.16597, 2024.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Eventhallusion: Diagnosing event hallucinations in video llms.arXiv preprint arXiv:2409.16597, 2024

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-15T20:58:09.711092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 813242d8-ed6f-4010-ac86-120e8d9be924 · outbound

This paper cites How Language Model Hallucinations Can Snowball.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models How Language Model Hallucinations Can Snowball

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-15T20:58:09.714257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e34b17c-7ed9-41bf-a34a-e12996e9d963 · outbound

This paper cites Adaptive co-attention network for named entity recognition in tweets.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Adaptive co-attention network for named entity recognition in tweets

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:10.364161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c80da5ba-7730-4958-b7cc-c1d6154c17e4 · outbound

This paper cites DialogueLLM: Context and Emotion Knowledge-Tuned Large Language Models for Emotion Recognition in Conversations.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models DialogueLLM: Context and Emotion Knowledge-Tuned Large Language Models for Emotion Recognition in Conversations

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-15T20:58:09.721220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43ca2f3b-446a-43b2-93ba-6b0096ddbe0d · outbound

This paper cites Affective image content analysis: Two decades review and new perspectives.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(10):6729– 6751, 2021.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Affective image content analysis: Two decades review and new perspectives.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(10):6729– 6751, 2021

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:10.352578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eb300b9a-d25f-4d08-ada6-5c92f3c22f10 · outbound

This paper cites According to [Theory Name].

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models According to [Theory Name]

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:10.342462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 81b9b78d-199b-473e-ad25-8801d34dc89a · outbound

This paper cites • Identify contextual elements in the environment (e.g., indoor/outdoor, weather, time of day, symbolic objects like candles, rain, broken glass).

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models • Identify contextual elements in the environment (e.g., indoor/outdoor, weather, time of day, symbolic objects like candles, rain, broken glass)

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:10.332659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c9d56697-63c2-4f0e-b3c3-8f2e80de9ffa · outbound

This paper cites I’m scared,.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models I’m scared,

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:10.321286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b76e5f29-d383-449d-b8a2-fe4ea82a15d5 · outbound

This paper cites an unresolved cited work.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models Unresolved cited work

Reference 99

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:58:10.310511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 52d5a5c8-68e5-477b-a730-9b466c3a6d81 · outbound

This paper cites intense grief).

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models intense grief)

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:58:10.299370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers