Rethinking Emotion Annotations in the Era of Large Language Models | Paper Citation Record

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Rethinking Emotion Annotations in the Era of Large Language Models Unresolved cited work

Reference 1

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This paper cites Affective com- puting: Recent advances, challenges, and future trends,.

Rethinking Emotion Annotations in the Era of Large Language Models Affective com- puting: Recent advances, challenges, and future trends,

Reference 2

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This paper cites Affective computing in education: A systematic review and future research,.

Rethinking Emotion Annotations in the Era of Large Language Models Affective computing in education: A systematic review and future research,

Reference 3

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This paper cites Affective Computing for Healthcare: Recent Trends, Applications, Challenges, and Beyond.

Rethinking Emotion Annotations in the Era of Large Language Models Affective Computing for Healthcare: Recent Trends, Applications, Challenges, and Beyond

Reference 4

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Rethinking Emotion Annotations in the Era of Large Language Models Unresolved cited work

Reference 5

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This paper cites A systematic review on affective computing: Emotion models, databases, and recent advances,.

Rethinking Emotion Annotations in the Era of Large Language Models A systematic review on affective computing: Emotion models, databases, and recent advances,

Reference 6

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This paper cites Objective assessment of subjective tasks in crowd- sourcing applications,.

Rethinking Emotion Annotations in the Era of Large Language Models Objective assessment of subjective tasks in crowd- sourcing applications,

Reference 7

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This paper cites The Ambiguous World of Emotion Representation.

Rethinking Emotion Annotations in the Era of Large Language Models The Ambiguous World of Emotion Representation

Reference 8

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This paper cites Com- paring the utility of different classification schemes for emotive language analysis,.

Rethinking Emotion Annotations in the Era of Large Language Models Com- paring the utility of different classification schemes for emotive language analysis,

Reference 9

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This paper cites Muse-ing on the impact of utterance ordering on crowdsourced emotion annotations,.

Rethinking Emotion Annotations in the Era of Large Language Models Muse-ing on the impact of utterance ordering on crowdsourced emotion annotations,

Reference 10

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This paper cites Toward effective automatic recognition systems of emotion in speech,.

Rethinking Emotion Annotations in the Era of Large Language Models Toward effective automatic recognition systems of emotion in speech,

Reference 11

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This paper cites Challenges in annotation: Annotator experiences from a crowdsourced emotion annotation task.

Rethinking Emotion Annotations in the Era of Large Language Models Challenges in annotation: Annotator experiences from a crowdsourced emotion annotation task

Reference 12

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This paper cites Influence of contextual informa- tion in emotion annotation for spoken dialogue systems,.

Rethinking Emotion Annotations in the Era of Large Language Models Influence of contextual informa- tion in emotion annotation for spoken dialogue systems,

Reference 13

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Rethinking Emotion Annotations in the Era of Large Language Models Unresolved cited work

Reference 14

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This paper cites Facial expression recognition with inconsistently annotated datasets,.

Rethinking Emotion Annotations in the Era of Large Language Models Facial expression recognition with inconsistently annotated datasets,

Reference 15

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This paper cites Annotation and processing of continuous emotional attributes: Challenges and opportunities,.

Rethinking Emotion Annotations in the Era of Large Language Models Annotation and processing of continuous emotional attributes: Challenges and opportunities,

Reference 16

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This paper cites Challenges in real- life emotion annotation and machine learning based detection,.

Rethinking Emotion Annotations in the Era of Large Language Models Challenges in real- life emotion annotation and machine learning based detection,

Reference 17

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This paper cites Gender differences in nonverbal communication of emotion,.

Rethinking Emotion Annotations in the Era of Large Language Models Gender differences in nonverbal communication of emotion,

Reference 18

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This paper cites Emotion regulation and emo- tion perception in aging: A perspective on age-related differences and similarities,.

Rethinking Emotion Annotations in the Era of Large Language Models Emotion regulation and emo- tion perception in aging: A perspective on age-related differences and similarities,

Reference 19

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This paper cites Race and sex in the perception of emotion,.

Rethinking Emotion Annotations in the Era of Large Language Models Race and sex in the perception of emotion,

Reference 20

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This paper cites EmoLabel: Semi-automatic methodology for emotion annotation of social media text,.

Rethinking Emotion Annotations in the Era of Large Language Models EmoLabel: Semi-automatic methodology for emotion annotation of social media text,

Reference 21

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This paper cites Tradeoff between quality and quantity of emotional annotations to characterize expressive behaviors,.

Rethinking Emotion Annotations in the Era of Large Language Models Tradeoff between quality and quantity of emotional annotations to characterize expressive behaviors,

Reference 22

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This paper cites Large Language Models for Data Annotation and Synthesis: A Survey.

Rethinking Emotion Annotations in the Era of Large Language Models Large Language Models for Data Annotation and Synthesis: A Survey

Reference 23

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This paper cites ChatGPT outperforms crowd workers for text-annotation tasks,.

Rethinking Emotion Annotations in the Era of Large Language Models ChatGPT outperforms crowd workers for text-annotation tasks,

Reference 24

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This paper cites Affect recognition in conversations using large language models,.

Rethinking Emotion Annotations in the Era of Large Language Models Affect recognition in conversations using large language models,

Reference 25

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This paper cites Bias in emotion recognition with ChatGPT,.

Rethinking Emotion Annotations in the Era of Large Language Models Bias in emotion recognition with ChatGPT,

Reference 26

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This paper cites Can Large Language Models Aid in Annotating Speech Emotional Data? Uncovering New Frontiers.

Rethinking Emotion Annotations in the Era of Large Language Models Can Large Language Models Aid in Annotating Speech Emotional Data? Uncovering New Frontiers

Reference 27

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This paper cites Refashioning emotion recognition modelling: The advent of gen- eralised large models,.

Rethinking Emotion Annotations in the Era of Large Language Models Refashioning emotion recognition modelling: The advent of gen- eralised large models,

Reference 28

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This paper cites Sentiment analysis in the era of large language models: A reality check,.

Rethinking Emotion Annotations in the Era of Large Language Models Sentiment analysis in the era of large language models: A reality check,

Reference 29

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This paper cites From text to emotion: Unveiling the emotion annotation capabilities of llms,.

Rethinking Emotion Annotations in the Era of Large Language Models From text to emotion: Unveiling the emotion annotation capabilities of llms,

Reference 30

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This paper cites Towards the improvement of automatic emotion pre-annotation with polarity and subjective information,.

Rethinking Emotion Annotations in the Era of Large Language Models Towards the improvement of automatic emotion pre-annotation with polarity and subjective information,

Reference 31

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This paper cites An argument for basic emotions,.

Rethinking Emotion Annotations in the Era of Large Language Models An argument for basic emotions,

Reference 32

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This paper cites A circumplex model of affect.

Rethinking Emotion Annotations in the Era of Large Language Models A circumplex model of affect

Reference 33

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This paper cites Emobank: Studying the impact of annotation perspective and representation format on dimensional emotion analysis,.

Rethinking Emotion Annotations in the Era of Large Language Models Emobank: Studying the impact of annotation perspective and representation format on dimensional emotion analysis,

Reference 34

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This paper cites Dailydialog: A manually labelled multi-turn dialogue dataset,.

Rethinking Emotion Annotations in the Era of Large Language Models Dailydialog: A manually labelled multi-turn dialogue dataset,

Reference 35

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This paper cites How universal and specific is emotional experience? evidence from 27 countries on five conti- nents,.

Rethinking Emotion Annotations in the Era of Large Language Models How universal and specific is emotional experience? evidence from 27 countries on five conti- nents,

Reference 36

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This paper cites SemEval-2018 task 1: Affect in tweets,.

Rethinking Emotion Annotations in the Era of Large Language Models SemEval-2018 task 1: Affect in tweets,

Reference 37

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This paper cites Goemotions: A dataset of fine-grained emotions,.

Rethinking Emotion Annotations in the Era of Large Language Models Goemotions: A dataset of fine-grained emotions,

Reference 38

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This paper cites Man is to computer programmer as woman is to homemaker? debiasing word embeddings,.

Rethinking Emotion Annotations in the Era of Large Language Models Man is to computer programmer as woman is to homemaker? debiasing word embeddings,

Reference 39

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This paper cites Beyond the turk: Alternative platforms for crowdsourcing behavioral re- search,.

Rethinking Emotion Annotations in the Era of Large Language Models Beyond the turk: Alternative platforms for crowdsourcing behavioral re- search,

Reference 40

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This paper cites Increasing the reliability of crowdsourcing evaluations using online quality as- sessment,.

Rethinking Emotion Annotations in the Era of Large Language Models Increasing the reliability of crowdsourcing evaluations using online quality as- sessment,

Reference 41

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This paper cites Scaling Laws for Neural Language Models.

Rethinking Emotion Annotations in the Era of Large Language Models Scaling Laws for Neural Language Models

Reference 42

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This paper cites Emotional intelligence of large language models,.

Rethinking Emotion Annotations in the Era of Large Language Models Emotional intelligence of large language models,

Reference 43

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Rethinking Emotion Annotations in the Era of Large Language Models Is ChatGPT Equipped with Emotional Dialogue Capabilities?

Reference 44

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This paper cites Is GPT a computational model of emo- tion?.

Rethinking Emotion Annotations in the Era of Large Language Models Is GPT a computational model of emo- tion?

Reference 45

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This paper cites Emotionally Numb or Empathetic? Evaluating How LLMs Feel Using EmotionBench.

Rethinking Emotion Annotations in the Era of Large Language Models Emotionally Numb or Empathetic? Evaluating How LLMs Feel Using EmotionBench

Reference 46

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This paper cites The biases of pre- trained language models: An empirical study on prompt-based sentiment analysis and emotion detection,.

Rethinking Emotion Annotations in the Era of Large Language Models The biases of pre- trained language models: An empirical study on prompt-based sentiment analysis and emotion detection,

Reference 47

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This paper cites GPT-4 Emulates Average-Human Emotional Cognition from a Third-Person Perspective.

Rethinking Emotion Annotations in the Era of Large Language Models GPT-4 Emulates Average-Human Emotional Cognition from a Third-Person Perspective

Reference 48

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This paper cites Is gpt-3 a good data annotator?.

Rethinking Emotion Annotations in the Era of Large Language Models Is gpt-3 a good data annotator?

Reference 49

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This paper cites Foundation model assisted automatic speech emotion recognition: Transcribing, annotating, and aug- menting,.

Rethinking Emotion Annotations in the Era of Large Language Models Foundation model assisted automatic speech emotion recognition: Transcribing, annotating, and aug- menting,

Reference 50

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This paper cites Quantifying the Persona Effect in LLM Simulations.

Rethinking Emotion Annotations in the Era of Large Language Models Quantifying the Persona Effect in LLM Simulations

Reference 51

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This paper cites Potato: The portable text annotation tool,.

Rethinking Emotion Annotations in the Era of Large Language Models Potato: The portable text annotation tool,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:31:20.648281Z

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Observation 5e78a7fd-2651-4684-99c0-bc056bc8e57a · outbound

This paper cites Choice overload: A conceptual review and meta-analysis,.

Rethinking Emotion Annotations in the Era of Large Language Models Choice overload: A conceptual review and meta-analysis,

Reference 53

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Observation 35c5164e-ce3f-4122-af03-6ec999afa373 · outbound

This paper cites The development and psychometric properties of LIWC2015,.

Rethinking Emotion Annotations in the Era of Large Language Models The development and psychometric properties of LIWC2015,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:31:20.615915Z

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Observation 230d0dbd-e630-4ddd-937a-602555506876 · outbound

This paper cites Incorporating LIWC in neural networks to improve human trait and behavior analysis in low resource scenarios,.

Rethinking Emotion Annotations in the Era of Large Language Models Incorporating LIWC in neural networks to improve human trait and behavior analysis in low resource scenarios,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:31:20.598578Z

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Observation b7084144-8903-4467-87e9-90e0a444a3b3 · outbound

This paper cites A multi-layered psychological- based reference model for citizen need assessment using ai- powered models,.

Rethinking Emotion Annotations in the Era of Large Language Models A multi-layered psychological- based reference model for citizen need assessment using ai- powered models,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:31:20.580357Z

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

Observation b65d8a06-3b68-4f7e-a7ec-2ffd369d5bb9 · outbound

This paper cites Detecting fake news spreaders with behavioural, lexical and psycholinguistic features.

Rethinking Emotion Annotations in the Era of Large Language Models Detecting fake news spreaders with behavioural, lexical and psycholinguistic features

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:31:20.562495Z

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Observation 9191ee72-12cf-46ec-8b6a-7c0cc8d00952 · outbound

This paper cites Common pitfalls in statistical analysis: logistic regression,.

Rethinking Emotion Annotations in the Era of Large Language Models Common pitfalls in statistical analysis: logistic regression,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:31:20.545759Z

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Observation 47293d90-b7b2-4877-9aac-faaa4aa22773 · outbound

This paper cites TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models.

Rethinking Emotion Annotations in the Era of Large Language Models TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models

Reference 59

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Observation 7a100041-713e-4b3f-9f9a-16896fad1355 · outbound

This paper cites Do llms understand social knowledge? evaluating the sociability of large language models with socket benchmark,.

Rethinking Emotion Annotations in the Era of Large Language Models Do llms understand social knowledge? evaluating the sociability of large language models with socket benchmark,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:31:20.529191Z

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Observation ec987b69-7a80-4803-b919-79e9641ec09a · outbound

This paper cites Exploring the sensitivity of llms’ decision-making capabilities: Insights from prompt vari- ations and hyperparameters,.

Rethinking Emotion Annotations in the Era of Large Language Models Exploring the sensitivity of llms’ decision-making capabilities: Insights from prompt vari- ations and hyperparameters,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:31:20.512186Z

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Observation d62bad6c-f589-49ff-a8ab-e5bc558ba3a1 · outbound

This paper cites Nasa-task load index (nasa-tlx); 20 years later,.

Rethinking Emotion Annotations in the Era of Large Language Models Nasa-task load index (nasa-tlx); 20 years later,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T18:31:19.952674Z

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Observation 19cd0db8-27c3-4f6c-8643-4637c697ed89 · outbound

This paper cites A comparison of emotion annotation approaches for text,.

Rethinking Emotion Annotations in the Era of Large Language Models A comparison of emotion annotation approaches for text,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:31:20.485310Z

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Observation 8fe7b99c-4b4a-4133-82d3-b6b0856d2300 · outbound

This paper cites Development of nasa-tlx (task load index): Results of em- pirical and theoretical research,.

Rethinking Emotion Annotations in the Era of Large Language Models Development of nasa-tlx (task load index): Results of em- pirical and theoretical research,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:31:20.466367Z

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Observation d8a92a2a-1602-4f3e-8c91-78a1c455be3e · outbound

This paper cites The distribution of the flora in the alpine zone. 1,.

Rethinking Emotion Annotations in the Era of Large Language Models The distribution of the flora in the alpine zone. 1,

Reference 65

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Observation 8055b780-6ae7-4dba-863d-83047eeb6a19 · outbound

This paper cites How reliable are annotations via crowd- sourcing: a study about inter-annotator agreement for multi-label image annotation,.

Rethinking Emotion Annotations in the Era of Large Language Models How reliable are annotations via crowd- sourcing: a study about inter-annotator agreement for multi-label image annotation,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:31:20.435860Z

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Observation b1af57ce-b319-428c-b4b8-d94077b3f992 · outbound

This paper cites Bert: Pre- training of deep bidirectional transformers for language under- standing,.

Rethinking Emotion Annotations in the Era of Large Language Models Bert: Pre- training of deep bidirectional transformers for language under- standing,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:31:20.416668Z

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Observation ca268cc2-966d-4ef0-8f69-ce255e4c3254 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Rethinking Emotion Annotations in the Era of Large Language Models DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T18:31:19.981043Z

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Observation 0db6b164-5882-474b-b2fe-487414daf81a · outbound

This paper cites BERT: A Review of Applications in Natural Language Processing and Understanding.

Rethinking Emotion Annotations in the Era of Large Language Models BERT: A Review of Applications in Natural Language Processing and Understanding

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-11T18:31:19.986400Z

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Observation 46130736-b6eb-4d14-bcf8-9e6e6b12d10c · outbound

This paper cites Joint audio and speech understanding,.

Rethinking Emotion Annotations in the Era of Large Language Models Joint audio and speech understanding,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:31:20.399239Z

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Observation 50e1e942-b3e0-4317-a29a-a9a814c8a438 · outbound

This paper cites Emotion analysis as a regression problem–dimensional models and their implications on emotion representation and metrical evaluation,.

Rethinking Emotion Annotations in the Era of Large Language Models Emotion analysis as a regression problem–dimensional models and their implications on emotion representation and metrical evaluation,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:31:20.381937Z

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Observation c76dbd0d-fd7d-4fce-9d4d-73b1b8a3c189 · outbound

This paper cites Tracing vocal expression of emotion along the speech chain: Do listeners perceive what speakers feel?.

Rethinking Emotion Annotations in the Era of Large Language Models Tracing vocal expression of emotion along the speech chain: Do listeners perceive what speakers feel?

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:31:20.360818Z

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Observation 3708f886-ebaf-4673-8a9d-44fcc59fb4e8 · outbound

This paper cites The expression and perception of emotions: comparing assessments of self versus others.

Rethinking Emotion Annotations in the Era of Large Language Models The expression and perception of emotions: comparing assessments of self versus others

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:31:20.341167Z

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Observation 86a85ed6-2fa1-4fe9-915e-90fc207ff95d · outbound

This paper cites Label quality in affectnet: results of crowd-based re-annotation,.

Rethinking Emotion Annotations in the Era of Large Language Models Label quality in affectnet: results of crowd-based re-annotation,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:31:20.324112Z

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Observation 1640c192-afd0-42c9-8fd6-bb07b59e6f5c · outbound

This paper cites Pre- train, prompt, and predict: A systematic survey of prompting methods in natural language processing,.

Rethinking Emotion Annotations in the Era of Large Language Models Pre- train, prompt, and predict: A systematic survey of prompting methods in natural language processing,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:31:20.306717Z

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Observation 6a3e89c3-e99b-49eb-851e-37e1ffede6ce · outbound

This paper cites Using cognitive psychology to understand gpt-3,.

Rethinking Emotion Annotations in the Era of Large Language Models Using cognitive psychology to understand gpt-3,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:31:20.289421Z

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Observation a0495277-5c88-4d08-951c-00057c81806f · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Rethinking Emotion Annotations in the Era of Large Language Models Chain-of-thought prompting elicits reasoning in large language models,

Reference 77

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