CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection | Paper Citation Record

Observation 112e890a-1c7e-4efd-a0b6-985fdadeff6d · outbound

This paper cites Sarcasm de- tection in the era of ai: A systematic review of techniques, datasets, performance, and future outlook,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Sarcasm de- tection in the era of ai: A systematic review of techniques, datasets, performance, and future outlook,

Reference 1

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Observation 10f58051-a2cc-48e3-9833-7367d5ff27c6 · outbound

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CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Unresolved cited work

Reference 2

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Observation b68bcea7-e9f4-4ced-b1e3-d270c044b749 · outbound

This paper cites Towards friendly ai: A comprehensive review and new perspectives on human-ai alignment,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Towards friendly ai: A comprehensive review and new perspectives on human-ai alignment,

Reference 3

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Observation a8edc2cf-f76f-4305-bb2d-4ff1b9fcec3a · outbound

This paper cites The muse 2024 multimodal sentiment analysis challenge: Social perception and humor recognition,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection The muse 2024 multimodal sentiment analysis challenge: Social perception and humor recognition,

Reference 4

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Observation 5017a156-4ddb-441c-a4c4-8280ce0b00a5 · outbound

This paper cites GatedxLSTM: A Multimodal Affective Computing Approach for Emotion Recognition in Conversations.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection GatedxLSTM: A Multimodal Affective Computing Approach for Emotion Recognition in Conversations

Reference 5

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Observation c82ed9e4-eddb-47a9-a629-7fe23ede8c03 · outbound

This paper cites Spoken in jest, detected in earnest: A systematic review of sarcasm recognition-multimodal fusion, challenges, and future prospects,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Spoken in jest, detected in earnest: A systematic review of sarcasm recognition-multimodal fusion, challenges, and future prospects,

Reference 6

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Observation 9fe190bb-8107-4f2d-a97b-23500f9f4ef7 · outbound

This paper cites Enhancing sarcasm detection in sentiment analysis for cyberspace safety using advanced deep learning techniques,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Enhancing sarcasm detection in sentiment analysis for cyberspace safety using advanced deep learning techniques,

Reference 7

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Observation 707391cc-ba5f-4edb-a79a-af507b531acb · outbound

This paper cites Is llama 3 good at sarcasm detection? a comprehensive study,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Is llama 3 good at sarcasm detection? a comprehensive study,

Reference 8

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Observation 49d972e3-6bec-4561-9362-9a7a94665ae6 · outbound

This paper cites Refashioning emotion recognition modeling: the advent of generalized large models,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Refashioning emotion recognition modeling: the advent of generalized large models,

Reference 9

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Observation 4d4bae5d-99a0-4201-8c5b-46326dce1f42 · outbound

This paper cites Affective computing in the era of large language models: A survey from the nlp perspective,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Affective computing in the era of large language models: A survey from the nlp perspective,

Reference 10

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Observation 7721bfee-6d37-41d5-a415-3d549b9ea5b5 · outbound

This paper cites Discovering language model behaviors with model-written evaluations,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Discovering language model behaviors with model-written evaluations,

Reference 11

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Observation 3bb077a4-ce02-477e-99f1-61283c7aaf2b · outbound

This paper cites Towards understanding sycophancy in language models,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Towards understanding sycophancy in language models,

Reference 12

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Observation 1bed2ae9-f44e-4e22-b028-12003723a720 · outbound

This paper cites Sarcasmbench: Towards evaluating large language models on sarcasm understanding,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Sarcasmbench: Towards evaluating large language models on sarcasm understanding,

Reference 13

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Observation 9716c8f0-50e2-4e0e-9cee-c6ae2834e56a · outbound

This paper cites Leveraging generative large language models with visual instruction and demonstration retrieval for multimodal sarcasm detection,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Leveraging generative large language models with visual instruction and demonstration retrieval for multimodal sarcasm detection,

Reference 14

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Observation 3c3af694-e0a9-44c3-9d19-5bfedff78ace · outbound

This paper cites Calibrate before use: Improving few-shot performance of language models,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Calibrate before use: Improving few-shot performance of language models,

Reference 15

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Observation 86ab7f6b-9250-4360-8539-eb07ef4024d1 · outbound

This paper cites Language models don’t always say what they think: Unfaithful explanations in chain- of-thought prompting,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Language models don’t always say what they think: Unfaithful explanations in chain- of-thought prompting,

Reference 16

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Observation e6dbe58c-e70f-4277-b163-ad28fd4a296d · outbound

This paper cites Is sarcasm detection a step-by- step reasoning process in large language models?.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Is sarcasm detection a step-by- step reasoning process in large language models?

Reference 17

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Observation d5b44a30-83ef-461c-9de9-4885e1adf68d · outbound

This paper cites Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 18

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Observation c43a44fe-7e6e-4be6-8ea5-eb4faddbb21e · outbound

This paper cites Towards holistic evaluation of large audio-language models: A comprehensive survey,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Towards holistic evaluation of large audio-language models: A comprehensive survey,

Reference 19

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Observation cfac9e8c-e9b8-45b2-8f74-d928c529268e · outbound

This paper cites Robust speech recognition via large-scale weak supervi- sion,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Robust speech recognition via large-scale weak supervi- sion,

Reference 20

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Observation dfeeeef9-e409-4cd1-a909-b9db8351397a · outbound

This paper cites Qwen2.5-Omni Technical Report.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Qwen2.5-Omni Technical Report

Reference 21

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Observation 3743324e-f58d-479e-9d1f-e5a99017c5e8 · outbound

This paper cites When Language Overrules: Revealing Text Dominance in Multimodal Large Language Models.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection When Language Overrules: Revealing Text Dominance in Multimodal Large Language Models

Reference 22

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Observation 78325e5c-d441-4171-ba4c-b955b76fb338 · outbound

This paper cites Rethinking Explainability in the Era of Multimodal AI.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Rethinking Explainability in the Era of Multimodal AI

Reference 23

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This paper cites Do audio llms really listen, or just transcribe? measuring lexical vs. acoustic emotion cues reliance,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Do audio llms really listen, or just transcribe? measuring lexical vs. acoustic emotion cues reliance,

Reference 24

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Observation 1808a07a-48c5-4115-9284-1a7d969fa694 · outbound

This paper cites Explainable artificial in- telligence for medical applications: A review,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Explainable artificial in- telligence for medical applications: A review,

Reference 25

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Observation 7e564519-d9fe-49f5-869d-21432e05ef56 · outbound

This paper cites Improving audio explanations using audio language models,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Improving audio explanations using audio language models,

Reference 26

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This paper cites Opensmile: the munich versatile and fast open-source audio feature extractor,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Opensmile: the munich versatile and fast open-source audio feature extractor,

Reference 27

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Observation 32bd0666-f9ea-4acb-9b06-d414ebec8918 · outbound

This paper cites Towards multimodal sarcasm detection (an obviously perfect paper),.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Towards multimodal sarcasm detection (an obviously perfect paper),

Reference 28

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Observation 4ba0fe59-fbfa-46aa-be5c-527d90e97629 · outbound

This paper cites Cmma: benchmarking multi-affection detection in chinese multi-modal conversations,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Cmma: benchmarking multi-affection detection in chinese multi-modal conversations,

Reference 29

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Observation a24085d6-81a4-43a8-bfc1-794c6320f913 · outbound

This paper cites Leveraging Large Language Models for Sarcastic Speech Annotation in Sarcasm Detection.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Leveraging Large Language Models for Sarcastic Speech Annotation in Sarcasm Detection

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This paper cites Empathy omni: Enabling empathetic speech response generation through large language models,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Empathy omni: Enabling empathetic speech response generation through large language models,

Reference 31

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Observation 0d49c6aa-7a8f-422f-9f78-1b075e44b526 · outbound

This paper cites Be- yond silent letters: Amplifying llms in emotion recognition with vocal nuances,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Be- yond silent letters: Amplifying llms in emotion recognition with vocal nuances,

Reference 32

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Observation 18f3ad67-775c-4e2b-9289-40d40359aa7e · outbound

This paper cites Llms will always hallucinate, and we need to live with this,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Llms will always hallucinate, and we need to live with this,

Reference 33

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Observation cdd85dea-cfd5-4cb2-b1e1-56fe75b84106 · outbound

This paper cites AMuSeD: An Attentive Deep Neural Network for Multimodal Sarcasm Detection Incorporating Bi-modal Data Augmentation.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection AMuSeD: An Attentive Deep Neural Network for Multimodal Sarcasm Detection Incorporating Bi-modal Data Augmentation

Reference 34

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Observation cf4e8118-aba3-4930-90b7-1a8149f5835f · outbound

This paper cites Grainy-xai: A domain- wise granular analysis of sarcastic text using explainable-ai techniques.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Grainy-xai: A domain- wise granular analysis of sarcastic text using explainable-ai techniques

Reference 35

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Observation 29c53939-3209-4b33-a84a-032870afa2cc · outbound

This paper cites Qwen2.5 technical report,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Qwen2.5 technical report,

Reference 36

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Observation 6e7de653-b735-473b-b2d5-6f32be46f4a0 · outbound

This paper cites Qwen2.5 Technical Report.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Qwen2.5 Technical Report

Reference 37

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Observation 6d12e03c-1446-4e2f-a46f-eaab95c87451 · outbound

This paper cites The Llama 3 Herd of Models.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection The Llama 3 Herd of Models

Reference 38

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Observation 4b237c3c-eb66-4b3d-8a7c-174dad3ce810 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Gemma 2: Improving Open Language Models at a Practical Size

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Observation 7404699f-8330-4fb9-b344-08ffcb609c2d · outbound

This paper cites Mixtral of Experts.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Mixtral of Experts

Reference 40

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Observation 194a5680-bffb-4d88-b89e-1457ddbfd7d1 · outbound

This paper cites DeepSeek-V3 Technical Report.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection DeepSeek-V3 Technical Report

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CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection OpenAI GPT-5 System Card

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Observation 613be062-1f43-4b5f-93b0-8bf3cb2c4a77 · outbound

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CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Unresolved cited work

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Observation 193097e1-44f2-42b9-b50a-dda60919d7ca · outbound

This paper cites Random forests,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Random forests,

Reference 44

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CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Greedy function approximation: a gradient boosting machine,

Reference 45

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Observation f390aeb2-721d-451d-9132-378df645707f · outbound

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CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection A decision-theoretic generalization of on-line learning and an application to boosting,

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Observation 38190a95-5e95-43d5-a3ef-2525bed20d61 · outbound

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CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Support vector regression machines,

Reference 47

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Observation 1c5bb8f4-fbd2-4fb1-b2f2-d8d397c64def · outbound

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CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Multilayer perceptron and neural networks,

Reference 48

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Observation b5b5f335-7a91-4a9b-bec2-bd03c3ef92ae · outbound

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CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Xgboost: A scalable tree boosting system,

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Observation 8793cbc2-32dc-46be-b3cb-9fc6d3d50e2b · outbound

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CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Lightgbm: A highly efficient gradient boosting decision tree,

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Observation 7d1c8fd6-c1f1-470c-9a61-38467168e516 · outbound

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CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Stacked generalization,

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Observation 5c3c6f9f-ce67-4f8c-a978-8180901414ad · outbound

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CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection On combining classifiers,

Reference 52

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Observation 15595113-c783-4a75-a32a-776a83a96374 · outbound

This paper cites Language mod- els are few-shot learners,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Language mod- els are few-shot learners,

Reference 53

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Observation 8965bd1e-5fa5-4840-af0b-9f5814cdc57a · outbound

This paper cites Combining probability from independent tests: the weighted z-method is superior to fisher’s approach,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Combining probability from independent tests: the weighted z-method is superior to fisher’s approach,

Reference 54

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Observation 600c655a-24e1-445d-8a5e-428aedc70d0e · outbound

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CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection When to use the b onferroni correction,

Reference 55

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Observation 35394234-6975-4b70-9f8f-326a01df5256 · outbound

This paper cites A deep learning based contrastive atten- tion model for multi-modal sarcasm detection,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection A deep learning based contrastive atten- tion model for multi-modal sarcasm detection,

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Observation 6df29a32-fa0d-45aa-8b12-fe1906f4560f · outbound

This paper cites Breakthrough from nuance and inconsistency: Enhancing multimodal sarcasm detection with context-aware self-attention fusion and word weight calculation.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Breakthrough from nuance and inconsistency: Enhancing multimodal sarcasm detection with context-aware self-attention fusion and word weight calculation

Reference 57

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Observation f6513c81-dccc-4d95-bb80-53a9ac75f1ba · outbound

This paper cites How capable are state-of-the-art language models to cope with sarcasm?.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection How capable are state-of-the-art language models to cope with sarcasm?

Reference 58

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Observation 6ac6357d-bfcd-4a6b-b9af-dcf3a0a9bbbe · outbound

This paper cites Pragmatic metacognitive prompting improves llm performance on sarcasm detec- tion,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Pragmatic metacognitive prompting improves llm performance on sarcasm detec- tion,

Reference 59

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Observation da92c1d9-7d44-40d3-834b-31df255a2bbf · outbound

This paper cites Masd: A multi-agent sarcasm detection framework with chain-of-thought,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Masd: A multi-agent sarcasm detection framework with chain-of-thought,

Reference 60

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Observation 0194e7b4-4d21-4ab5-90fd-036514a89d3d · outbound

This paper cites Sarc7: Evaluating sarcasm detection and generation with seven types and emotion-informed techniques,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Sarc7: Evaluating sarcasm detection and generation with seven types and emotion-informed techniques,

Reference 61

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Observation 38c5ec29-d732-43f6-a590-f8d2f8577e24 · outbound

This paper cites Acoustic markers of sarcasm in cantonese and english,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection Acoustic markers of sarcasm in cantonese and english,

Reference 62

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Observation 57bb26a5-298d-409d-bfb3-69205641899e · outbound

This paper cites The role of voice quality in mandarin sarcastic speech: An acoustic and electroglottographic study,.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection The role of voice quality in mandarin sarcastic speech: An acoustic and electroglottographic study,

Reference 63

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Observation 1c6d8c39-7264-4e29-92f7-7caa8eaaedfa · outbound

This paper cites The pragmatics of verbal irony: Echo or pretence?.

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection The pragmatics of verbal irony: Echo or pretence?

Reference 64

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