AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues | Paper Citation Record

Observation 10a95dde-38d3-4839-87f4-e1ca93295a73 · outbound

This paper cites Empathy Through Multimodality in Conversational Interfaces.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Empathy Through Multimodality in Conversational Interfaces

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:32.836243Z

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Observation 5caa6b3b-b711-4899-95df-ed6e1491726d · outbound

This paper cites Rahmani, and Ramesh Jain.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Rahmani, and Ramesh Jain

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:41:34.464912Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 85c12ff7-8a16-40da-8665-2e0a3715138a · outbound

This paper cites GPT-4 Technical Report.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues GPT-4 Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:32.847576Z

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Observation 97c2493c-aef2-490d-89d0-d52181a4266e · outbound

This paper cites Facechat: An emotion-aware face-to-face dialogue framework.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Facechat: An emotion-aware face-to-face dialogue framework

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:41:34.447857Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bbe1a122-f4fc-4dbc-b32f-0f1a8bd7e0ac · outbound

This paper cites PaLM 2 Technical Report.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues PaLM 2 Technical Report

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.074736Z

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Observation 91b55cb7-7ec2-419a-9915-154f9b0191c5 · outbound

This paper cites Common Voice: A Massively-Multilingual Speech Corpus.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Common Voice: A Massively-Multilingual Speech Corpus

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.080449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1165a748-2539-49b5-94f8-188866968abd · outbound

This paper cites Non-verbal communication in human social interaction.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Non-verbal communication in human social interaction

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:41:34.430997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bd8c445e-b357-4cb2-986f-38a17e003b6b · outbound

This paper cites Qwen Technical Report.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Qwen Technical Report

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.091119Z

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Observation 5e29f143-3003-4d08-976d-b6ee62fba3f2 · outbound

This paper cites Meteor: An automatic metric for mt evaluation with improved correlation with hu- man judgments.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Meteor: An automatic metric for mt evaluation with improved correlation with hu- man judgments

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:41:34.414928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e1fcdb86-810a-40de-8830-5dbe02ddfaca · outbound

This paper cites A neural probabilistic language model.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues A neural probabilistic language model

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:41:34.397506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9a2599c3-1b19-4067-bd61-18105ac3e172 · outbound

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

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Lan- guage models are few-shot learners

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.107326Z

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Observation aad6f30a-782c-4647-a182-b26077c14612 · outbound

This paper cites How far are we from solving the 2d & 3d face alignment problem? (and a dataset of 230,000 3d facial landmarks).

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues How far are we from solving the 2d & 3d face alignment problem? (and a dataset of 230,000 3d facial landmarks)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.112033Z

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Observation fa8681dc-d0c3-4886-8af0-bf68a0f6dc01 · outbound

This paper cites Crema-d: Crowd-sourced emotional multimodal actors dataset.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Crema-d: Crowd-sourced emotional multimodal actors dataset

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:41:34.357690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7cf50eda-3079-4e43-8608-02e13d757dec · outbound

This paper cites End-to- end object detection with transformers.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues End-to- end object detection with transformers

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.122541Z

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Observation 24beb63f-628e-4a50-ad59-36a4a5a335d0 · outbound

This paper cites GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.127633Z

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Observation a5f0462c-2ba7-41fb-b957-f79247347c4f · outbound

This paper cites Palm: Scaling language modeling with pathways.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Palm: Scaling language modeling with pathways

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.133408Z

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Observation bb900e1d-4d39-45d1-b8c2-4cc399c98be3 · outbound

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

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.138391Z

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Observation 053d322a-ba49-424b-86ff-8dbfe45ddf01 · outbound

This paper cites Towards multimodal emotional support con- versation systems, 2024.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Towards multimodal emotional support con- versation systems, 2024

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:41:34.320642Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a1aef6e3-e7d0-4f97-8552-90ed59f3653d · outbound

This paper cites GoEmotions: A Dataset of Fine-Grained Emotions.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues GoEmotions: A Dataset of Fine-Grained Emotions

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.148396Z

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Observation 1b9dc277-c2cf-49ef-8775-d2a1dbd601ac · outbound

This paper cites Retinaface: Single-shot multi- level face localisation in the wild.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Retinaface: Single-shot multi- level face localisation in the wild

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:41:34.304532Z

Source-reported events for the cited work

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Observation a801b367-aceb-47b3-9db8-eb8a763541c1 · outbound

This paper cites EmpathyEar: An Open-source Avatar Multimodal Empathetic Chatbot.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues EmpathyEar: An Open-source Avatar Multimodal Empathetic Chatbot

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.159002Z

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Observation df1fcccf-4332-4586-9d3c-7e4eceaa3ab8 · outbound

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

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Imagebind: One embedding space to bind them all,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:41:34.287083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c9633150-aece-4a77-9ed0-9059406c1eb7 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues LoRA: Low-Rank Adaptation of Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.171100Z

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Observation f4f11a56-8622-43b2-9f1f-fe98f6afb096 · outbound

This paper cites AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.176818Z

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Observation 32dce23d-ac17-4de5-8b3b-99ab082b7ad5 · outbound

This paper cites Perceiver: General perception with iterative attention.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Perceiver: General perception with iterative attention

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.182934Z

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Observation e4b3b818-95d7-4f05-ab8b-ab48d29d055f · outbound

This paper cites CoLLaVO: Crayon Large Language and Vision mOdel.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues CoLLaVO: Crayon Large Language and Vision mOdel

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.187905Z

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Observation 49604cd8-84cc-4946-8f70-1c133ee6d42a · outbound

This paper cites A Diversity-Promoting Objective Function for Neural Conversation Models.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues A Diversity-Promoting Objective Function for Neural Conversation Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.193401Z

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Observation f49ec87b-b44e-4ce6-98d7-e511d6024f4e · outbound

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

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.198727Z

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Observation ef1bc8fc-ff9a-49cc-9b51-e64d8ca4cce7 · outbound

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

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Rouge: A package for automatic evaluation of summaries

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:41:34.248264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8fef244b-6d9e-4e28-ab4a-ecd1e1e3a98a · outbound

This paper cites Paralinguistics-enhanced large language modeling of spoken dialogue.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Paralinguistics-enhanced large language modeling of spoken dialogue

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:41:34.231184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 141e1eaa-952c-45d7-b268-6b88002b2ca9 · outbound

This paper cites Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.213822Z

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Observation a010c5e9-99e9-4651-aef4-227a4274d111 · outbound

This paper cites Visual instruction tuning.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Visual instruction tuning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.218859Z

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Observation f538aa0b-225b-40f7-ad69-b948551e7fcb · outbound

This paper cites The ryer- son audio-visual database of emotional speech and song (ravdess): A dynamic, multimodal set of facial and vocal expressions in north american english.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues The ryer- son audio-visual database of emotional speech and song (ravdess): A dynamic, multimodal set of facial and vocal expressions in north american english

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:41:34.192672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 78d20b3b-01ce-4009-b82c-e1629321318e · outbound

This paper cites Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.229353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5ac3c96-bf86-46e3-aa66-1b9d6e0a142d · outbound

This paper cites Gen- erative spoken dialogue language modeling.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Gen- erative spoken dialogue language modeling

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:41:34.174437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d28c59e3-69d6-4a40-8262-5099d4ed297e · outbound

This paper cites Librispeech: an asr corpus based on public do- main audio books.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Librispeech: an asr corpus based on public do- main audio books

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:41:34.157323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cd831bb4-08ac-497c-8bc1-5c98edf90e94 · outbound

This paper cites Let's Go Real Talk: Spoken Dialogue Model for Face-to-Face Conversation.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Let's Go Real Talk: Spoken Dialogue Model for Face-to-Face Conversation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.245811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 888f3fa5-ca73-42f2-8aeb-0ca558f1a949 · outbound

This paper cites A Call for Clarity in Reporting BLEU Scores.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues A Call for Clarity in Reporting BLEU Scores

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.253158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0bbf93c-7a3d-4862-954e-6e8abc9e4d89 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Learning transferable visual models from natural language supervi- sion

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.259314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 743ee57f-053e-45ce-b1d1-695af3a57bc1 · outbound

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

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Robust speech recognition via large-scale weak supervision

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:41:34.131058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 56dcf946-7027-4f02-acaf-3cdb3ed3000d · outbound

This paper cites Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.268906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 603a6181-8037-4858-8586-39910ee2cfbb · outbound

This paper cites Deepface: Closing the gap to human-level per- formance in face verification.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Deepface: Closing the gap to human-level per- formance in face verification

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:41:34.101671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0f5ec78b-f67e-4117-a13d-22e74e8b8cf3 · outbound

This paper cites SALMONN: Towards Generic Hearing Abilities for Large Language Models.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues SALMONN: Towards Generic Hearing Abilities for Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.279337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a93e3875-9208-4627-a1ef-b2b7cd2e37cc · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Gemini: A Family of Highly Capable Multimodal Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.284458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c6cbd7c-a95e-417c-be6e-c94589a3539c · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues LLaMA: Open and Efficient Foundation Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.289815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a66f0a91-7e53-451e-9c10-df680246853f · outbound

This paper cites Nonverbal cues in human–robot interaction: A communication studies perspec- tive.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Nonverbal cues in human–robot interaction: A communication studies perspec- tive

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:41:34.083757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 197bb5ce-6c80-4c14-a1ec-71a2e2db2c3a · outbound

This paper cites Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.300088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef9e7d27-876e-44ac-8e72-8338b337f9a1 · outbound

This paper cites NExT-GPT: Any-to-Any Multimodal LLM.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues NExT-GPT: Any-to-Any Multimodal LLM

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.305307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 232acf97-afc6-4654-9994-9bd2ff31758a · outbound

This paper cites E-chat: Emotion-sensitive Spoken Dialogue System with Large Language Models.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues E-chat: Emotion-sensitive Spoken Dialogue System with Large Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.310250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 992ada81-9b8d-49a7-87fa-bc54fdeb9c55 · outbound

This paper cites SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.316145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a4ad359-db96-4a07-a166-3948da8617d7 · outbound

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

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.321332Z

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Observation 9af723fe-c657-40b5-999e-7fabb25417e7 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues OPT: Open Pre-trained Transformer Language Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.326680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd18ea5b-f986-47ae-a955-b61271b4d3bf · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues BERTScore: Evaluating Text Generation with BERT

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.332586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ac453cb-0805-4ce5-9ad7-f2d2d0388e5e · outbound

This paper cites DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T05:41:33.337719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b02e6bb9-6af8-4011-87e8-2eba579bab59 · outbound

This paper cites A higher BLEU score indicates a more natural and engaging dialogue model.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues A higher BLEU score indicates a more natural and engaging dialogue model

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:41:34.065645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5ea4968a-f7f4-4369-8911-42d70cb02f94 · outbound

This paper cites Fluency evaluates the grammatical correctness, smoothness, and natural flow of the response.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Fluency evaluates the grammatical correctness, smoothness, and natural flow of the response

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:41:34.049017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fae329b9-1064-4ffa-a20b-f112b6440eed · outbound

This paper cites an unresolved cited work.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:41:34.030674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dbc4d716-2063-4973-b899-f2669da73c0b · outbound

This paper cites It con- tains 2,615 hours of English speech from 92,325 voices with diverse genders, ages, and accents.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues It con- tains 2,615 hours of English speech from 92,325 voices with diverse genders, ages, and accents

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:41:34.013229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aa9cfbb6-a444-4f41-9f1c-b09b7e64ca78 · outbound

This paper cites The prompt given to the GPT is: These are the frames in a video.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues The prompt given to the GPT is: These are the frames in a video

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:41:33.994769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e7b34924-928c-47b7-a190-3fd516d0764e · outbound

This paper cites Yeah, I think it’s unfair how the FD burns 6 tons of books.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Yeah, I think it’s unfair how the FD burns 6 tons of books

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:41:33.976852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cbdd5d48-a78e-4d9c-8bd0-c8f1cc0766b8 · outbound

This paper cites Understanding the context is crucial for a fair evaluation.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Understanding the context is crucial for a fair evaluation

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:41:33.960759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f59e432a-3a1e-44cd-9012-1442a6576f8b · outbound

This paper cites Consider if the emotion expressed is suitable for the situation.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Consider if the emotion expressed is suitable for the situation

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:41:33.943115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c9647bcc-93cc-485d-a050-452bec147607 · outbound

This paper cites an unresolved cited work.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:41:33.926595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8a3b6a30-15fb-463b-aba8-f6a6c29d223a · outbound

This paper cites I've been feeling really down lately. Nothing seems to cheer me up.

AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues I've been feeling really down lately. Nothing seems to cheer me up

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:41:33.910063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers