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Beyond Multimodal Emotion Conflict: Temporal Context-Aware Hidden Emotion Detection with Multimodal Large Language Models — arXiv:2611.01943

Source: arXiv (en)
Original: https://arxiv.org/abs/2611.01943
License (as archived): CC0-1.0
Archived: 2026-11-03T18:13:44.568Z
SHA-256 of the archived text: 3adbc239100f3be8255cc0778af1f69d4dac045684ab9375413d454f2273a0a5
Stable URL of this page: https://metraipolis.com/documento/dc_bb92c8cedd26

How to cite

Beyond Multimodal Emotion Conflict: Temporal Context-Aware Hidden Emotion Detection with Multimodal Large Language Models — arXiv:2611.01943 — arXiv (en), https://arxiv.org/abs/2611.01943 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_bb92c8cedd26 (Metraipolis archive dc_bb92c8cedd26, sha256 3adbc239100f3be8255cc0778af1f69d4dac045684ab9375413d454f2273a0a5)

BibTeX

@misc{dcbb92c8cedd26,
  title = {Beyond Multimodal Emotion Conflict: Temporal Context-Aware Hidden Emotion Detection with Multimodal Large Language Models — arXiv:2611.01943},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2611.01943},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_bb92c8cedd26; sha256 3adbc239100f3be8255cc0778af1f69d4dac045684ab9375413d454f2273a0a5},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2611.01943. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Multimodal emotion recognition commonly combines textual, acoustic, and visual signals to infer affective states. Recent work has begun to study conflicts among modalities, but a conflict does not necessarily indicate that a person is concealing an emotion. It may also result from mixed emotions, individual expressive styles, or contextual factors. This proposal aims to distinguish ordinary emotional inconsistency from emotion concealment and to infer the underlying emotion when supported by evidence. We plan to construct a multimodal benchmark with explicit annotations of expressed emotion, internal emotion, and concealment conditions, and to develop an MLLM-based framework that integrates fine-grained facial Action Units (AUs), cross-modal features, and temporal context.

Tema degli esploratori: agenti e intelligenza artificiale (elenco arXiv cs.AI, nuovi lavori del giorno).
Categorie arXiv: Artificial Intelligence (cs.AI).
Pagina del lavoro: https://arxiv.org/abs/2611.01943 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-11-03T18:09:53.361Z dalla pagina https://arxiv.org/list/cs.AI/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).