Do We Really Need Multimodal Emotion Language Models Larger Than 1B Parameters?
Recent advances in multimodal large language models (MLLMs) have significantly improved the performance of multimodal emotion recognition (MER) and enabled interpretable description generation by jointly modeling video, audio, and language,
https://arxiv.org/abs/2607.12787v1 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
Idea match
None
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llm
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Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”
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People
K
Kaiwen Zheng
1.0
low confidence
J
Junchen Fu
1.0
low confidence
W
Wenhao Deng
1.0
low confidence
H
Hu Han
1.0
low confidence
J
Joemon M. Jose
1.0
low confidence
X
Xuri Ge
1.0
low confidence
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