Does Understanding Inform Generation in Unified Multimodal Models? From Analysis to Path Forward
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2511.20561
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Published
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31
Sentience & Interaction Lab
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AI & ML interests
At the Sentience & Interaction Lab (SIL), we investigate the foundations of AI Sentience and Emotional Intelligence. We utilize advanced multimodal perception (Vision and Language) as a bridge to engineer genuinely human-centric interactions.
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Wayne-KingÂ
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a
paper
2 days ago
MING-ZCHÂ
authored
a
paper
17 days ago
MING-ZCHÂ
updated
a
Space
18 days ago
MING-ZCHÂ
published
a
Space
18 days ago
Wayne-KingÂ
authored
a
paper
about 1 month ago
Wayne-KingÂ
authored
4
papers
about 2 months ago
SemiReward: A General Reward Model for Semi-supervised Learning
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2310.03013
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Published
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2
Switch EMA: A Free Lunch for Better Flatness and Sharpness
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2402.09240
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4
OpenMixup: Open Mixup Toolbox and Benchmark for Visual Representation Learning
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2209.04851
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Published
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3
SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models
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2510.12784
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Published
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19
MING-ZCHÂ
authored
2
papers
6 months ago
MING-ZCHÂ
authored
a
paper
11 months ago
MING-ZCHÂ
authored
a
paper
about 1 year ago
Wayne-KingÂ
authored
a
paper
about 1 year ago
MING-ZCHÂ
authored
a
paper
about 1 year ago
MING-ZCHÂ
authored
3
papers
over 1 year ago
CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling
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2405.16433
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Published
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1
GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability
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2403.04483
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Published
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1
CPsyExam: A Chinese Benchmark for Evaluating Psychology using Examinations
Paper
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2405.10212
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Published
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1