基本信息
浏览量:59

个人简介
My research aim to build up unified AI system capable of simultaneously processing information from multiple modalities and addressing various downstream tasks. With this goal, I have explored following topics:
mixture-of-experts: mixture-of-experts’s structure, pretraining and domain adaption.
language-based multi-modal intelligence: multi-modal learning (acoustic, vision, language and point clouds modalities, etc.), multi-modal retrieval, downstream adaption (zero-shot learning, parameter-efficient fine-tuning).
alignment & debiasing: alignment for large language models (LLMs) and diffusion models, RLAIF.
mixture-of-experts: mixture-of-experts’s structure, pretraining and domain adaption.
language-based multi-modal intelligence: multi-modal learning (acoustic, vision, language and point clouds modalities, etc.), multi-modal retrieval, downstream adaption (zero-shot learning, parameter-efficient fine-tuning).
alignment & debiasing: alignment for large language models (LLMs) and diffusion models, RLAIF.
研究兴趣
论文共 25 篇作者统计合作学者相似作者
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Lingjie Jiang,Xun Wu,Shaohan Huang,Qingxiu Dong,Zewen Chi,Li Dong,Xingxing Zhang,Tengchao Lv,Lei Cui,Furu Wei
arxiv(2025)
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arxiv(2025)
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arxiv(2025)
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INFORMATION SCIENCES (2024)
NeurIPS 2024 (2024)
引用4浏览0EI引用
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IEEE International Conference on Multimedia and Expopp.1-6, (2024)
NeurIPS 2024 (2024)
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IEEE International Conference on Acoustics, Speech, and Signal Processingpp.2575-2576, (2024)
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作者统计
#Papers: 25
#Citation: 236
H-Index: 5
G-Index: 15
Sociability: 5
Diversity: 1
Activity: 24
合作学者
合作机构
D-Core
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