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My current research focuses on applying the knowledge priors of large language models (LLMs) to various domains (images, videos, healthcare, Embodied AI, etc) to improve different aspects of AI systems, including:
Interpretability. LLMs aid in constructing human-readable intermediate representations, such as concept bottlenecks, enabling the design of inherently interpretable models, thereby mitigating the black-box nature of deep learning.
Robustness. By utilizing sparse natural language representations as input, models are less prone to overfitting on the spurious cues of in-domain training data, enhancing their robustness and out-of-domain generalization.
Controllability & Creativity. Language interfaces in generative systems enables easier control over the generation process. Leveraging the extensive world knowledge of LLMs, these systems can produce customized and diverse outputs.
Interpretability. LLMs aid in constructing human-readable intermediate representations, such as concept bottlenecks, enabling the design of inherently interpretable models, thereby mitigating the black-box nature of deep learning.
Robustness. By utilizing sparse natural language representations as input, models are less prone to overfitting on the spurious cues of in-domain training data, enhancing their robustness and out-of-domain generalization.
Controllability & Creativity. Language interfaces in generative systems enables easier control over the generation process. Leveraging the extensive world knowledge of LLMs, these systems can produce customized and diverse outputs.
Research Interests
Papers共 43 篇Author StatisticsCo-AuthorSimilar Experts
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CoRR (2024)
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Yue Yang,Lei Ren, Chuang Chen, Bin Hu, Zhuoyi Zhang, Xinyan Li, Yanchen Shen,Kuangqi Zhu,Junzhe Ji, Yuyang Zhang, Yongbo Ni, Jiayi Wu,
ACM Conference on Human Factors in Computing Systemspp.342:1-342:15, (2024)
CoRR (2024)
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Mengyang Li, Chuang Chen, Xin Tang,Kuangqi Zhu,Yue Yang,Shijian Luo,Cheng Yao,Fangtian Ying,Ye Tao,Guanyun Wang
ACM Conference on Human Factors in Computing Systemspp.192:1-192:6, (2024)
CoRR (2024)
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AAAI 2024no. 5 (2024): 4506-4514
ACM Conference on Human Factors in Computing Systemspp.859:1-859:18, (2024)
PROCEEDINGS OF THE ACM ON INTERACTIVE MOBILE WEARABLE AND UBIQUITOUS TECHNOLOGIES-IMWUTno. 1 (2023): 31:1-31:27
CVPR 2023 (2023): 19187-19197
22ND ANNUAL ACM INTERACTION DESIGN AND CHILDREN CONFERENCE, IDC 2023: Rediscovering Childhoodpp.563-567, (2023)
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