58 citations · 130 across the 12 of their papers we have counts for
13 papers
ProEval: Proactive Failure Discovery and Efficient Performance Estimation for Generative AI Evaluation
Yizheng Huang, Wenjun Zeng, Aditi Kumaresan +1
Evaluating generative AI models is increasingly resource-intensive due to slow inference, expensive raters, and a rapidly growing landscape of models and benchmarks. We propose Pro…
TextClusterLab: An Integrated Framework for Reliable Text Clustering Studies
Daoming Wan, Yizheng Huang, Jimmy X. Huang
In recent years, text clustering has become a critical technique for applications including intent discovery, topic mining, and recommendation systems. However, evaluating text clu…
A Survey on Retrieval-Augmented Text Generation for Large Language Models
Yizheng Huang, Jimmy Huang
Retrieval-Augmented Generation (RAG) merges retrieval methods with deep learning advancements to address the static limitations of large language models (LLMs) by enabling the dyna…
Exploring ChatGPT for Next-generation Information Retrieval: Opportunities and Challenges
Yizheng Huang, Jimmy Huang
The rapid advancement of artificial intelligence (AI) has highlighted ChatGPT as a pivotal technology in the field of information retrieval (IR). Distinguished from its predecessor…
DataCI: A Platform for Data-Centric AI on Streaming Data
Huaizheng Zhang, Yizheng Huang, Yuanming Li
We introduce DataCI, a comprehensive open-source platform designed specifically for data-centric AI in dynamic streaming data settings. DataCI provides 1) an infrastructure with ri…
Towards Balanced Active Learning for Multimodal Classification
Meng Shen, Yizheng Huang, Jianxiong Yin +3
Training multimodal networks requires a vast amount of data due to their larger parameter space compared to unimodal networks. Active learning is a widely used technique for reduci…