74 citations · 82 across the 5 of their papers we have counts for
5 papers
Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals
Zhiyuan Hu, Yue Feng, Yang Deng +4
Recently, the development of large language models (LLMs) has been significantly enhanced the question answering and dialogue generation, and makes them become increasingly popular…
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization
Zekun Li, Lei Qi, Yinghuan Shi +1
Semi-supervised learning (SSL) aims to leverage massive unlabeled data when labels are expensive to obtain. Unfortunately, in many real-world applications, the collected unlabeled…
Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection
Zekun Li, Baolin Peng, Pengcheng He +1
Large Language Models (LLMs) have demonstrated exceptional proficiency in instruction-following, becoming increasingly crucial across various applications. However, this capability…
Epitaxial growth and electronic structure of Ruddlesden-Popper nickelates ()
Zi Li, Wei Guo, Tingting Zhang +4
We report the epitaxial growth of Ruddlesden-Popper nickelates, , with up to 5 by reactive molecular beam epitaxy (MBE).…
Limitations of Language Models in Arithmetic and Symbolic Induction
Jing Qian, Hong Wang, Zekun Li +2
Recent work has shown that large pretrained Language Models (LMs) can not only perform remarkably well on a range of Natural Language Processing (NLP) tasks but also start improvin…