ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation. - Zhaocong Li; Xuebo Liu 002; Derek F. Wong; Lidia S. Chao; Min Zhang 005 (EMNLP, 2022)

kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation. - Shudong Liu 004; Xuebo Liu 002; Derek F. Wong; Zhaocong Li; Wenxiang Jiao; Lidia S. Chao; Min Zhang 005 (ACL (1), 2023)

Can LMs Generalize to Future Data? An Empirical Analysis on Text Summarization. - Chi Seng Cheang; Hou Pong Chan; Derek F. Wong; Xuebo Liu 002; Zhaocong Li; Yanming Sun; Shudong Liu 004; Lidia S. Chao (EMNLP, 2023)

TempoSum: Evaluating the Temporal Generalization of Abstractive Summarization. - Chi Seng Cheang; Hou Pong Chan; Derek F. Wong; Xuebo Liu 002; Zhaocong Li; Yanming Sun; Shudong Liu 004; Lidia S. Chao (CoRR, 2023)

Modular Anti-noise Deep Learning Network for Robotic Grasp Detection Based on RGB Images. - Zhaocong Li (CoRR, 2023)

Towards Demonstration-Aware Large Language Models for Machine Translation. - Chen Li 001; Meishan Zhang; Xuebo Liu 002; Zhaocong Li; Derek F. Wong; Min Zhang 005 (ACL (Findings), 2024)

Modular Anti-noise Deep Learning Network for Robotic Grasp Detection Based on RGB Images. - Zhaocong Li; Jiahao Zhong (EEET, 2024)

Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner. - Shudong Liu 004; Zhaocong Li; Xuebo Liu 002; Runzhe Zhan; Derek F. Wong; Lidia S. Chao; Min Zhang 005 (EMNLP, 2024)