A PhD Student's Perspective on Research in NLP in the Era of Very Large Language Models. - Oana Ignat; Zhijing Jin 001; Artem Abzaliev; Laura Biester; Santiago Castro; Naihao Deng; Xinyi Gao 004; Aylin Gunal; Jacky He; Ashkan Kazemi; Muhammad Khalifa; Namho Koh; et al. (CoRR, 2023)

Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models. - Oana Ignat; Zhijing Jin 001; Artem Abzaliev; Laura Biester; Santiago Castro; Naihao Deng; Xinyi Gao 004; Aylin Gunal; Jacky He; Ashkan Kazemi; Muhammad Khalifa; Namho Koh; et al. (LREC/COLING, 2024)

A Fine-Tuning Approach for T5 Using Knowledge Graphs to Address Complex Tasks. - Xiaoxuan Liao; Binrong Zhu; Jacky He; Guiran Liu; Hongye Zheng; Jia Gao (CoRR, 2025)

A LongFormer-Based Framework for Accurate and Efficient Medical Text Summarization. - Dan Sun; Jacky He; Hanlu Zhang; Zhen Qi; Hongye Zheng; Xiaokai Wang (CoRR, 2025)

Semantic and Contextual Modeling for Malicious Comment Detection with BERT-BiLSTM. - Zhou Fang; Hanlu Zhang; Jacky He; Zhen Qi; Hongye Zheng (CoRR, 2025)

Pre-trained Language Models and Few-shot Learning for Medical Entity Extraction. - Xiaokai Wang; Guiran Liu; Binrong Zhu; Jacky He; Hongye Zheng; Hanlu Zhang (CoRR, 2025)

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models. - Jacky He; Guiran Liu; Binrong Zhu; Hanlu Zhang; Hongye Zheng; Xiaokai Wang (CoRR, 2025)