DeepVolume: Brain Structure and Spatial Connection-Aware Network for Brain MRI Super-Resolution. - Zeju Li; Jinhua Yu; Yuanyuan Wang 001; Hanzhang Zhou; Haowei Yang; Zhongwei Qiao (IEEE Trans. Cybern., 2021)

Document-Level Event Argument Extraction by Leveraging Redundant Information and Closed Boundary Loss. - Hanzhang Zhou; Kezhi Mao (NAACL-HLT, 2022)

Tailored text augmentation for sentiment analysis. - Zijian Feng; Hanzhang Zhou; Zixiao Zhu; Kezhi Mao (Expert Syst. Appl., 2022)

Closed Boundary Learning for Classification Tasks with the Universum Class. - Hanzhang Zhou; Zijian Feng; Kezhi Mao (EMNLP (Findings), 2023)

Heuristics-Driven Link-of-Analogy Prompting: Enhancing Large Language Models for Document-Level Event Argument Extraction. - Hanzhang Zhou; Junlang Qian; Zijian Feng; Hui Lu; Zixiao Zhu; Kezhi Mao (CoRR, 2023)

FreeCtrl: Constructing Control Centers with Feedforward Layers for Learning-Free Controllable Text Generation. - Zijian Feng; Hanzhang Zhou; Kezhi Mao; Zixiao Zhu (ACL (1), 2024)

LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction. - Hanzhang Zhou; Junlang Qian; Zijian Feng; Hui Lu; Zixiao Zhu; Kezhi Mao (ACL (1), 2024)

PromptExplainer: Explaining Language Models through Prompt-based Learning. - Zijian Feng; Hanzhang Zhou; Zixiao Zhu; Kezhi Mao (EACL (Findings), 2024)

Unveiling and Manipulating Prompt Influence in Large Language Models. - Zijian Feng; Hanzhang Zhou; Zixiao Zhu; Junlang Qian; Kezhi Mao (ICLR, 2024)

EDEntail: An Entailment-based Few-shot Text Classification with Extensional Definition. - Zixiao Zhu; Junlang Qian; Zijian Feng; Hanzhang Zhou; Kezhi Mao (NAACL-HLT (Findings), 2024)

UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation. - Hanzhang Zhou; Zijian Feng; Zixiao Zhu; Junlang Qian; Kezhi Mao (NeurIPS, 2024)

MICL: Improving In-Context Learning through Multiple-Label Words in Demonstration. - Zixiao Zhu; Zijian Feng; Hanzhang Zhou; Junlang Qian; Kezhi Mao (CoRR, 2024)

Adaptive micro- and macro-knowledge incorporation for hierarchical text classification. - Zijian Feng; Kezhi Mao; Hanzhang Zhou (Expert Syst. Appl., 2024)

Beyond the Next Token: Towards Prompt-Robust Zero-Shot Classification via Efficient Multi-Token Prediction. - Junlang Qian; Zixiao Zhu; Hanzhang Zhou; Zijian Feng; Zepeng Zhai; Kezhi Mao (NAACL (Long Papers), 2025)

Logit Separability-Driven Samples and Multiple Class-Related Words Selection for Advancing In-Context Learning. - Zixiao Zhu; Zijian Feng; Hanzhang Zhou; Junlang Qian; Kezhi Mao (NAACL (Long Papers), 2025)

Rethinking Prompt Optimizers: From Prompt Merits to Optimization. - Zixiao Zhu; Hanzhang Zhou; Zijian Feng; Tianjiao Li; Chua Jia Jim Deryl; Lee Onn Mak; Gee Wah Ng; Kezhi Mao (CoRR, 2025)