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)

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)

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)

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)