Jiang, Haoming

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond

Yang, J., Jin, H., Tang, R., Han, X., Feng, Q., Jiang, H., Yin, B., & Hu, X. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 644

Harnessing the power of llms in practice: a survey on chatGPT and beyond

Yang, J., Jin, H., Tang, R., Han, X., Feng, Q., Jiang, H., Zhong, S., Yin, B., & Hu, X. (2024) · ACM Transactions on Knowledge Discovery from Data

Topic ModelingNatural Language Processing Techniques

Cited by 644

Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data

Kong, L., Jiang, H., Zhuang, Y., Lyu, J., Zhao, T., & Zhang, C. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 58

Graph Reasoning for Question Answering with Triplet Retrieval

Li, S., Gao, Y., Jiang, H., Yin, Q., Li, Z., Yan, X., Zhang, C., & Yin, B. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Topic ModelingAdvanced Graph Neural Networks

Cited by 42

OpenAI GPT-5 System Card

Singh, A., Fry, A., Perelman, A., Tart, A., Ganesh, A., El-Kishky, A., McLaughlin, A., Low, A., Ostrow, A., Ananthram, A., et al. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 26

SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models

Yang, J., Jiang, H., Yin, Q., Zhang, D., Yin, B., & Yang, D. (2022) · Findings of the Association for Computational Linguistics: NAACL 2022

Topic ModelingNatural Language Processing Techniques

Cited by 15

IHEval: Evaluating Language Models on Following the Instruction Hierarchy

Zhang, Z., Li, S., Zhang, Z., Liu, X., Jiang, H., Tang, X., Gao, Y., Li, Z., Wang, H., Tan, Z., et al. (2025) · arXiv

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 0