---
title: "Minlie Huang — papers of 2024 — 6 papers, the most cited first"
description: "Minlie Huang — papers of 2024: 6 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Minlie Huang — papers of 2024 — 6 papers, the most cited first

6 papers · [all years of Minlie Huang](https://md.research.elamur.ai/free/en/authors/minlie-huang/#years)

**[Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization](https://md.research.elamur.ai/free/en/papers/zhang-2024-defending-large-language-models-against/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhexin Zhang, Junxiao Yang, Pei Ke, et al.*2024 · 113 citations*

**[Black-Box Prompt Optimization: Aligning Large Language Models without Model Training](https://md.research.elamur.ai/free/en/papers/cheng-2024-black-box-prompt-optimization-aligning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiale Cheng, Xiao Liu, Kehan Zheng, et al.*2024 · 72 citations*

**[ToMBench: Benchmarking Theory of Mind in Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2024-tombench-benchmarking-theory-mind-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhuang Chen, Jincenzi Wu, Jinfeng Zhou, et al.*2024 · 62 citations*

**[Instruction Pre-Training: Language Models are Supervised Multitask Learners](https://md.research.elamur.ai/free/en/papers/cheng-2024-instruction-pre-training-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Daixuan Cheng, Yuxian Gu, Shaohan Huang, et al.*2024 · 59 citations*

- [ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback arXiv:2404.00934](https://md.research.elamur.ai/free/en/papers/hou-2024-chatglm-rlhf-practices-aligning/) — Zhenyu Hou, Yilin Niu, Zhengxiao Du, et al. · 2024 · 17 citations
- [MiniPLM: Knowledge Distillation for Pre-Training Language Models arXiv:2410.17215](https://md.research.elamur.ai/free/en/papers/gu-2024-miniplm-knowledge-distillation-pre-training/) — Yuxian Gu, Hao Zhou, Fandong Meng, et al. · 2024 · 12 citations