---
title: "Minlie Huang — all works — Elamur Research"
description: "All 58 works of Minlie Huang in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/minlie-huang/works/"
---
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# Minlie Huang — all works

58 works · [← Minlie Huang](https://md.research.elamur.ai/free/en/authors/minlie-huang/)

1. **[Attention-based LSTM for Aspect-level Sentiment Classification](https://md.research.elamur.ai/free/en/papers/wang-2016-attention-based-lstm-aspect-level/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yequan Wang, Minlie Huang, Xiaoyan Zhu, et al.*2016 · 2,621 citations*
2. **[PPT: Pre-trained Prompt Tuning for Few-shot Learning](https://md.research.elamur.ai/free/en/papers/gu-2022-ppt-pre-trained-prompt-tuning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuxian Gu, Xu Han, Zhiyuan Liu, et al.*2022 · 471 citations*
3. **[Towards Emotional Support Dialog Systems](https://md.research.elamur.ai/free/en/papers/liu-2021-emotional-support-dialog-systems/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Siyang Liu, Chujie Zheng, Orianna Demasi, et al.*2021 · 392 citations*
4. **[TransG : A Generative Model for Knowledge Graph Embedding ↗](https://aclanthology.org/P16-1219/) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Han Xiao, Minlie Huang, Xiaoyan Zhu*2016 · 387 citations*
5. [**Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy arXiv:2305.15294**Zhihong Shao, Yeyun Gong, Yelong Shen, et al.*2023 · 383 citations*](https://md.research.elamur.ai/free/en/papers/shao-2023-enhancing-retrieval-augmented-large-language/)
6. **[A Hierarchical Framework for Relation Extraction with Reinforcement Learning ↗](https://doi.org/10.1609/aaai.v33i01.33017072) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Ryuichi Takanobu et al.*2019 · 272 citations*
7. [**ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving arXiv:2309.17452**Zhibin Gou, Zhihong Shao, Yeyun Gong, et al.*2023 · 225 citations*](https://md.research.elamur.ai/free/en/papers/gou-2023-tora-tool-integrated-reasoning-agent/)
8. **[CEM: Commonsense-aware Empathetic Response Generation ↗](https://arxiv.org/abs/2109.05739) arXiv:2109.05739 · Proceedings of the AAAI Conference on Artificial Intelligence 2022 · no summary yet**Sahand Sabour, Chujie Zheng, Minlie Huang*2021 · 224 citations*
9. **[SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions ↗](https://doi.org/10.1609/aaai.v31i1.10952) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Han Xiao et al.*2017 · 190 citations*
10. **[Linguistically Regularized LSTM for Sentiment Classification ↗](https://aclanthology.org/P17-1154/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Qiao Qian et al.*2017 · 187 citations*
11. **[SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge ↗](https://aclanthology.org/2020.emnlp-main.567/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Pei Ke et al.*2020 · 178 citations*
12. **[COLD: A Benchmark for Chinese Offensive Language Detection ↗](https://aclanthology.org/2022.emnlp-main.796/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Jiawen Deng et al.*2022 · 151 citations*
13. **[CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset](https://md.research.elamur.ai/free/en/papers/zhu-2020-crosswoz-large-scale-chinese-cross/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Qi Zhu, Kaili Huang, Zheng Zhang, et al.*2020 · 147 citations*
14. **[Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph ↗](https://aclanthology.org/2020.emnlp-main.54/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Haozhe Ji et al.*2020 · 145 citations*
15. [**MiniLLM: On-Policy Distillation of Large Language Models arXiv:2306.08543**Yuxian Gu, Li Dong, Furu Wei, et al.*2023 · 144 citations*](https://md.research.elamur.ai/free/en/papers/gu-2023-minillm-policy-distillation-large-language/)
16. **[KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation ↗](https://aclanthology.org/2020.acl-main.635/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Hao Zhou et al.*2020 · 143 citations*
17. **[Long and Diverse Text Generation with Planning-based Hierarchical Variational Model ↗](https://aclanthology.org/D19-1321/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Zhihong Shao et al.*2019 · 141 citations*
18. [**SafetyBench: Evaluating the Safety of Large Language Models arXiv:2309.07045**Zhexin Zhang, Leqi Lei, Lindong Wu, et al.*2023 · 140 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-safetybench-evaluating-safety-large/)
19. **[ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning](https://md.research.elamur.ai/free/en/papers/qin-2021-erica-improving-entity-relation-understanding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yujia Qin, Yankai Lin, Ryuichi Takanobu, et al.*2021 · 139 citations*
20. **[JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs ↗](https://aclanthology.org/2021.findings-acl.223/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yet**Pei Ke et al.*2021 · 132 citations*
21. **[ConvLab: Multi-Domain End-to-End Dialog System Platform ↗](https://aclanthology.org/P19-3011/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations · no summary yet**Sungjin Lee et al.*2019 · 126 citations*
22. **[ChID: A Large-scale Chinese IDiom Dataset for Cloze Test](https://md.research.elamur.ai/free/en/papers/zheng-2019-chid-large-scale-chinese/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chujie Zheng, Minlie Huang, Aixin Sun*2019 · 119 citations*
23. **[Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog ↗](https://aclanthology.org/D19-1010/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Ryuichi Takanobu, Hanlin Zhu, Minlie Huang*2019 · 117 citations*
24. **[PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support ↗](https://aclanthology.org/2021.findings-acl.130/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yet**Hao Sun et al.*2021 · 114 citations*
25. **[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*
26. **[ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems ↗](https://aclanthology.org/2020.acl-demos.19/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations · no summary yet**Qi Zhu et al.*2020 · 112 citations*
27. **[Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders ↗](https://aclanthology.org/P18-1204/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yansen Wang et al.*2018 · 103 citations*
28. **[On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark](https://md.research.elamur.ai/free/en/papers/sun-2022-safety-conversational-models-taxonomy-dataset/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hao Sun, Guangxuan Xu, Jiawen Deng, et al.*2022 · 102 citations*
29. **[Generating Informative Responses with Controlled Sentence Function ↗](https://aclanthology.org/P18-1139/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Pei Ke et al.*2018 · 99 citations*
30. **[CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation ↗](https://aclanthology.org/2021.findings-acl.72/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yet**Chujie Zheng et al.*2021 · 98 citations*
31. **[Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence ↗](https://aclanthology.org/2021.acl-long.499/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Jian Guan et al.*2021 · 90 citations*
32. [**Safety Assessment of Chinese Large Language Models arXiv:2304.10436**Hao Sun, Zhexin Zhang, Jiawen Deng, et al.*2023 · 89 citations*](https://md.research.elamur.ai/free/en/papers/sun-2023-safety-assessment-chinese-large-language/)
33. **[EmoBench: Evaluating the Emotional Intelligence of Large Language Models](https://md.research.elamur.ai/free/en/papers/sabour-2024-emobench-evaluating-emotional-intelligence-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sahand Sabour, Siyang Liu, Zheyuan Zhang, et al.*2024 · 88 citations*
34. [**On Prompt-Driven Safeguarding for Large Language Models arXiv:2401.18018**Chujie Zheng, Fan Yin, Hao Zhou, et al.*2024 · 85 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2024-prompt-driven-safeguarding-large-language/)
35. **[MMConv: An Environment for Multimodal Conversational Search across Multiple Domains ↗](https://doi.org/10.1145/3404835.3462970) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Lizi Liao et al.*2021 · 84 citations*
36. **[Continual Learning for Natural Language Generation in Task-oriented Dialog Systems ↗](https://aclanthology.org/2020.findings-emnlp.310/) Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yet**Fei Mi et al.*2020 · 83 citations*
37. **[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*
38. **[Unveiling the Implicit Toxicity in Large Language Models](https://md.research.elamur.ai/free/en/papers/wen-2023-unveiling-implicit-toxicity-large-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiaxin Wen, Pei Ke, Hao Sun, et al.*2023 · 72 citations*
39. [**CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation arXiv:2311.18702**Pei Ke, Bosi Wen, Zhuoer Feng, et al.*2023 · 69 citations*](https://md.research.elamur.ai/free/en/papers/ke-2023-critiquellm-informative-critique-generation/)
40. **[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*
41. **[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*
42. **[Language Models Learn to Mislead Humans via RLHF ↗](https://arxiv.org/abs/2409.12822) arXiv (Cornell University) · no summary yet**Jiaxin Wen et al.*2024 · 33 citations*
43. **[Robustness to Modification with Shared Words in Paraphrase Identification ↗](https://aclanthology.org/2020.findings-emnlp.16/) Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yet**Zhouxing Shi, Minlie Huang*2020 · 30 citations*
44. **[Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning](https://md.research.elamur.ai/free/en/papers/zheng-2023-click-controllable-text-generation-sequence/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chujie Zheng, Pei Ke, Zheng Zhang, et al.*2023 · 29 citations*
45. **[NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer ↗](https://aclanthology.org/2021.findings-acl.138/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yet**Fei Huang et al.*2021 · 26 citations*
46. **[Understanding the Dark Side of LLMs' Intrinsic Self-Correction](https://md.research.elamur.ai/free/en/papers/zhang-2025-understanding-dark-side-llms-intrinsic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qingjie Zhang, Di Wang, Haoting Qian, et al.*2025 · 21 citations*
47. **[A Survey of Post-Training Scaling in Large Language Models](https://md.research.elamur.ai/free/en/papers/lai-2025-survey-post-training-scaling-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hanyu Lai, Xiao Liu, Junjie Gao, et al.*2025 · 18 citations*
48. [**ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback arXiv:2404.00934**Zhenyu Hou, Yilin Niu, Zhengxiao Du, et al.*2024 · 17 citations*](https://md.research.elamur.ai/free/en/papers/hou-2024-chatglm-rlhf-practices-aligning/)
49. **[StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing ↗](https://aclanthology.org/2023.acl-long.827/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Xuekai Zhu et al.*2023 · 13 citations*
50. [**MiniPLM: Knowledge Distillation for Pre-Training Language Models arXiv:2410.17215**Yuxian Gu, Hao Zhou, Fandong Meng, et al.*2024 · 12 citations*](https://md.research.elamur.ai/free/en/papers/gu-2024-miniplm-knowledge-distillation-pre-training/)
51. **[Crisp: Cognitive Restructuring of Negative Thoughts through Multi-turn Supportive Dialogues](https://md.research.elamur.ai/free/en/papers/zhou-2025-crisp-cognitive-restructuring-negative-thoughts/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jinfeng Zhou, Yuxuan Chen, Jianing Yin, et al.*2025 · 10 citations*
52. **[How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study](https://md.research.elamur.ai/free/en/papers/zhang-2026-how-should-we-enhance-safety/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhexin Zhang, Xian Qi Loye, Victor Shea-Jay Huang, et al.*2026 · 6 citations*
53. **[RLJP: Legal Judgment Prediction via First-Order Logic Rule-enhanced with Large Language Models ↗](https://arxiv.org/abs/2505.21281) arXiv:2505.21281 · no summary yet**Yue Zhang et al.*2025 · 3 citations*
54. **[IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation](https://md.research.elamur.ai/free/en/papers/wen-2026-if-critic-fine-grained-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bosi Wen, Yilin Niu, Cunxiang Wang, et al.*2026 · 1 citation*
55. **[IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation](https://md.research.elamur.ai/free/en/papers/wen-2026-if-rewardbench-benchmarking-judge-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bosi Wen, Yilin Niu, Cunxiang Wang, et al.*2026 · 1 citation*
56. **[Data Efficient RLVR via Off-Policy Influence Guidance](https://md.research.elamur.ai/free/en/papers/zhu-2026-data-efficient-rlvr-off-policy/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Erle Zhu, Dazhi Jiang, Yuan Wang, et al.*2026*
57. **[LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM Safety](https://md.research.elamur.ai/free/en/papers/yang-2026-lasa-language-agnostic-semantic-alignment/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junxiao Yang, Haoran Liu, Jinzhe Tu, et al.*2026*
58. **[S^4: Operationalizing Speech Act Theory for Strategic Semi-Structured Psychiatric Interview ↗](https://aclanthology.org/2026.acl-long.1802/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Guanqun Bi et al.*2026*
