Huang, Minlie
Tsinghua University
24 papers on CoChatORCID 0000-0001-7111-1849
Most cited papers
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Attention-based LSTM for Aspect-level Sentiment Classification
Wang, Y., Huang, M., zhu, X., & Zhao, L. (2016) · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
Sentiment Analysis and Opinion MiningTopic Modeling
Cited by 2,450
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Pre-trained models: Past, present and future
Han, X., Zhang, Z., Ding, N., Gu, Y., Liu, X., Huo, Y., Qiu, J., Yao, Y., Zhang, A., Zhang, L., et al. (2021) · AI Open
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 994
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Challenges in building intelligent open-domain dialog systems
Huang, M., Zhu, X., & Gao, J. (2020) · ACM Transactions on Information Systems
Speech and dialogue systemsAI in Service Interactions
Cited by 288
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Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy
Shao, Z., Gong, Y., Shen, Y., Huang, M., Duan, N., & Chen, W. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023
Topic ModelingInformation Retrieval and Search Behavior
Cited by 200
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Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy
Shao, Z., Gong, Y., Shen, Y., Huang, M., Duan, N., & Chen, W. (2023) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
Cited by 200
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ChatGPT: potential, prospects, and limitations
Zhou, J., Ke, P., Qiu, X., Huang, M., & Zhang, J. (2024) · Frontiers of Information Technology & Electronic Engineering
Topic ModelingArtificial Intelligence Applications
Cited by 153
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A chatbot for mental health support: exploring the impact of Emohaa on reducing mental distress in China
Sabour, S., Zhang, W., Xiao, X., Zhang, Y., Zheng, Y., Wen, J., Zhao, J., & Huang, M. (2023) · Frontiers in Digital Health
Digital Mental Health InterventionsSocial Robot Interaction and HRI
Cited by 102
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JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs
Ke, P., Ji, H., Ran, Y., Cui, X., Wang, L., Song, L., Zhu, X., & Huang, M. (2021) · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Topic ModelingAdvanced Graph Neural Networks
Cited by 92
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AgentBench: Evaluating LLMs as Agents
Liu, X., Yu, H., Zhang, H., Xu, Y., Lei, X., Lai, H., Gu, Y., Ding, H., Men, K., Yang, K., et al. (2023) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 79
- Verified · note
On Prompt-Driven Safeguarding for Large Language Models
Zheng, C., Yin, F., Zhou, H., Meng, F., Zhou, J., Chang, K.-W., Huang, M., & Peng, N. (2024) · arXiv
Adversarial Robustness in Machine LearningHate Speech and Cyberbullying Detection
Cited by 46
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Unveiling the Implicit Toxicity in Large Language Models
Wen, J., Ke, P., Sun, H., Zhang, Z., Li, C., Bai, J., & Huang, M. (2023) · arXiv
Adversarial Robustness in Machine LearningHate Speech and Cyberbullying Detection
Cited by 40
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Memory-Augmented Dialogue Management for Task-Oriented Dialogue Systems
Zhang, Z., Huang, M., Zhao, Z., Ji, F., Chen, H., & Zhu, X. (2019) · ACM Transactions on Information Systems
Speech and dialogue systemsAI in Service Interactions
Cited by 37
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Memory-augmented Dialogue Management for Task-oriented Dialogue Systems
Zhang, Z., Huang, M., Zhao, Z., Ji, F., Chen, H., & Zhu, X. (2018) · arXiv
Speech and dialogue systemsAI in Service Interactions
Cited by 36
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Dialogue Intent Classification with Long Short-Term Memory Networks
Meng, L., & Huang, M. (2018) · Lecture Notes in Computer Science
Speech and dialogue systemsAI in Service Interactions
Cited by 32
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Large Language Models Are Not Robust Multiple Choice Selectors
Zheng, C., Zhou, H., Meng, F., Zhou, J., & Huang, M. (2023) · arXiv
Topic ModelingAdversarial Robustness in Machine Learning
Cited by 29
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Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approach
Zhou, J., Chen, Z., Wang, B., & Huang, M. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Speech and dialogue systemsEmotion and Mood Recognition
Cited by 25
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ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
Gou, Z., Shao, Z., Gong, Y., Shen, Y., Yang, Y., Huang, M., Duan, N., & Chen, W. (2023) · arXiv
Topic ModelingMathematics, Computing, and Information Processing
Cited by 24
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Instruction Pre-Training: Language Models are Supervised Multitask Learners
Cheng, D., Gu, Y., Huang, S., Bi, J., Huang, M., & Wei, F. (2024) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 20
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SafetyBench: Evaluating the Safety of Large Language Models
Zhang, Z., Lei, L., Wu, L., Sun, R., Huang, Y., Long, C., Liu, X., Lei, X., Tang, J., & Huang, M. (2023) · arXiv
Adversarial Robustness in Machine LearningEthics and Social Impacts of AI
Cited by 19
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FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data
Xie, Y., Wang, Z., Li, Y., Ding, B., Gürel, N. M., Zhang, C., Huang, M., Lin, W., & Zhou, J. (2021) · Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
Recommender Systems and TechniquesAdvanced Graph Neural Networks
Cited by 18
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A Survey of Post-Training Scaling in Large Language Models
Lai, H., Liu, X., Gao, J., Cheng, J., Qi, Z., Xu, Y., Yao, S., Zhang, D., Du, J., Hou, Z., et al. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 8
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GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
5 Team, Zeng, A., Lv, X., Zheng, Q., Hou, Z., Chen, B., Xie, C., Wang, C., Yin, D., Zeng, H., et al. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 6
- Verified · note
Agent-SafetyBench: Evaluating the Safety of LLM Agents
Zhang, Z., Cui, S., Lu, Y., Zhou, J., Yang, J., Wang, H., & Huang, M. (2024) · arXiv
Adversarial Robustness in Machine LearningEthics and Social Impacts of AI
Cited by 6
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Language Models Learn to Mislead Humans via RLHF
Wen, J., Zhong, R., Khan, A., Perez, E., Steinhardt, J., Huang, M., Bowman, S. R., He, H., & Feng, S. (2024) · arXiv
Adversarial Robustness in Machine LearningTopic Modeling
Cited by 4
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