Tu, Zhaopeng
Tencent (China)
16 papers on CoChatORCID 0000-0002-7900-6055
Most cited papers
- Verified
Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate
Liang, T., He, Z., Jiao, W., Wang, X., Wang, Y., Wang, R., Yang, Y., Shi, S., & Tu, Z. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Topic ModelingNatural Language Processing Techniques
Cited by 1,062
- Verified
Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate
Liang, T., He, Z., Jiao, W., Wang, X., Wang, Y., Wang, R., Yang, Y., Shi, S., & Tu, Z. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 320
- Verified
On the localness of software
Tu, Z., Su, Z., & Devanbu, P. (2014) · Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering
Software Engineering ResearchNatural Language Processing Techniques
Cited by 238
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Convolutional Self-Attention Networks
Yang, B., Wang, L., Wong, D. F., Chao, L. S., & Tu, Z. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 128
- Verified
Rethinking the Value of Transformer Components
Wang, W., & Tu, Z. (2020) · Proceedings of the 28th International Conference on Computational Linguistics
Natural Language Processing TechniquesTopic Modeling
Cited by 39
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Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration
Lyu, C., Wu, M., Wang, L., Huang, X., Liu, B., Du, Z., Shi, S., & Tu, Z. (2023) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 38
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CACHECA: A Cache Language Model Based Code Suggestion Tool
Franks, C., Tu, Z., Devanbu, P., & Hellendoorn, V. (2015) · 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 30
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Emotionally Numb or Empathetic? Evaluating How LLMs Feel Using EmotionBench
Huang, J.-T., Lam, M. H., Li, E. J., Ren, S., Wang, W., Jiao, W., Tu, Z., & Lyu, M. R. (2023) · arXiv
Emotion and Mood RecognitionSentiment Analysis and Opinion Mining
Cited by 14
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GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Yuan, Y., Jiao, W., Wang, W., Huang, J.-T., He, P., Shi, S., & Tu, Z. (2023) · arXiv
Adversarial Robustness in Machine LearningEthics and Social Impacts of AI
Cited by 14
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Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
Chen, X., Xu, J., Liang, T., He, Z., Pang, J., Yu, D., Song, L., Liu, Q., Zhou, M., Zhang, Z., et al. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 3
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Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models
He, Z., Zhou, B., Hao, H., Liu, A., Wang, X., Tu, Z., Zhang, Z., & Wang, R. (2024) · arXiv
Advanced Steganography and Watermarking TechniquesAdversarial Robustness in Machine Learning
Cited by 3
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Human Cognitive Benchmarks Reveal Foundational Visual Gaps in MLLMs
Huang, J.-T., Dai, D., Huang, J.-Y., Yuan, Y., Liu, X., Wang, W., Jiao, W., He, P., Tu, Z., & Duan, H. (2025) · arXiv
Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications
Cited by 2
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The Hunger Game Debate: On the Emergence of Over-Competition in Multi-Agent Systems
Ma, X., Ma, R., Chen, X., Shi, Z., Wang, M., Huang, J.-T., Yang, Q., Wang, W., Ye, F., Jiang, Q., et al. (2025) · arXiv
Multi-Agent Systems and NegotiationEthics and Social Impacts of AI
Cited by 1
- Verified · note
On the Shortcut Learning in Multilingual Neural Machine Translation
Wang, W., Jiao, W., Huang, J.-T., Tu, Z., & Lyu, M. R. (2023) · SSRN Electronic Journal
Natural Language Processing TechniquesTopic Modeling
Cited by 1
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SkillNet: Create, Evaluate, and Connect AI Skills
Liang, Y., Zhong, R., Xu, H., Jiang, C., Zhong, Y., Fang, R., Gu, J.-C., Deng, S., Yao, Y., Wang, M., et al. (2026) · arXiv
AI-based Problem Solving and PlanningReinforcement Learning in Robotics
Cited by 1
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SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning
Chen, J., Zhang, B., Ma, R., Wang, P., Liang, X., Tu, Z., Li, X., & Wong, K.-Y. K. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 0
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