Qiu, Xipeng
Fudan University
37 papers on CoChatORCID 0000-0001-7163-5247
Most cited papers
- Verified
Pre-trained models for natural language processing: A survey
Qiu, X., Sun, T., Xu, Y., Shao, Y., Dai, N., & Huang, X. (2020) · Science China Technological Sciences
Topic ModelingNatural Language Processing Techniques
Cited by 1,591
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How to Fine-Tune BERT for Text Classification?
Sun, C., Qiu, X., Xu, Y., & Huang, X. (2019) · Lecture Notes in Computer Science
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 1,534
- Verified
A survey of transformers
Lin, T., Wang, Y., Liu, X., & Qiu, X. (2022) · AI Open
Topic ModelingAdvanced Neural Network Applications
Cited by 1,422
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A Survey of Transformers
Lin, T., Wang, Y., Liu, X., & Qiu, X. (2021) · arXiv
Topic ModelingAdvanced Neural Network Applications
Cited by 1,420
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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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The Rise and Potential of Large Language Model Based Agents: A Survey
Xi, Z., Chen, W., Guo, X., He, W., Ding, Y., Hong, B., Zhang, M., Wang, J., Jin, S., Zhou, E., et al. (2023) · arXiv
Artificial Intelligence ApplicationsTopic Modeling
Cited by 972
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The rise and potential of large language model based agents: a survey
Xi, Z., Chen, W., Guo, X., He, W., Ding, Y., Hong, B., Zhang, M., Wang, J., Jin, S., Zhou, E., et al. (2025) · Science China Information Sciences
Artificial Intelligence ApplicationsTopic Modeling
Cited by 970
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A Unified Generative Framework for Various NER Subtasks
Yan, H., Gui, T., Dai, J., Guo, Q., Zhang, Z., & Qiu, X. (2021) · 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)
Topic ModelingNatural Language Processing Techniques
Cited by 299
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SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities
Zhang, D., Li, S., Zhang, X., Zhan, J., Wang, P., Zhou, Y., & Qiu, X. (2023) · arXiv
Multimodal Machine Learning ApplicationsSpeech and dialogue systems
Cited by 189
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CoLAKE: Contextualized Language and Knowledge Embedding
Sun, T., Shao, Y., Qiu, X., Guo, Q., Hu, Y., Huang, X., & Zhang, Z. (2020) · Proceedings of the 28th International Conference on Computational Linguistics
Topic ModelingAdvanced Graph Neural Networks
Cited by 185
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QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization
Zhong, M., Yin, D., Yu, T., Zaidi, A., Mutuma, M., Jha, R., Awadallah, A. H., Celikyilmaz, A., Liu, Y., Qiu, X., et al. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Topic ModelingNatural Language Processing Techniques
Cited by 178
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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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Character-LLM: A Trainable Agent for Role-Playing
Shao, Y., Li, L., Dai, J., & Qiu, X. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Speech and dialogue systemsTopic Modeling
Cited by 140
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Character-LLM: A Trainable Agent for Role-Playing
Shao, Y., Li, L., Dai, J., & Qiu, X. (2023) · arXiv
Speech and dialogue systemsTopic Modeling
Cited by 140
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Knowledge Graph Representation with Jointly Structural and Textual Encoding
Xu, J., Qiu, X., Chen, K., & Huang, X. (2017) · Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence
Advanced Graph Neural NetworksTopic Modeling
Cited by 121
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Black-Box Tuning for Language-Model-as-a-Service
Sun, T., Shao, Y., Qian, H., Huang, X., & Qiu, X. (2022) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 100
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Do Large Language Models Know What They Don’t Know?
Yin, Z., Sun, Q., Guo, Q., Wu, J., Qiu, X., & Huang, X. (2023) · Findings of the Association for Computational Linguistics: ACL 2023
Topic ModelingNatural Language Processing Techniques
Cited by 75
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Do Large Language Models Know What They Don't Know?
Yin, Z., Sun, Q., Guo, Q., Wu, J., Qiu, X., & Huang, X. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 75
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SeqXGPT: Sentence-Level AI-Generated Text Detection
Wang, P., Li, L., Ren, K., Jiang, B., Zhang, D., & Qiu, X. (2023) · arXiv
Authorship Attribution and ProfilingDigital Media Forensic Detection
Cited by 53
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SeqXGPT: Sentence-Level AI-Generated Text Detection
Wang, P., Li, L., Ren, K., Jiang, B., Zhang, D., & Qiu, X. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Authorship Attribution and ProfilingDigital Media Forensic Detection
Cited by 53
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EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education
Dan, Y., Lei, Z., Gu, Y., Li, Y., Yin, J., Lin, J., Ye, L., Tie, Z., Zhou, Y., Wang, Y., et al. (2023) · arXiv
Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive Learning
Cited by 41
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Can AI Assistants Know What They Don't Know?
Cheng, Q., Sun, T., Liu, X., Zhang, W., Yin, Z., Li, S., Li, L., He, Z., Chen, K., & Qiu, X. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 33
- Verified
InternLM2 Technical Report
Cai, Z., Cao, M., Chen, H., Chen, K., Chen, K., Chen, X., Chen, X., Chen, Z., Chen, Z., Chu, P., et al. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 30
- Verified
Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication
Yin, Z., Sun, Q., Chang, C., Guo, Q., Dai, J., Huang, X., & Qiu, X. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Topic ModelingNatural Language Processing Techniques
Cited by 26
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