Hello, I am Tingchen Fu (δ»ε»·η in Chinese), a 2nd-year master student in Gaoling School of Artificial Intelligence, Renmin University of China as an NLP researcher and a fanatic believer on AGI, advised by Xueliang Zhao and Rui Yan. I occasionally have short excursions to the industry world. Currently I am an intern at Tencent AI Lab, mentored by Dr. Lemao Liu and work in close colleboration with Dr. Deng Cai. I am actively seeking a PhD position in NLP starting at Fall 2025. If you are interested in my research, please feel free to contact.
I am genelly interested in machine learning, language technology, and their intersection, with a special emphasis on understanding and unleashing the full potential of Large Language Models. Specifically, I am currently interested in the following topics:
- the alignment of large langauge model.
- Data/Compute efficient language model training.
- Understanding and mitigating the limitations of LLM like social bias, privacy leakage, and hallucination.
π₯ News
- 2024.01: Β ππ I got one paper accepted by ICLRβ24. Thanks for my colleborators! See you at Vienna.
- 2023.09: Β ππ Our survey on LLM hallucination: Sirenβs Song in the AI Ocean is coming out!
- 2023.05: Β ππ I got one paper accepted by the findings of EMNLPβ23. Thanks for my colleborators! See you at Singapore.
- 2023.05: Β ππ I got one paper accepted by KDDβ23. Thanks for my colleborators! See you at Longbeach.
- 2023.05: Β ππ I got two papers accepeted by ACL and the findings of ACL. Thanks for my colleborators!
- 2023.02: Β ππ Join the Tencent AI Lab as an research intern, advised by Dr. Lemao Liu
- 2022.06: Β ππ Obtain my Bachelor of Engineering from Renmin University of China.
π Educations
- 2022.09 - present, master student in the Gaoling School of Artificial Intelligence, Renmin University of China.
- 2018.09 - 2022.06, undergraduate student in the School of Information, Renmin University of China.
πΌ Internships
- 2023.02 - 2023.03, Tencent AI Lab, advised by Dr. Lemao Liu.
π Preprints
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Sirenβs Song in the AI Ocean: A Survey on Hallucination in Large Language Models. [paper]
Yue Zhang, Yafu Li, Leyang Cui, Deng Cai, Lemao Liu, Tingchen Fu, Xinting Huang, Enbo Zhao, Yu Zhang, Yulong Chen, Longyue Wang, Anh Tuan Luu, Wei Bi, Freda Shi, Shuming Shi
π Publications
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The Reasonableness Behind Unreasonable Translation Capability of Large Language Model [paper]
Tingchen Fu, Lemao Liu, Deng Cai, Guoping Huang, Shuming Shi, Rui Yan
The Twelfth International Conference on Learning Representations (ICLR 2024)
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Logic Unveils Truth, While Disguise Obscures It: Transition Logic Augmented Response Selection for Multi-Turn Dialogue [paper]
Tingchen Fu(co-first author), Xueliang Zhao, Lemao Liu, Rui Yan
Findings of the Association for Computational Linguistics: EMNLP 2023
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Delving into Global Dialogue Structures: Structure Planning Augmented Response Selection for Multi-turn Conversations [paper]
Tingchen Fu(co-first author), Xueliang Zhao, and Rui Yan
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2023)
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On the Compositional Generalization in Versatile Open-domain Dialogue [paper]
Tingchen Fu(co-first author), Xueliang Zhao, Lemao Liu, Rui Yan
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023)
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SORTIE: Dependency-Aware Symbolic Reasoning for Logical Data-to-text Generation [paper]
Xueliang Zhao, Tingchen Fu(co-first author), Lemao Liu, Lingpeng Kong, Shuming Shi, Rui Yan
Findings of the Association for Computational Linguistics: ACL 2023
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There Is No Standard Answer: Knowledge-Grounded Dialogue Generation with Adversarial Activated Multi-Reference Learning [paper]
Xueliang Zhao, Tingchen Fu(co-first author), Chongyang Tao, Rui Yan
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022)
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Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure [paper]
Xueliang Zhao, Lemao Liu, Tingchen Fu, Shuming Shi, Dongyan Zhao, Rui Yan
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022)
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Learning to Express in Knowledge-Grounded Conversation [paper]
Xueliang Zhao, Tingchen Fu, Chongyang Tao, Wei Wu, Dongyan Zhao, Rui Yan
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2022)
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There Are a Thousand Hamlets in a Thousand Peopleβs Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memory. [paper].
Tingchen Fu(co-first author), Xueliang Zhao, Chongyang Tao, Ji-Rong Wen, Rui Yan
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL2022)
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Learning towards conversational ai: A survey [paper]
Tingchen Fu, Shen Gao, Xueliang Zhao, Ji-rong Wen, Rui Yan
The Journal of AI open.
π Honors and Awards
- Outstanding Graduate, Renmin University of China, 2022
- National Scholarship, the Minister of Education, 2021
- National Scholarship, the Minister of Education, 2020
- Honorable Mention of Interdisciplinary Contest in Modeling, 2019.
π Academic Services
- Reviewer for Conferences: NeurIPS 2022, ICML 2023, NeurIPS 2023.