Dr. Lingyong Yan

Dr. Lingyong Yan

Research Scientist in Baidu Search.

Posts by Collection

portfolio

publications

Learning to Bootstrap for Entity Set Expansion

Published in In the proceedings of Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019

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Recommended citation: Lingyong Yan, Xianpei Han, Le Sun, Ben He, "Learning to Bootstrap for Entity Set Expansion." In the proceedings of Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019.

End-to-End Bootstrapping Neural Network for Entity Set Expansion

Published in In the proceedings of Proceedings of the AAAI Conference on Artificial Intelligence, 2020

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Recommended citation: Lingyong Yan, Xianpei Han, Ben He, Le Sun, "End-to-End Bootstrapping Neural Network for Entity Set Expansion." In the proceedings of Proceedings of the AAAI Conference on Artificial Intelligence, 2020.

Global Bootstrapping Neural Network for Entity Set Expansion

Published in In the proceedings of Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

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Recommended citation: Lingyong Yan, Xianpei Han, Ben He, Le Sun, "Global Bootstrapping Neural Network for Entity Set Expansion." In the proceedings of Findings of the Association for Computational Linguistics: EMNLP 2020, 2020.

Element Intervention for Open Relation Extraction

Published in In the proceedings of 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), 2021

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Recommended citation: Fangchao Liu, Lingyong Yan, Hongyu Lin, Xianpei Han, Le Sun, "Element Intervention for Open Relation Extraction." In the proceedings of 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), 2021.

Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases

Published in In the proceedings of 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), 2021

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Recommended citation: Boxi Cao, Hongyu Lin, Xianpei Han, Le Sun, Lingyong Yan, Meng Liao, Tong Xue, Jin Xu, "Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases." In the proceedings of 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), 2021.

Progressive Adversarial Learning for Bootstrapping: A Case Study on Entity Set Expansion

Published in In the proceedings of Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

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Recommended citation: Lingyong Yan, Xianpei Han, Le Sun, "Progressive Adversarial Learning for Bootstrapping: A Case Study on Entity Set Expansion." In the proceedings of Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021.

Reinforcement Learning for Clue Selection in Web-Based Entity Translation Mining

Published in In the proceedings of Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence, 2021

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Recommended citation: Lingyong Yan, Xianpei Han, Le Sun, "Reinforcement Learning for Clue Selection in Web-Based Entity Translation Mining." In the proceedings of Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence, 2021.

From Learning-to-Match to Learning-to-Discriminate:Global Prototype Learning for Few-shot Relation Classification

Published in In the proceedings of Proceedings of the 20th Chinese National Conference on Computational Linguistics, 2021

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Recommended citation: Liu Fangchao, Xiao Xinyan, Yan Lingyong, Lin Hongyu, Han Xianpei, Dai Dai, Wu Hua, Sun Le, "From Learning-to-Match to Learning-to-Discriminate:Global Prototype Learning for Few-shot Relation Classification." In the proceedings of Proceedings of the 20th Chinese National Conference on Computational Linguistics, 2021.

Learning to Tokenize for Generative Retrieval

Published in In the proceedings of Advances in Neural Information Processing Systems, 2023

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Recommended citation: Weiwei Sun, Lingyong Yan, Zheng Chen, Shuaiqiang Wang, Haichao Zhu, Pengjie Ren, Zhumin Chen, Dawei Yin, Maarten Rijke, Zhaochun Ren, "Learning to Tokenize for Generative Retrieval." In the proceedings of Advances in Neural Information Processing Systems, 2023.

DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment

Published in In the proceedings of Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

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Recommended citation: Yukun Zhao, Lingyong Yan, Weiwei Sun, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin, "DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment." In the proceedings of Findings of the Association for Computational Linguistics: EMNLP 2023, 2023.

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Published in In the proceedings of Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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Recommended citation: Weiwei Sun, Lingyong Yan, Xinyu Ma, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren, "Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents." In the proceedings of Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023.

Improving the Robustness of Large Language Models via Consistency Alignment

Published in In the proceedings of Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 2024

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Recommended citation: Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Shuaiqiang Wang, Chong Meng, Zhicong Cheng, Zhaochun Ren, Dawei Yin, "Improving the Robustness of Large Language Models via Consistency Alignment." In the proceedings of Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 2024.

Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method

Published in In the proceedings of Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

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Recommended citation: Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin, "Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method." In the proceedings of Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024.

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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