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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 1
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portfolio
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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.
From Bag of Sentences to Document: Distantly Supervised Relation Extraction via Machine Reading Comprehension
Published in arXiv:2012.04334, 2020
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Recommended citation: Lingyong Yan, Xianpei Han, Le Sun, Fangchao Liu, Ning Bian, "From Bag of Sentences to Document: Distantly Supervised Relation Extraction via Machine Reading Comprehension." arXiv:2012.04334, 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.
Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers
Published in arXiv:2311.01555, 2023
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Recommended citation: Weiwei Sun, Zheng Chen, Xinyu Ma, Lingyong Yan, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren, "Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers." arXiv:2311.01555, 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.
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
Published in arXiv:2402.11176, 2024
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Recommended citation: Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten {de Rijke}, Zhaochun Ren, "KnowTuning: Knowledge-aware Fine-tuning for Large Language Models." arXiv:2402.11176, 2024.
Chain of Tools: Large Language Model Is an Automatic Multi-tool Learner
Published in arXiv:2405.16533, 2024
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Recommended citation: Zhengliang Shi, Shen Gao, Xiuyi Chen, Yue Feng, Lingyong Yan, Haibo Shi, Dawei Yin, Zhumin Chen, Suzan Verberne, Zhaochun Ren, "Chain of Tools: Large Language Model Is an Automatic Multi-tool Learner." arXiv:2405.16533, 2024.
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.
Learning to Use Tools via Cooperative and Interactive Agents
Published in arXiv:2403.03031, 2024
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Recommended citation: Zhengliang Shi, Shen Gao, Xiuyi Chen, Lingyong Yan, Haibo Shi, Dawei Yin, Zhumin Chen, Pengjie Ren, Suzan Verberne, Zhaochun Ren, "Learning to Use Tools via Cooperative and Interactive Agents." arXiv:2403.03031, 2024.
The Real, the Better: Aligning Large Language Models with Online Human Behaviors
Published in arXiv:2405.00578, 2024
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Recommended citation: Guanying Jiang, Lingyong Yan, Haibo Shi, Dawei Yin, "The Real, the Better: Aligning Large Language Models with Online Human Behaviors." arXiv:2405.00578, 2024.
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator
Published in arXiv:2405.18111, 2024
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Recommended citation: Junda Zhu, Lingyong Yan, Haibo Shi, Dawei Yin, Lei Sha, "ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator." arXiv:2405.18111, 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
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
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