🧑‍🔬 Yankai Lin — all works

45 works · ← Yankai Lin

1. Learning Entity and Relation Embeddings for Knowledge Graph Completion ↗AAAI 2015 · no summary yetYankai Lin et al.2015 · 3,875 citations
2. A Survey on Large Language Model based Autonomous AgentsFrontiers of Computer ScienceLei Wang, Chen Ma, Xueyang Feng, et al.2023 · 2,284 citations
3. Neural Relation Extraction with Selective Attention over Instances ↗Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYankai Lin et al.2016 · 1,212 citations
4. Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetDeli Chen et al.2020 · 1,067 citations
5. DocRED: A Large-Scale Document-Level Relation Extraction Dataset ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetYuan Yao et al.2019 · 725 citations
6. Modeling Relation Paths for Representation Learning of Knowledge BasesConference on Empirical Methods in Natural Language Processing (EMNLP)Yankai Lin, Zhiyuan Liu, Huanbo Luan, et al.2015 · 702 citations
7. ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIsarXiv:2307.16789Yujia Qin, Shihao Liang, Yining Ye, et al.2023 · 589 citations
8. OpenKE: An Open Toolkit for Knowledge Embedding ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations · no summary yetXu Han et al.2018 · 387 citations
9. Neural Sentiment Classification with User and Product Attention ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetHuimin Chen et al.2016 · 387 citations
10. Tool Learning with Foundation ModelsACM Computing SurveysYujia Qin, Shengding Hu, Yankai Lin, et al.2023 · 383 citations
11. MAVEN: A Massive General Domain Event Detection DatasetConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaozhi Wang, Ziqi Wang, Xu Han, et al.2020 · 261 citations
12. Learning from Context or Names? An Empirical Study on Neural Relation ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP)Hao Peng, Tianyu Gao, Xu Han, et al.2020 · 255 citations
13. Coreferential Reasoning Learning for Language RepresentationConference on Empirical Methods in Natural Language Processing (EMNLP)Deming Ye, Yankai Lin, Jiaju Du, et al.2020 · 228 citations
14. Graph Neural Networks with Generated Parameters for Relation Extraction ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetHao Zhu et al.2019 · 205 citations
15. Denoising Distantly Supervised Open-Domain Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Yankai Lin, Haozhe Ji, Zhiyuan Liu, et al.2018 · 199 citations
16. Packed Levitated Marker for Entity and Relation ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Deming Ye, Yankai Lin, Peng Li, et al.2022 · 189 citations
17. Large Language Diffusion ModelsConference on Neural Information Processing Systems (NeurIPS)Shen Nie, Fengqi Zhu, Zebin You, et al.2025 · 178 citations
18. NumNet: Machine Reading Comprehension with Numerical Reasoning ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetQiu Ran et al.2019 · 166 citations
19. CLEVE: Contrastive Pre-training for Event ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Ziqi Wang, Xiaozhi Wang, Xu Han, et al.2021 · 155 citations
20. Continual Relation Learning via Episodic Memory Activation and ReconsolidationAnnual Meeting of the Association for Computational Linguistics (ACL)Xu Han, Yi Dai, Tianyu Gao, et al.2020 · 152 citations
21. ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yujia Qin, Yankai Lin, Ryuichi Takanobu, et al.2021 · 139 citations
22. Neural Relation Extraction with Multi-lingual Attention ↗Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYankai Lin, Zhiyuan Liu, Maosong Sun2017 · 136 citations
23. XQA: A Cross-lingual Open-domain Question Answering Dataset ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetJiahua Liu et al.2019 · 132 citations
24. InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context MemoryConference on Neural Information Processing Systems (NeurIPS)Chaojun Xiao, Pengle Zhang, Xu Han, et al.2024 · 126 citations
25. Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach ↗Findings of the Association for Computational Linguistics: ACL 2022 · no summary yetXin Lv et al.2022 · 117 citations
26. MoEfication: Transformer Feed-forward Layers are Mixtures of ExpertsFindings of the Association for Computational LinguisticsZhengyan Zhang, Yankai Lin, Zhiyuan Liu, et al.2022 · 115 citations
27. Incorporating Relation Paths in Neural Relation Extraction ↗Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yetWenyuan Zeng et al.2017 · 114 citations
28. Don't Make Your LLM an Evaluation Benchmark Cheater ↗arXiv:2311.01964 · no summary yetKun Zhou et al.2023 · 112 citations
29. RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Wenkai Yang, Yankai Lin, Peng Li, et al.2021 · 112 citations
30. Rethinking Stealthiness of Backdoor Attack against NLP Models ↗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) · no summary yetWenkai Yang et al.2021 · 108 citations
31. On Transferability of Prompt Tuning for Natural Language Processing ↗Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetYusheng Su et al.2022 · 107 citations
32. More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction ↗Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing · no summary yetXu Han et al.2020 · 106 citations
33. MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaozhi Wang, Yulin Chen, Ning Ding, et al.2022 · 96 citations
34. Advancing LLM Reasoning Generalists with Preference Trees ↗arXiv:2404.02078 · no summary yetLifan Yuan et al.2024 · 94 citations
35. DebugBench: Evaluating Debugging Capability of Large Language Models ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetRunchu Tian et al.2024 · 89 citations
36. Fully Hyperbolic Neural Networks ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetWeize Chen et al.2022 · 68 citations
37. User Behavior Simulation with Large Language Model based Agents ↗arXiv:2306.02552 · no summary yetLei Wang et al.2023 · 64 citations
38. Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetQiu Ran et al.2020 · 54 citations
39. LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Fengqi Zhu, Rongzhen Wang, Shen Nie, et al.2026 · 49 citations
40. Towards Thinking-Optimal Scaling of Test-Time Compute for LLM ReasoningConference on Neural Information Processing Systems (NeurIPS)Wenkai Yang, Shuming Ma, Yankai Lin, et al.2025 · 43 citations
41. Large Multilingual Models Pivot Zero-Shot Multimodal Learning across LanguagesarXiv:2308.12038Jinyi Hu, Yuan Yao, Chongyi Wang, et al.2023 · 43 citations
42. Towards Effective and Efficient Continual Pre-training of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jie Chen, Zhipeng Chen, Jiapeng Wang, et al.2025 · 29 citations
43. Beyond the Surface: Measuring Self-Preference in LLM JudgmentsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhi-Yuan Chen, Hao Wang, Xinyu Zhang, et al.2025 · 10 citations
44. ICLEval: Evaluating In-Context Learning Ability of Large Language ModelsInternational Conference on Computational Linguistics (COLING)Wentong Chen, Yankai Lin, ZhenHao Zhou, et al.2025 · 7 citations
45. Forest Before Trees: Latent Superposition for Efficient Visual ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yubo Wang, Juntian Zhang, Yichen Wu, et al.2026 · 3 citations

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