---
title: "Yankai Lin — all works — Elamur Research"
description: "All 45 works of Yankai Lin in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/yankai-lin/works/"
---
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# Yankai Lin — all works

45 works · [← Yankai Lin](https://md.research.elamur.ai/free/en/authors/yankai-lin/)

1. **[Learning Entity and Relation Embeddings for Knowledge Graph Completion ↗](https://doi.org/10.1609/aaai.v29i1.9491) AAAI 2015 · no summary yet**Yankai Lin et al.*2015 · 3,875 citations*
2. **[A Survey on Large Language Model based Autonomous Agents](https://md.research.elamur.ai/free/en/papers/wang-2023-survey-large-language-model-based/) [Frontiers of Computer Science](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/)**Lei Wang, Chen Ma, Xueyang Feng, et al.*2023 · 2,284 citations*
3. **[Neural Relation Extraction with Selective Attention over Instances ↗](https://aclanthology.org/P16-1200/) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yankai Lin et al.*2016 · 1,212 citations*
4. **[Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View ↗](https://doi.org/10.1609/aaai.v34i04.5747) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Deli Chen et al.*2020 · 1,067 citations*
5. **[DocRED: A Large-Scale Document-Level Relation Extraction Dataset ↗](https://aclanthology.org/P19-1074/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Yuan Yao et al.*2019 · 725 citations*
6. **[Modeling Relation Paths for Representation Learning of Knowledge Bases](https://md.research.elamur.ai/free/en/papers/lin-2015-modeling-relation-paths-representation-learning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yankai Lin, Zhiyuan Liu, Huanbo Luan, et al.*2015 · 702 citations*
7. [**ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs arXiv:2307.16789**Yujia Qin, Shihao Liang, Yining Ye, et al.*2023 · 589 citations*](https://md.research.elamur.ai/free/en/papers/qin-2023-toolllm-facilitating-large-language-models/)
8. **[OpenKE: An Open Toolkit for Knowledge Embedding ↗](https://aclanthology.org/D18-2024/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations · no summary yet**Xu Han et al.*2018 · 387 citations*
9. **[Neural Sentiment Classification with User and Product Attention ↗](https://aclanthology.org/D16-1171/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Huimin Chen et al.*2016 · 387 citations*
10. **[Tool Learning with Foundation Models](https://md.research.elamur.ai/free/en/papers/qin-2023-tool-learning-foundation-models/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Yujia Qin, Shengding Hu, Yankai Lin, et al.*2023 · 383 citations*
11. **[MAVEN: A Massive General Domain Event Detection Dataset](https://md.research.elamur.ai/free/en/papers/wang-2020-maven-massive-general-domain-event/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xiaozhi Wang, Ziqi Wang, Xu Han, et al.*2020 · 261 citations*
12. **[Learning from Context or Names? An Empirical Study on Neural Relation Extraction](https://md.research.elamur.ai/free/en/papers/peng-2020-learning-context-or-names-empirical/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hao Peng, Tianyu Gao, Xu Han, et al.*2020 · 255 citations*
13. **[Coreferential Reasoning Learning for Language Representation](https://md.research.elamur.ai/free/en/papers/ye-2020-coreferential-reasoning-learning-language-representation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Deming Ye, Yankai Lin, Jiaju Du, et al.*2020 · 228 citations*
14. **[Graph Neural Networks with Generated Parameters for Relation Extraction ↗](https://aclanthology.org/P19-1128/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Hao Zhu et al.*2019 · 205 citations*
15. **[Denoising Distantly Supervised Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/lin-2018-denoising-distantly-supervised-open-domain/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yankai Lin, Haozhe Ji, Zhiyuan Liu, et al.*2018 · 199 citations*
16. **[Packed Levitated Marker for Entity and Relation Extraction](https://md.research.elamur.ai/free/en/papers/ye-2022-packed-levitated-marker-entity-relation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Deming Ye, Yankai Lin, Peng Li, et al.*2022 · 189 citations*
17. **[Large Language Diffusion Models](https://md.research.elamur.ai/free/en/papers/nie-2025-large-language-diffusion-models/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Shen Nie, Fengqi Zhu, Zebin You, et al.*2025 · 178 citations*
18. **[NumNet: Machine Reading Comprehension with Numerical Reasoning ↗](https://aclanthology.org/D19-1251/) 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 yet**Qiu Ran et al.*2019 · 166 citations*
19. **[CLEVE: Contrastive Pre-training for Event Extraction](https://md.research.elamur.ai/free/en/papers/wang-2021-cleve-contrastive-pre-training-event/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziqi Wang, Xiaozhi Wang, Xu Han, et al.*2021 · 155 citations*
20. **[Continual Relation Learning via Episodic Memory Activation and Reconsolidation](https://md.research.elamur.ai/free/en/papers/han-2020-continual-relation-learning-episodic-memory/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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 Learning](https://md.research.elamur.ai/free/en/papers/qin-2021-erica-improving-entity-relation-understanding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yujia Qin, Yankai Lin, Ryuichi Takanobu, et al.*2021 · 139 citations*
22. **[Neural Relation Extraction with Multi-lingual Attention ↗](https://aclanthology.org/P17-1004/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yankai Lin, Zhiyuan Liu, Maosong Sun*2017 · 136 citations*
23. **[XQA: A Cross-lingual Open-domain Question Answering Dataset ↗](https://aclanthology.org/P19-1227/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Jiahua Liu et al.*2019 · 132 citations*
24. **[InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory](https://md.research.elamur.ai/free/en/papers/xiao-2024-infllm-training-free-long-context/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**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 ↗](https://aclanthology.org/2022.findings-acl.282/) Findings of the Association for Computational Linguistics: ACL 2022 · no summary yet**Xin Lv et al.*2022 · 117 citations*
26. **[MoEfication: Transformer Feed-forward Layers are Mixtures of Experts](https://md.research.elamur.ai/free/en/papers/zhang-2022-moefication-transformer-feed-forward-layers/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, et al.*2022 · 115 citations*
27. **[Incorporating Relation Paths in Neural Relation Extraction ↗](https://aclanthology.org/D17-1186/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Wenyuan Zeng et al.*2017 · 114 citations*
28. **[Don't Make Your LLM an Evaluation Benchmark Cheater ↗](https://arxiv.org/abs/2311.01964) arXiv:2311.01964 · no summary yet**Kun Zhou et al.*2023 · 112 citations*
29. **[RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models](https://md.research.elamur.ai/free/en/papers/yang-2021-rap-robustness-aware-perturbations-defending/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wenkai Yang, Yankai Lin, Peng Li, et al.*2021 · 112 citations*
30. **[Rethinking Stealthiness of Backdoor Attack against NLP Models ↗](https://aclanthology.org/2021.acl-long.431/) 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 yet**Wenkai Yang et al.*2021 · 108 citations*
31. **[On Transferability of Prompt Tuning for Natural Language Processing ↗](https://aclanthology.org/2022.naacl-main.290/) Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Yusheng Su et al.*2022 · 107 citations*
32. **[More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction ↗](https://aclanthology.org/2020.aacl-main.75/) 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 yet**Xu Han et al.*2020 · 106 citations*
33. **[MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction](https://md.research.elamur.ai/free/en/papers/wang-2022-maven-ere-unified-large-scale/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xiaozhi Wang, Yulin Chen, Ning Ding, et al.*2022 · 96 citations*
34. **[Advancing LLM Reasoning Generalists with Preference Trees ↗](https://arxiv.org/abs/2404.02078) arXiv:2404.02078 · no summary yet**Lifan Yuan et al.*2024 · 94 citations*
35. **[DebugBench: Evaluating Debugging Capability of Large Language Models ↗](https://aclanthology.org/2024.findings-acl.247/) Findings of the Association for Computational Linguistics: ACL 2024 · no summary yet**Runchu Tian et al.*2024 · 89 citations*
36. **[Fully Hyperbolic Neural Networks ↗](https://aclanthology.org/2022.acl-long.389/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Weize Chen et al.*2022 · 68 citations*
37. **[User Behavior Simulation with Large Language Model based Agents ↗](https://arxiv.org/abs/2306.02552) arXiv:2306.02552 · no summary yet**Lei Wang et al.*2023 · 64 citations*
38. **[Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation ↗](https://aclanthology.org/2020.acl-main.277/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Qiu Ran et al.*2020 · 54 citations*
39. **[LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models](https://md.research.elamur.ai/free/en/papers/zhu-2026-llada-1-5-variance-reduced/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fengqi Zhu, Rongzhen Wang, Shen Nie, et al.*2026 · 49 citations*
40. **[Towards Thinking-Optimal Scaling of Test-Time Compute for LLM Reasoning](https://md.research.elamur.ai/free/en/papers/yang-2025-towards-thinking-optimal-scaling-test/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Wenkai Yang, Shuming Ma, Yankai Lin, et al.*2025 · 43 citations*
41. [**Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages arXiv:2308.12038**Jinyi Hu, Yuan Yao, Chongyi Wang, et al.*2023 · 43 citations*](https://md.research.elamur.ai/free/en/papers/hu-2023-large-multilingual-models-pivot-zero/)
42. **[Towards Effective and Efficient Continual Pre-training of Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2025-effective-efficient-continual-pre-training/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jie Chen, Zhipeng Chen, Jiapeng Wang, et al.*2025 · 29 citations*
43. **[Beyond the Surface: Measuring Self-Preference in LLM Judgments](https://md.research.elamur.ai/free/en/papers/chen-2025-beyond-surface-measuring-self-preference/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhi-Yuan Chen, Hao Wang, Xinyu Zhang, et al.*2025 · 10 citations*
44. **[ICLEval: Evaluating In-Context Learning Ability of Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2025-icleval-evaluating-context-learning-ability/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Wentong Chen, Yankai Lin, ZhenHao Zhou, et al.*2025 · 7 citations*
45. **[Forest Before Trees: Latent Superposition for Efficient Visual Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-forest-before-trees-latent-superposition/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yubo Wang, Juntian Zhang, Yichen Wu, et al.*2026 · 3 citations*