---
title: "Zhiyuan Liu — all works — Elamur Research"
description: "All 110 works of Zhiyuan Liu 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/zhiyuan-liu/works/"
---
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# Zhiyuan Liu — all works

110 works · page 1 of 2 · 1–100 · [← Zhiyuan Liu](https://md.research.elamur.ai/free/en/authors/zhiyuan-liu/)

**1** [2](https://md.research.elamur.ai/free/en/authors/zhiyuan-liu/works/page/2/) [next →](https://md.research.elamur.ai/free/en/authors/zhiyuan-liu/works/page/2/)

1. **[Graph neural networks: A review of methods and applications ↗](https://doi.org/10.1016/j.aiopen.2021.01.001) AI Open · no summary yet**Jie Zhou et al.*2018 · 6,904 citations*
2. **[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*
3. **[ERNIE: Enhanced Language Representation with Informative Entities ↗](https://aclanthology.org/P19-1139/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Zhengyan Zhang et al.*2019 · 1,848 citations*
4. **[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*
5. **[FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation ↗](https://aclanthology.org/D18-1514/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Xu Han et al.*2018 · 878 citations*
6. **[Representation Learning of Knowledge Graphs with Entity Descriptions ↗](https://doi.org/10.1609/aaai.v30i1.10329) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Ruobing Xie et al.*2016 · 776 citations*
7. **[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*
8. **[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*
9. **[Relation Classification via Multi-Level Attention CNNs](https://md.research.elamur.ai/free/en/papers/wang-2016-relation-classification-multi-level-attention/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Linlin Wang, Zhu Cao, Gerard de Melo, et al.*2016 · 578 citations*
10. **[How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence](https://md.research.elamur.ai/free/en/papers/zhong-2020-how-does-nlp-benefit-legal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haoxi Zhong, Chaojun Xiao, Cunchao Tu, et al.*2020 · 518 citations*
11. **[Legal Judgment Prediction via Topological Learning](https://md.research.elamur.ai/free/en/papers/zhong-2018-legal-judgment-prediction-topological-learning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Haoxi Zhong, Zhipeng Guo, Cunchao Tu, et al.*2018 · 480 citations*
12. **[PPT: Pre-trained Prompt Tuning for Few-shot Learning](https://md.research.elamur.ai/free/en/papers/gu-2022-ppt-pre-trained-prompt-tuning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuxian Gu, Xu Han, Zhiyuan Liu, et al.*2022 · 471 citations*
13. **[Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification ↗](https://doi.org/10.1609/aaai.v33i01.33016407) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Tianyu Gao et al.*2019 · 452 citations*
14. **[Topical Word Embeddings ↗](https://doi.org/10.1609/aaai.v29i1.9522) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Yang Liu et al.*2015 · 441 citations*
15. **[Iterative Entity Alignment via Joint Knowledge Embeddings ↗](https://doi.org/10.24963/ijcai.2017/595) International Joint Conference on Artificial Intelligence · no summary yet**Hao Zhu et al.*2017 · 407 citations*
16. [**Enhancing Chat Language Models by Scaling High-quality Instructional Conversations arXiv:2305.14233**Ning Ding, Yulin Chen, Bokai Xu, et al.*2023 · 402 citations*](https://md.research.elamur.ai/free/en/papers/ding-2023-enhancing-chat-language-models-scaling/)
17. **[Lawformer: A Pre-trained Language Model for Chinese Legal Long Documents ↗](https://arxiv.org/abs/2105.03887) arXiv:2105.03887 · no summary yet**Chaojun Xiao et al.*2021 · 396 citations*
18. **[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*
19. **[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*
20. [**CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction arXiv:1807.02478**Chaojun Xiao, Haoxi Zhong, Zhipeng Guo, et al.*2018 · 375 citations*](https://md.research.elamur.ai/free/en/papers/xiao-2018-cail2018-large-scale-legal-dataset/)
21. **[Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification](https://md.research.elamur.ai/free/en/papers/hu-2022-knowledgeable-prompt-tuning-incorporating-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shengding Hu, Ning Ding, Huadong Wang, et al.*2022 · 362 citations*
22. [**ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate arXiv:2308.07201**Chi-Min Chan, Weize Chen, Yusheng Su, et al.*2023 · 359 citations*](https://md.research.elamur.ai/free/en/papers/chan-2023-chateval-better-llm-based/)
23. **[A Unified Model for Word Sense Representation and Disambiguation](https://md.research.elamur.ai/free/en/papers/chen-2014-unified-model-word-sense-representation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xinxiong Chen, Zhiyuan Liu, Maosong Sun*2014 · 359 citations*
24. **[Word-level Textual Adversarial Attacking as Combinatorial Optimization](https://md.research.elamur.ai/free/en/papers/zang-2020-word-level-textual-adversarial-attacking/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuan Zang, Fanchao Qi, Chenghao Yang, et al.*2020 · 340 citations*
25. **[Few-NERD: A Few-shot Named Entity Recognition Dataset](https://md.research.elamur.ai/free/en/papers/ding-2021-few-nerd-few-shot-named/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ning Ding, Guangwei Xu, Yulin Chen, et al.*2021 · 336 citations*
26. **[FewRel 2.0: Towards More Challenging Few-Shot Relation Classification ↗](https://aclanthology.org/D19-1649/) 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**Tianyu Gao et al.*2019 · 334 citations*
27. **[Multi-Channel Graph Neural Network for Entity Alignment ↗](https://aclanthology.org/P19-1140/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Yixin Cao et al.*2019 · 318 citations*
28. **[Image-embodied Knowledge Representation Learning ↗](https://doi.org/10.24963/ijcai.2017/438) International Joint Conference on Artificial Intelligence · no summary yet**Ruobing Xie et al.*2017 · 298 citations*
29. **[GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification](https://md.research.elamur.ai/free/en/papers/zhou-2019-gear-graph-based-evidence-aggregating/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jie Zhou, Xu Han, Cheng Yang, et al.*2019 · 289 citations*
30. **[Fine-grained Fact Verification with Kernel Graph Attention Network](https://md.research.elamur.ai/free/en/papers/liu-2020-fine-grained-fact-verification-kernel/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhenghao Liu, Chenyan Xiong, Maosong Sun, et al.*2020 · 283 citations*
31. **[ONION: A Simple and Effective Defense Against Textual Backdoor Attacks](https://md.research.elamur.ai/free/en/papers/qi-2021-onion-simple-effective-defense-against/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Fanchao Qi, Yangyi Chen, Mukai Li, et al.*2021 · 280 citations*
32. **[OpenPrompt: An Open-source Framework for Prompt-learning](https://md.research.elamur.ai/free/en/papers/ding-2022-openprompt-open-source-framework-prompt/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ning Ding, Shengding Hu, Weilin Zhao, et al.*2022 · 279 citations*
33. **[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*
34. **[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*
35. **[JEC-QA: A Legal-Domain Question Answering Dataset ↗](https://arxiv.org/abs/1911.12011) arXiv:1911.12011 · no summary yet**Haoxi Zhong et al.*2019 · 255 citations*
36. **[CANE: Context-Aware Network Embedding for Relation Modeling ↗](https://aclanthology.org/P17-1158/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Cunchao Tu et al.*2017 · 255 citations*
37. **[Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger](https://md.research.elamur.ai/free/en/papers/qi-2021-hidden-killer-invisible-textual-backdoor/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fanchao Qi, Mukai Li, Yangyi Chen, et al.*2021 · 238 citations*
38. **[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*
39. **[Few-Shot Charge Prediction with Discriminative Legal Attributes](https://md.research.elamur.ai/free/en/papers/hu-2018-few-shot-charge-prediction-discriminative/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Zikun Hu, Xiang Li, Cunchao Tu, et al.*2018 · 221 citations*
40. **[RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback ↗](https://arxiv.org/abs/2312.00849) arXiv:2312.00849 · no summary yet**Tianyu Yu et al.*2023 · 217 citations*
41. **[Adversarial Training for Weakly Supervised Event Detection](https://md.research.elamur.ai/free/en/papers/wang-2019-adversarial-training-weakly-supervised-event/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Xiaozhi Wang, Xu Han, Zhiyuan Liu, et al.*2019 · 210 citations*
42. **[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*
43. **[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*
44. **[Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer](https://md.research.elamur.ai/free/en/papers/qi-2021-mind-style-text-adversarial-backdoor/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Fanchao Qi, Yangyi Chen, Xurui Zhang, et al.*2021 · 189 citations*
45. **[Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/zhang-2020-grounded-conversation-generation-as-guided/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Houyu Zhang, Zhenghao Liu, Chenyan Xiong, et al.*2020 · 183 citations*
46. **[OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction ↗](https://aclanthology.org/D19-3029/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations · no summary yet**Xu Han et al.*2019 · 183 citations*
47. **[Prompt-learning for Fine-grained Entity Typing](https://md.research.elamur.ai/free/en/papers/ding-2022-prompt-learning-fine-grained-entity/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ning Ding, Yulin Chen, Xu Han, et al.*2022 · 181 citations*
48. **[Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention ↗](https://aclanthology.org/D18-1247/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Xu Han et al.*2018 · 181 citations*
49. **[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*
50. **[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*
51. **[MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs ↗](https://aclanthology.org/2020.acl-main.285/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Jifan Yu et al.*2020 · 155 citations*
52. **[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*
53. **[Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction ↗](https://doi.org/10.1609/aaai.v34i01.5479) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Haoxi Zhong et al.*2020 · 149 citations*
54. **[Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval ↗](https://aclanthology.org/P18-1223/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Zhenghao Liu et al.*2018 · 144 citations*
55. **[Improved Word Representation Learning with Sememes ↗](https://aclanthology.org/P17-1187/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yilin Niu et al.*2017 · 140 citations*
56. **[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*
57. **[Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment ↗](https://aclanthology.org/2020.emnlp-main.515/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Zhiyuan Liu et al.*2020 · 136 citations*
58. **[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*
59. **[Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution ↗](https://aclanthology.org/2021.acl-long.377/) 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**Fanchao Qi et al.*2021 · 134 citations*
60. **[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*
61. **[HMEAE: Hierarchical Modular Event Argument Extraction ↗](https://aclanthology.org/D19-1584/) 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**Xiaozhi Wang et al.*2019 · 132 citations*
62. **[Differentiating Concepts and Instances for Knowledge Graph Embedding ↗](https://aclanthology.org/D18-1222/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Xin Lv et al.*2018 · 130 citations*
63. **[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*
64. **[Automatic Judgment Prediction via Legal Reading Comprehension ↗](https://arxiv.org/abs/1809.06537) arXiv:1809.06537 · no summary yet**Shangbang Long et al.*2018 · 120 citations*
65. **[OpenAttack: An Open-source Textual Adversarial Attack Toolkit ↗](https://aclanthology.org/2021.acl-demo.43/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations · no summary yet**Guoyang Zeng et al.*2021 · 119 citations*
66. **[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*
67. **[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*
68. **[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*
69. **[Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge ↗](https://aclanthology.org/P19-1430/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Ziran Li et al.*2019 · 110 citations*
70. **[Sparse Low-rank Adaptation of Pre-trained Language Models ↗](https://aclanthology.org/2023.emnlp-main.252/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Ning Ding et al.*2023 · 109 citations*
71. **[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*
72. **[Low-Resource Name Tagging Learned with Weakly Labeled Data ↗](https://aclanthology.org/D19-1025/) 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**Yixin Cao et al.*2019 · 107 citations*
73. **[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*
74. **[Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen ↗](https://aclanthology.org/2020.acl-main.100/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Yixin Cao et al.*2020 · 105 citations*
75. **[Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations ↗](https://aclanthology.org/D19-1334/) 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**Xin Lv et al.*2019 · 104 citations*
76. **[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*
77. **[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*
78. **[Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with Confidence](https://md.research.elamur.ai/free/en/papers/xie-2017-william-shakespeare-really-write-hamlet/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Ruobing Xie, Zhiyuan Liu, Fen Lin, et al.*2017 · 93 citations*
79. **[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*
80. **[Finding Skill Neurons in Pre-trained Transformer-based Language Models](https://md.research.elamur.ai/free/en/papers/wang-2022-finding-skill-neurons-pre-trained/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xiaozhi Wang, Kaiyue Wen, Zhengyan Zhang, et al.*2022 · 85 citations*
81. **[Simulating Classroom Education with LLM-Empowered Agents](https://md.research.elamur.ai/free/en/papers/zhang-2025-simulating-classroom-education-llm-empowered/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Zheyuan Zhang, Daniel Zhang-Li, Jifan Yu, et al.*2025 · 84 citations*
82. **[Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data ↗](https://aclanthology.org/D19-1021/) 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**Ruidong Wu et al.*2019 · 84 citations*
83. **[Better Robustness by More Coverage: Adversarial and Mixup Data Augmentation for Robust Finetuning ↗](https://aclanthology.org/2021.findings-acl.137/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yet**Chenglei Si et al.*2021 · 80 citations*
84. **[CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models](https://md.research.elamur.ai/free/en/papers/qian-2023-creator-tool-creation-disentangling-abstract/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Cheng Qian, Chi Han, Yi Fung, et al.*2023 · 75 citations*
85. **[Event Detection with Trigger-Aware Lattice Neural Network ↗](https://aclanthology.org/D19-1033/) 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**Ning Ding et al.*2019 · 74 citations*
86. **[Scaling Large Language Model-based Multi-Agent Collaboration ↗](https://arxiv.org/abs/2406.07155) arXiv:2406.07155 · no summary yet**Chen Qian et al.*2024 · 70 citations*
87. **[Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph ↗](https://aclanthology.org/2020.emnlp-main.459/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Xin Lv et al.*2020 · 69 citations*
88. **[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*
89. **[Online Learning of Interpretable Word Embeddings ↗](https://aclanthology.org/D15-1196/) Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yet**Hongyin Luo et al.*2015 · 67 citations*
90. **[CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain ↗](https://arxiv.org/abs/1911.08962) arXiv:1911.08962 · no summary yet**Chaojun Xiao et al.*2019 · 64 citations*
91. **[Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe ↗](https://arxiv.org/abs/2604.13016) arXiv:2604.13016 · no summary yet**Yaxuan Li et al.*2026 · 58 citations*
92. **[StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models ↗](https://arxiv.org/abs/2403.07714) arXiv:2403.07714 · no summary yet**Zhicheng Guo et al.*2024 · 55 citations*
93. **[Overview of CAIL2018: Legal Judgment Prediction Competition ↗](https://arxiv.org/abs/1810.05851) arXiv:1810.05851 · no summary yet**Haoxi Zhong et al.*2018 · 35 citations*
94. **[RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework](https://md.research.elamur.ai/free/en/papers/zhu-2025-rageval-scenario-specific-rag-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kunlun Zhu, Yifan Luo, Dingling Xu, et al.*2025 · 34 citations*
95. **[Sub-Character Tokenization for Chinese Pretrained Language Models](https://md.research.elamur.ai/free/en/papers/si-2023-sub-character-tokenization-chinese-pretrained/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Chenglei Si, Zhengyan Zhang, Yingfa Chen, et al.*2023 · 29 citations*
96. **[Equality before the Law: Legal Judgment Consistency Analysis for Fairness ↗](https://arxiv.org/abs/2103.13868) arXiv:2103.13868 · no summary yet**Yuzhong Wang et al.*2021 · 25 citations*
97. **[ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation](https://md.research.elamur.ai/free/en/papers/zhao-2025-chartcoder-advancing-multimodal-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xuanle Zhao, Xianzhen Luo, Qi Shi, et al.*2025 · 24 citations*
98. **[Experiential Co-Learning of Software-Developing Agents ↗](https://arxiv.org/abs/2312.17025) arXiv:2312.17025 · no summary yet**Chen Qian et al.*2023 · 24 citations*
99. **[GACT: Activation Compressed Training for Generic Network Architectures ↗](https://arxiv.org/abs/2206.11357) arXiv (Cornell University) · no summary yet**Liu, Xiaoxuan et al.*2022 · 20 citations*
100. **[Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented Reasoning](https://md.research.elamur.ai/free/en/papers/shi-2025-search-refine-during-think-facilitating/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yaorui Shi, Sihang Li, Chang Wu, et al.*2025 · 18 citations*

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