---
title: "Juanzi Li — all works — Elamur Research"
description: "All 49 works of Juanzi Li 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/juanzi-li/works/"
---
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# Juanzi Li — all works

49 works · [← Juanzi Li](https://md.research.elamur.ai/free/en/authors/juanzi-li/)

1. **[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*
2. **[CogAgent: A Visual Language Model for GUI Agents](https://md.research.elamur.ai/free/en/papers/hong-2023-cogagent-visual-language-model/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Wenyi Hong, Weihan Wang, Qingsong Lv, et al.*2023 · 367 citations*
3. **[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*
4. **[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*
5. **[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*
6. **[Explainable and Explicit Visual Reasoning Over Scene Graphs ↗](https://doi.org/10.1109/cvpr.2019.00857) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jiaxin Shi, Hanwang Zhang, Juanzi Li*2019 · 237 citations*
7. **[Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model ↗](https://aclanthology.org/D19-1274/) 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**Chengjiang Li et al.*2019 · 191 citations*
8. **[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*
9. **[TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph ↗](https://aclanthology.org/2021.emnlp-main.341/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Jiaxin Shi et al.*2021 · 162 citations*
10. **[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*
11. **[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*
12. **[Prerequisite Relation Learning for Concepts in MOOCs ↗](https://aclanthology.org/P17-1133/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Liangming Pan et al.*2017 · 146 citations*
13. **[Improving Event Detection via Open-domain Trigger Knowledge ↗](https://aclanthology.org/2020.acl-main.522/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Meihan Tong et al.*2020 · 143 citations*
14. **[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*
15. [**LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks arXiv:2412.15204**Yushi Bai, Shangqing Tu, Jiajie Zhang, et al.*2024 · 135 citations*](https://md.research.elamur.ai/free/en/papers/bai-2024-longbench-v2-deeper-understanding/)
16. **[KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base ↗](https://aclanthology.org/2022.acl-long.422/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Shulin Cao et al.*2022 · 135 citations*
17. **[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*
18. **[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*
19. **[Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding ↗](https://aclanthology.org/P17-1149/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yixin Cao et al.*2017 · 124 citations*
20. **[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*
21. **[RAIN: Social Role-Aware Information Diffusion ↗](https://doi.org/10.1609/aaai.v29i1.9164) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Yang Yang et al.*2015 · 108 citations*
22. **[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*
23. **[Benchmarking Foundation Models with Language-Model-as-an-Examiner](https://md.research.elamur.ai/free/en/papers/bai-2023-benchmarking-foundation-models-language-model/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yushi Bai, Jiahao Ying, Yixin Cao, et al.*2023 · 106 citations*
24. **[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*
25. **[LEVEN: A Large-Scale Chinese Legal Event Detection Dataset ↗](https://aclanthology.org/2022.findings-acl.17/) Findings of the Association for Computational Linguistics: ACL 2022 · no summary yet**Feng Yao et al.*2022 · 103 citations*
26. [**LongAlign: A Recipe for Long Context Alignment of Large Language Models arXiv:2401.18058**Yushi Bai, Xin Lv, Jiajie Zhang, et al.*2024 · 98 citations*](https://md.research.elamur.ai/free/en/papers/bai-2024-longalign-recipe-long-context/)
27. **[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*
28. **[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*
29. **[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*
30. **[Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks ↗](https://aclanthology.org/D19-1502/) 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**Hailong Jin et al.*2019 · 73 citations*
31. **[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*
32. [**LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs arXiv:2408.07055**Yushi Bai, Jiajie Zhang, Xin Lv, et al.*2024 · 66 citations*](https://md.research.elamur.ai/free/en/papers/bai-2024-longwriter-unleashing-10-000/)
33. [**RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style arXiv:2410.16184**Yantao Liu, Zijun Yao, Rui Min, et al.*2024 · 53 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-rm-bench-benchmarking-reward-models/)
34. **[SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/papers/yao-2025-seakr-self-aware-knowledge-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zijun Yao, Weijian Qi, Liangming Pan, et al.*2025 · 52 citations*
35. **[AdaptThink: Reasoning Models Can Learn When to Think](https://md.research.elamur.ai/free/en/papers/zhang-2025-adaptthink-reasoning-models-can-learn/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiajie Zhang, Nianyi Lin, Lei Hou, et al.*2025 · 44 citations*
36. [**When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks arXiv:2311.08993**Hao Peng, Xiaozhi Wang, Jianhui Chen, et al.*2023 · 42 citations*](https://md.research.elamur.ai/free/en/papers/peng-2023-context-learning-fall-short-why/)
37. **[T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling ↗](https://arxiv.org/abs/2501.11651) arXiv:2501.11651 · no summary yet**Zhenyu Hou et al.*2025 · 28 citations*
38. **[LongReward: Improving Long-context Large Language Models with AI Feedback](https://md.research.elamur.ai/free/en/papers/zhang-2025-longreward-improving-long-context-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiajie Zhang, Zhongni Hou, Xin Lv, et al.*2025 · 21 citations*
39. **[Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems](https://md.research.elamur.ai/free/en/papers/peng-2025-agentic-reward-modeling-integrating-human/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Peng, Yunjia Qi, Xiaozhi Wang, et al.*2025 · 18 citations*
40. **[VerIF: Verification Engineering for Reinforcement Learning in Instruction Following](https://md.research.elamur.ai/free/en/papers/peng-2025-verif-verification-engineering-reinforcement-learning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hao Peng, Yunjia Qi, Xiaozhi Wang, et al.*2025 · 18 citations*
41. **[Pre-training Distillation for Large Language Models: A Design Space Exploration](https://md.research.elamur.ai/free/en/papers/peng-2025-pre-training-distillation-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Peng, Xin Lv, Yushi Bai, et al.*2025 · 14 citations*
42. **[SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models](https://md.research.elamur.ai/free/en/papers/wu-2026-superwriter-reflection-driven-long-form/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuhao Wu, Yushi Bai, Zhiqiang Hu, et al.*2026 · 6 citations*
43. **[MAVEN-FACT: A Large-scale Event Factuality Detection Dataset](https://md.research.elamur.ai/free/en/papers/li-2024-maven-fact-large-scale-event/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chunyang Li, Hao Peng, Xiaozhi Wang, et al.*2024 · 6 citations*
44. **[DeepPrune: Parallel Scaling without Inter-trace Redundancy](https://md.research.elamur.ai/free/en/papers/tu-2026-deepprune-parallel-scaling-without-inter/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shangqing Tu, Yaxuan Li, Yushi Bai, et al.*2026 · 3 citations*
45. **[ParaMac: A General Unsupervised Paraphrase Generation Framework Leveraging Semantic Constraints and Diversifying Mechanisms ↗](https://aclanthology.org/2022.findings-emnlp.461/) Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yet**Jinxin Liu et al.*2022 · 3 citations*
46. **[Can Large Language Models Effectively Support Decision-Making in Sudden Emergencies?](https://md.research.elamur.ai/free/en/papers/zhu-2026-can-large-language-models-effectively/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mengna Zhu, Jibing Wu, Lihua Liu, et al.*2026*
47. **[Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards](https://md.research.elamur.ai/free/en/papers/zhang-2026-chaining-evidence-robust-reinforcement-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiajie Zhang, Xin Lv, Ling Feng, et al.*2026*
48. **[From Knowing to Teaching: Scaffolding Pedagogical Decisions for LLM Agent](https://md.research.elamur.ai/free/en/papers/wang-2026-knowing-teaching-scaffolding-pedagogical-decisions/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yucheng Wang, Shen Yang, Jifan Yu, et al.*2026*
49. **[WildReward: Learning Reward Models from In-the-Wild Human Interactions](https://md.research.elamur.ai/free/en/papers/peng-2026-wildreward-learning-reward-models-wild/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Peng, Yunjia Qi, Xiaozhi Wang, et al.*2026*