---
title: "Who cites Yutao Zeng — 60 papers of our library"
description: "60 papers of the Elamur Research library cite the works of Yutao Zeng, found in their bibliographies; the most cited first."
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---
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# Who cites Yutao Zeng

60 citations of their works from 60 papers of our library (of the 149,439 whose bibliographies we read) · 22 with a page here, the most cited first · [← Yutao Zeng](https://md.research.elamur.ai/free/en/authors/yutao-zeng/)

1. **[Large Language Models for Generative Information Extraction: A Survey](https://md.research.elamur.ai/free/en/papers/xu-2023-large-language-models-generative-information/) [Frontiers of Computer Science](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/)**Derong Xu, Wei Chen, Wenjun Peng, et al.*2023 · 406 citations*
2. **[CDLM: Cross-Document Language Modeling](https://md.research.elamur.ai/free/en/papers/caciularu-2021-cdlm-cross-document-language-modeling/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Avi Caciularu, Arman Cohan, Iz Beltagy, et al.*2021 · 106 citations*
3. **[Cross-document Coreference Resolution over Predicted Mentions](https://md.research.elamur.ai/free/en/papers/cattan-2021-cross-document-coreference-resolution-over/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Arie Cattan, Alon Eirew, Gabriel Stanovsky, et al.*2021 · 63 citations*
4. **[Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreference](https://md.research.elamur.ai/free/en/papers/held-2021-focus-what-matters-applying-discourse/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**William Held, Dan Iter, Dan Jurafsky*2021 · 34 citations*
5. **[Pairwise Representation Learning for Event Coreference](https://md.research.elamur.ai/free/en/papers/yu-2022-pairwise-representation-learning-event-coreference/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Xiaodong Yu, Wenpeng Yin, Dan Roth*2022 · 31 citations*
6. **[What happens before and after: Multi-Event Commonsense in Event Coreference Resolution](https://md.research.elamur.ai/free/en/papers/ravi-2023-what-happens-before-after-multi/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Sahithya Ravi, Chris Tanner, Raymond Ng, et al.*2023 · 21 citations*
7. **[Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models](https://md.research.elamur.ai/free/en/papers/min-2024-synergetic-event-understanding-collaborative-approach/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qingkai Min, Qipeng Guo, Xiangkun Hu, et al.*2024 · 19 citations*
8. **[A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution](https://md.research.elamur.ai/free/en/papers/ding-2024-rationale-centric-counterfactual-data-augmentation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Bowen Ding, Qingkai Min, Shengkun Ma, et al.*2024 · 17 citations*
9. **[2*n is better than n²: Decomposing Event Coreference Resolution into Two Tractable Problems](https://md.research.elamur.ai/free/en/papers/ahmed-2023-2-n-is-better-than/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shafiuddin Rehan Ahmed, Abhijnan Nath, James H. Martin, et al.*2023 · 17 citations*
10. **[Cross-Document Event Coreference Resolution on Discourse Structure](https://md.research.elamur.ai/free/en/papers/chen-2023-cross-document-event-coreference-resolution/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xinyu Chen, Sheng Xu, Peifeng Li, et al.*2023 · 16 citations*
11. **[Improving Event Coreference Resolution Using Document-level and Topic-level Information](https://md.research.elamur.ai/free/en/papers/xu-2022-improving-event-coreference-resolution-document/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sheng Xu, Peifeng Li, Qiaoming Zhu*2022 · 15 citations*
12. [**Constituency Parsing using LLMs arXiv:2310.19462**Xuefeng Bai, Jialong Wu, Yulong Chen, et al.*2023 · 14 citations*](https://md.research.elamur.ai/free/en/papers/bai-2023-constituency-parsing-using-llms/)
13. **[Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/yang-2025-beyond-boundaries-learning-universal-entity/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yuming Yang, Wantong Zhao, Caishuang Huang, et al.*2025 · 11 citations*
14. **[Event Coreference Data (Almost) for Free: Mining Hyperlinks from Online News](https://md.research.elamur.ai/free/en/papers/bugert-2021-event-coreference-data-almost-free/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Michael Bugert, Iryna Gurevych*2021 · 11 citations*
15. **[Contrastive Representation Learning for Cross-Document Coreference Resolution of Events and Entities](https://md.research.elamur.ai/free/en/papers/hsu-2022-contrastive-representation-learning-cross-document/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Benjamin Hsu, Graham Horwood*2022 · 10 citations*
16. **[Link Prediction for Event Logs in the Process Industry](https://md.research.elamur.ai/free/en/papers/zhukova-2026-link-prediction-event-logs-process/) [Workshop on the Role of Resources in the Age of Large Language Models](https://md.research.elamur.ai/free/en/venues/resourceful/)**Anastasia Zhukova, Thomas Walton, Christian E. Lobmüller, et al.*2026 · 1 citation*
17. **[AnchorAlign: A Novel Anchor Alignment-enhanced Generative Method for Joint Named Entity Recognition and Relation Extraction](https://md.research.elamur.ai/free/en/papers/weng-2026-anchoralign-novel-anchor-alignment-enhanced/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaolong Weng, Yuanyun Zhou, Boyu Qiu, et al.*2026*
18. **[Capability Decomposition for Unified Information Extraction via Hierarchical Mixture-of-Experts](https://md.research.elamur.ai/free/en/papers/zhou-2026-capability-decomposition-unified-information-extraction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jing Zhou, Peng Wang, Wenjun Ke, et al.*2026*
19. **[Contrastively Pre-trained Event Embeddings with Schema-free LLM Annotations](https://md.research.elamur.ai/free/en/papers/mtumbuka-2026-contrastively-pre-trained-event-embeddings/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Frank Mtumbuka, Steven Schockaert*2026*
20. **[EXCEEDS: Extracting Complex Events via Nugget-based Grid Modeling in Scientific Domain](https://md.research.elamur.ai/free/en/papers/lu-2026-exceeds-extracting-complex-events-nugget/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yi-Fan Lu, Xian-Ling Mao, Bo Wang, et al.*2026*
21. **[MMUIE: Massive Multi-Domain Universal Information Extraction for Long Documents](https://md.research.elamur.ai/free/en/papers/zhang-2026-mmuie-massive-multi-domain-universal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shuyi Zhang, Zhenbin Chen, Shuting Li, et al.*2026*
22. **[ProUIE: A Macro-to-Micro Progressive Learning Method for LLM-based Universal Information Extraction](https://md.research.elamur.ai/free/en/papers/liu-2026-prouie-macro-micro-progressive-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenda Liu, Song Zhigang, Shuai Nie, et al.*2026*

38 more citing papers of our library have no page here yet.

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