--- title: "Who cites Xun Wang — 61 papers of our library" description: "61 papers of the Elamur Research library cite the works of Xun Wang, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/xun-wang/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xun-wang/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Xun Wang](https://md.research.elamur.ai/free/en/authors/xun-wang/) / cited by # Who cites Xun Wang 61 citations of their works from 61 papers of our library (of the 149,439 whose bibliographies we read) · 17 with a page here, the most cited first · [← Xun Wang](https://md.research.elamur.ai/free/en/authors/xun-wang/) 1. **[Self-Alignment Pretraining for Biomedical Entity Representations](https://md.research.elamur.ai/free/en/papers/liu-2021-self-alignment-pretraining-biomedical-entity/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, et al.*2021 · 437 citations* 2. **[The CoNLL-2015 Shared Task on Shallow Discourse Parsing](https://md.research.elamur.ai/free/en/papers/xue-2015-conll-2015-shared-task-shallow/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Nianwen Xue, Hwee Tou Ng, Sameer Pradhan, et al.*2015 · 210 citations* 3. **[Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns](https://md.research.elamur.ai/free/en/papers/rutherford-2014-discovering-implicit-discourse-relations-through/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Attapol Rutherford, Nianwen Xue*2014 · 192 citations* 4. **[Shallow Convolutional Neural Network for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/zhang-2015-shallow-convolutional-neural-network-implicit/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Biao Zhang, Jinsong Su, Deyi Xiong, et al.*2015 · 161 citations* 5. **[Improving the Inference of Implicit Discourse Relations via Classifying Explicit Discourse Connectives](https://md.research.elamur.ai/free/en/papers/rutherford-2015-improving-inference-implicit-discourse-relations/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Attapol Rutherford, Nianwen Xue*2015 · 142 citations* 6. **[Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention](https://md.research.elamur.ai/free/en/papers/liu-2016-recognizing-implicit-discourse-relations-repeated/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yang Liu, Sujian Li*2016 · 128 citations* 7. **[Learning Connective-based Word Representations for Implicit Discourse Relation Identification](https://md.research.elamur.ai/free/en/papers/braud-2016-learning-connective-based-word-representations/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chloé Braud, Pascal Denis*2016 · 56 citations* 8. **[A Survey of Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/xiang-2022-survey-implicit-discourse-relation-recognition/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Wei Xiang, Bang Wang*2022 · 43 citations* 9. **[Variational Neural Discourse Relation Recognizer](https://md.research.elamur.ai/free/en/papers/zhang-2016-variational-neural-discourse-relation-recognizer/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Biao Zhang, Deyi Xiong, Jinsong Su, et al.*2016 · 30 citations* 10. **[Implicit Discourse Relation Identification for Open-domain Dialogues](https://md.research.elamur.ai/free/en/papers/ma-2019-implicit-discourse-relation-identification-open/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mingyu Derek Ma, Kevin Bowden, Jiaqi Wu, et al.*2019 · 26 citations* 11. **[On the Need of Cross Validation for Discourse Relation Classification](https://md.research.elamur.ai/free/en/papers/shi-2017-need-cross-validation-discourse-relation/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Wei Shi, Vera Demberg*2017 · 25 citations* 12. **[Combining Natural and Artificial Examples to Improve Implicit Discourse Relation Identification](https://md.research.elamur.ai/free/en/papers/braud-2014-combining-natural-artificial-examples-improve/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Chloé Braud, Pascal Denis*2014 · 15 citations* 13. [**MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought Reasoning arXiv:2505.20096**Thang Nguyen, Peter Chin, Yu-Wing Tai*2025 · 14 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2025-ma-rag-multi-agent-retrieval/) 14. **[What Causes the Failure of Explicit to Implicit Discourse Relation Recognition?](https://md.research.elamur.ai/free/en/papers/liu-2024-what-causes-failure-explicit-implicit/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Wei Liu, Stephen Wan, Michael Strube*2024 · 12 citations* 15. **[Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification](https://md.research.elamur.ai/free/en/papers/shi-2019-acquiring-annotated-data-cross-lingual/) [Workshop on Discourse Relation Parsing and Treebanking](https://md.research.elamur.ai/free/en/venues/workshop-on-discourse-relation-parsing-and-treebanking/)**Wei Shi, Frances Yung, Vera Demberg*2019 · 11 citations* 16. **[Communication Enables Cooperation in LLM Agents: A Comparison with Curriculum-Based Approaches](https://md.research.elamur.ai/free/en/papers/madmoun-2026-communication-enables-cooperation-llm-agents/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Hachem Madmoun, Salem Lahlou*2026* 17. **[CORE: Measuring Multi-Agent LLM Interaction Quality under Game-Theoretic Pressures](https://md.research.elamur.ai/free/en/papers/pandey-2026-core-measuring-multi-agent-llm/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Punya Syon Pandey, Yongjin Yang, Jiarui Liu, et al.*2026* 44 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/xun-wang/) — Xun Wang