🧑‍🔬 Haoyu Wang

🏛️ Affiliations

🎓Huazhong University of Science and TechnologyWuhan · China2022–2026 · 6 paperscurrent🎓Beijing Jiaotong UniversityBeijing · China2021–2026 · 3 paperscurrent🎓China University of Petroleum, BeijingBeijing · China2024–2026 · 2 paperscurrent🎓Harbin University of CommerceHarbin · China2021–2026 · 2 paperscurrent🎓North China University of Water Resources and Electric PowerZhengzhou · China2023–2026 · 2 paperscurrent🎓Shandong UniversityJinan · China2025–2026 · 2 paperscurrent🎓University of AucklandAuckland · New Zealand2025–2026 · 2 paperscurrent🎓National University of SingaporeSingapore · Singapore2026 · 1 papercurrent🎓Virginia TechBlacksburg · United States2026 · 1 papercurrent🎓University of PennsylvaniaPhiladelphia · United States2018–2024 · 15 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 50 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Diverse Few-Shot Text Classification with Multiple Metrics (2018 · 291 citations)
   Most few-shot learning research assumes that all tasks are drawn from one large, homogeneous collection, as with Omniglot or ImageNet.
2. OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment (2026 · 25 citations)
   Reward models for RLHF usually output a single score or a pairwise verdict. These signals miss the many dimensions of human preference, especially in subjective tasks where correctness cannot be checked automatically. Rubric-based rewards can help, but rubrics written by experts are costly, and rubrics produced by…
3. Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition (2025 · 13 citations)
   Reasoning-focused LLMs such as DeepSeek-R1 are expensive to deploy because they are very large and generate long chains of thought, sometimes tens of thousands of tokens per problem.
4. Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs (2026 · 1 citation)
   Once deployed, LLMs cannot easily absorb new or corrected facts. Retraining is expensive. Weight-editing methods tend to collapse as edits pile up, especially with long, free-form knowledge rather than subject–relation–object triples. The authors propose RILKE, which keeps the base model frozen and instead edits…
5. Why Did Apple Fall: Evaluating Curiosity in Large Language Models (2026 · 1 citation)
   Curiosity-inspired intrinsic rewards are increasingly used in RL training of LLMs, but it has not been checked whether these models actually behave in curious ways, or whether the reported gains simply come from amplified statistical signals such as entropy.
6. Evaluating the Expressive Appropriateness of Speech in Rich Contexts (2026)
   Current speech evaluation tools mostly score naturalness, signal quality or emotional intensity for single utterances.

All works

23 works of theirs in our library, the most cited first; 6 with a page here, the others link their original until we summarise them.

1. Diverse Few-Shot Text Classification with Multiple MetricsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Mo Yu, Xiaoxiao Guo, Jinfeng Yi, et al.2018 · 291 citations
2. BLINK: Multimodal Large Language Models Can See but Not Perceive ↗arXiv:2404.12390 · no summary yetXingyu Fu et al.2024 · 206 citations
3. Joint Constrained Learning for Event-Event Relation Extraction ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetHaoyu Wang et al.2020 · 172 citations
4. Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetHaoyu Wang et al.2019 · 135 citations
5. RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations · no summary yetHaoyang Wen et al.2021 · 83 citations
6. Zero-shot Label-Aware Event Trigger and Argument Classification ↗Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yetHongming Zhang, Haoyu Wang, Dan Roth2021 · 67 citations
7. Analogous Process Structure Induction for Sub-event Sequence Prediction ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetHongming Zhang et al.2020 · 56 citations
8. What Are You Trying to Do? Semantic Typing of Event Processes ↗Proceedings of the 24th Conference on Computational Natural Language Learning · no summary yetMuhao Chen et al.2020 · 51 citations
9. RESIN-11: Schema-guided Event Prediction for 11 Newsworthy Scenarios ↗Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations · no summary yetXinya Du et al.2022 · 38 citations
10. Zero-Shot On-the-Fly Event Schema Induction ↗Findings of the Association for Computational Linguistics: EACL 2023 · no summary yetRotem Dror, Haoyu Wang, Dan Roth2023 · 32 citations
11. Learning Constraints and Descriptive Segmentation for Subevent Detection ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetHaoyu Wang et al.2021 · 27 citations
12. OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Tianci Liu, Ran Xu, Tony Yu, et al.2026 · 25 citations
13. Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction ↗Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics · no summary yetHaoyu Wang et al.2023 · 25 citations
14. Generic Temporal Reasoning with Differential Analysis and Explanation ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYu Feng et al.2023 · 19 citations
15. Unsupervised Label-aware Event Trigger and Argument Classification ↗arXiv (Cornell University) · no summary yetHongming Zhang, Haoyu Wang, Dan Roth2020 · 14 citations
16. Pangu Embedded: An Efficient Dual-system LLM Reasoner with MetacognitionarXiv:2505.22375Hanting Chen, Yasheng Wang, Kai Han, et al.2025 · 13 citations
17. Knowledge-Guided Paraphrase Identification ↗Findings of the Association for Computational Linguistics: EMNLP 2021 · no summary yetHaoyu Wang et al.2021 · 12 citations
18. Capturing the Content of a Document through Complex Event Identification ↗Proceedings of the 11th Joint Conference on Lexical and Computational Semantics · no summary yetZheng Qi et al.2022 · 5 citations
19. Are All Steps Equally Important? Benchmarking Essentiality Detection in Event Processes ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetHaoyu Wang et al.2023 · 2 citations
20. Representation Interventions Enable Lifelong Knowledge Memory Control in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Xuyuan Liu, Shengyu Chen, Xinshuai Dong, et al.2026 · 1 citation
21. Why Did Apple Fall: Evaluating Curiosity in Large Language ModelsFindings of the Association for Computational LinguisticsHaoyu Wang, Sihang Jiang, Yuyan Chen, et al.2026 · 1 citation
22. Evaluating the Expressive Appropriateness of Speech in Rich ContextsAnnual Meeting of the Association for Computational Linguistics (ACL)Tianrui Wang, Ziyang Ma, Yizhou Peng, et al.2026
23. Are All Steps Equally Important? Benchmarking Essentiality Detection of Events ↗arXiv (Cornell University) · no summary yetHaoyu Wang et al.2022

🤝 Co-authors here

12 of 31 co-authors with a page, the most papers together first.

• Bin Wang
• Bowen Zhou
• Carl Yang
• Dong Li
• Fei Mi
• Haifeng Chen
• Hanting Chen
• Ilgee Hong
• Jiansheng Wei
• Jinpeng Li
• Kai Han
• Kaikai Song

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Annual Meeting of the Association for Computational Linguistics (ACL) ×5: ACL 2026 ×3
• Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) ×4
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): NAACL 2018
• Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
• Findings of the Association for Computational Linguistics: EACL 2023
• Findings of the Association for Computational Linguistics: EMNLP 2021
• Proceedings of the 11th Joint Conference on Lexical and Computational Semantics
• Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
• Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations
• Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations
• Proceedings of the 24th Conference on Computational Natural Language Learning

🔗 Cited by

Papers of our library cite their works 554 times (of the 149,439 papers whose bibliographies we read); 68 citing papers with a page here →.

Updated 1 November 2026

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