---
title: "Haoyu Wang · Shandong University — author profile and papers"
description: "Haoyu Wang, Shandong University: 8 papers on Elamur Research (2018–2026), h-index 20 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/haoyu-wang/"
---
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# Haoyu Wang

Haoyu Wang has 8 papers in our library, in 2018–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Carl Yang](https://md.research.elamur.ai/free/en/authors/carl-yang/), [Ran Xu](https://md.research.elamur.ai/free/en/authors/ran-xu/), [Bin Wang](https://md.research.elamur.ai/free/en/authors/bin-wang/).

8 papers in our library · 2018–2026

[OpenAlex](https://openalex.org/A5100427168) · [ORCID](https://orcid.org/0000-0002-4341-273X) · [**h-index 20**](https://openalex.org/authors/A5100427168) · [155 works](https://openalex.org/works?filter=author.id:A5100427168) · [1,506 citations](https://openalex.org/works?filter=author.id:A5100427168&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 8 works in our library](https://md.research.elamur.ai/free/en/authors/haoyu-wang/#papers) · [🔗 Cited 554 times in our library](https://md.research.elamur.ai/free/en/authors/haoyu-wang/cited-by/) · [16 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4083](https://md.research.elamur.ai/free/en/paper-stars/page/41/#star-4083)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Haoyu+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Haoyu+Wang) · [dblp](https://dblp.org/search?q=Haoyu+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Haoyu+Wang)

## Affiliations

[🎓**Huazhong University of Science and Technology** Wuhan · China 2022–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/huazhong-university-of-science-and-technology/) · [🎓**Beijing Jiaotong University** Beijing · China 2021–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/beijing-jiaotong-university/) · [🎓**China University of Petroleum, Beijing** Beijing · China 2024–2026 · 2 papers*current*](https://ror.org/041qf4r12) · [🎓**Harbin University of Commerce** Harbin · China 2021–2026 · 2 papers*current*](https://ror.org/03zsxkw25) · [🎓**North China University of Water Resources and Electric Power** Zhengzhou · China 2023–2026 · 2 papers*current*](https://ror.org/03acrzv41) · [🎓**Shandong University** Jinan · China 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/shandong-university/) · [🎓**University of Auckland** Auckland · New Zealand 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-auckland/) · [🎓**National University of Singapore** Singapore · Singapore 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/) · [🎓**Virginia Tech** Blacksburg · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/virginia-tech/) · [🎓**University of Pennsylvania** Philadelphia · United States 2018–2024 · 15 papers](https://md.research.elamur.ai/free/en/universities/university-of-pennsylvania/)

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.

📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 8 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 8 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 7 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 7 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Experimental and Cognitive Psychology · 2 works](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Psychology · 2 works](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 6 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/)

## Works by year

### 2020s

[**2026** 5 papers](https://md.research.elamur.ai/free/en/authors/haoyu-wang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/haoyu-wang/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/haoyu-wang/year/2024/)

### 2010s

[**2018** 1 paper](https://md.research.elamur.ai/free/en/authors/haoyu-wang/year/2018/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Diverse Few-Shot Text Classification with Multiple Metrics](https://md.research.elamur.ai/free/en/papers/yu-2018-diverse-few-shot-text-classification/)** *(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. **[BLINK: Multimodal Large Language Models Can See but Not Perceive](https://md.research.elamur.ai/free/en/papers/fu-2024-blink-multimodal-large-language-models/)** *(2024 · 206 citations)* Popular multimodal benchmarks such as MMBench mostly test object recognition and language-side knowledge. They say little about whether models actually perceive visual structure. The authors present Blink, a benchmark built from 14 classic computer vision problems, including relative depth, visual and semantic…
3. **[OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment](https://md.research.elamur.ai/free/en/papers/liu-2026-openrubrics-scalable-synthetic-rubric-generation/)** *(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…
4. **[Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition](https://md.research.elamur.ai/free/en/papers/chen-2025-pangu-embedded-efficient-dual/)** *(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.
5. **[Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs](https://md.research.elamur.ai/free/en/papers/liu-2026-representation-interventions-enable-lifelong-knowledge/)** *(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…
6. **[Why Did Apple Fall: Evaluating Curiosity in Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-why-did-apple-fall-evaluating/)** *(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.
7. **[Evaluating the Expressive Appropriateness of Speech in Rich Contexts](https://md.research.elamur.ai/free/en/papers/wang-2026-evaluating-expressive-appropriateness-speech-rich/)** *(2026)* Current speech evaluation tools mostly score naturalness, signal quality or emotional intensity for single utterances.
8. **[RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation](https://md.research.elamur.ai/free/en/papers/xu-2026-rag-wild-effectiveness-llms-mixture/)** *(2026)* Most RAG benchmarks are built from Wikipedia or closely related text, so strong results there may say little about deployment against messy, multi-domain collections.

## All works

24 works of theirs in our library, the most cited first; 8 with a page here, the others link their original until we summarise them.

1. **[Diverse Few-Shot Text Classification with Multiple Metrics](https://md.research.elamur.ai/free/en/papers/yu-2018-diverse-few-shot-text-classification/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Mo Yu, Xiaoxiao Guo, Jinfeng Yi, et al.*2018 · 291 citations*
2. **[BLINK: Multimodal Large Language Models Can See but Not Perceive](https://md.research.elamur.ai/free/en/papers/fu-2024-blink-multimodal-large-language-models/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Xingyu Fu, Yushi Hu, Bangzheng Li, et al.*2024 · 206 citations*
3. **[Joint Constrained Learning for Event-Event Relation Extraction ↗](https://aclanthology.org/2020.emnlp-main.51/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Haoyu Wang et al.*2020 · 172 citations*
4. **[Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers ↗](https://aclanthology.org/P19-1132/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Haoyu Wang et al.*2019 · 135 citations*
5. **[RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System ↗](https://aclanthology.org/2021.naacl-demos.16/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations · no summary yet**Haoyang Wen et al.*2021 · 83 citations*
6. **[Zero-shot Label-Aware Event Trigger and Argument Classification ↗](https://aclanthology.org/2021.findings-acl.114/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yet**Hongming Zhang, Haoyu Wang, Dan Roth*2021 · 67 citations*
7. **[Analogous Process Structure Induction for Sub-event Sequence Prediction ↗](https://aclanthology.org/2020.emnlp-main.119/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Hongming Zhang et al.*2020 · 56 citations*
8. **[What Are You Trying to Do? Semantic Typing of Event Processes ↗](https://aclanthology.org/2020.conll-1.43/) Proceedings of the 24th Conference on Computational Natural Language Learning · no summary yet**Muhao Chen et al.*2020 · 51 citations*
9. **[RESIN-11: Schema-guided Event Prediction for 11 Newsworthy Scenarios ↗](https://aclanthology.org/2022.naacl-demo.7/) Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations · no summary yet**Xinya Du et al.*2022 · 38 citations*
10. **[Zero-Shot On-the-Fly Event Schema Induction ↗](https://aclanthology.org/2023.findings-eacl.53/) Findings of the Association for Computational Linguistics: EACL 2023 · no summary yet**Rotem Dror, Haoyu Wang, Dan Roth*2023 · 32 citations*
11. **[Learning Constraints and Descriptive Segmentation for Subevent Detection ↗](https://aclanthology.org/2021.emnlp-main.423/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Haoyu Wang et al.*2021 · 27 citations*
12. **[OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment](https://md.research.elamur.ai/free/en/papers/liu-2026-openrubrics-scalable-synthetic-rubric-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianci Liu, Ran Xu, Tony Yu, et al.*2026 · 25 citations*
13. **[Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction ↗](https://aclanthology.org/2023.eacl-main.39/) Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics · no summary yet**Haoyu Wang et al.*2023 · 25 citations*
14. **[Generic Temporal Reasoning with Differential Analysis and Explanation ↗](https://aclanthology.org/2023.acl-long.671/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yu Feng et al.*2023 · 19 citations*
15. **[Unsupervised Label-aware Event Trigger and Argument Classification ↗](https://arxiv.org/abs/2012.15243) arXiv (Cornell University) · no summary yet**Hongming Zhang, Haoyu Wang, Dan Roth*2020 · 14 citations*
16. [**Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition arXiv:2505.22375**Hanting Chen, Yasheng Wang, Kai Han, et al.*2025 · 13 citations*](https://md.research.elamur.ai/free/en/papers/chen-2025-pangu-embedded-efficient-dual/)
17. **[Knowledge-Guided Paraphrase Identification ↗](https://aclanthology.org/2021.findings-emnlp.72/) Findings of the Association for Computational Linguistics: EMNLP 2021 · no summary yet**Haoyu Wang et al.*2021 · 12 citations*
18. **[Capturing the Content of a Document through Complex Event Identification ↗](https://aclanthology.org/2022.starsem-1.29/) Proceedings of the 11th Joint Conference on Lexical and Computational Semantics · no summary yet**Zheng Qi et al.*2022 · 5 citations*
19. **[Are All Steps Equally Important? Benchmarking Essentiality Detection in Event Processes ↗](https://aclanthology.org/2023.emnlp-main.246/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Haoyu Wang et al.*2023 · 2 citations*
20. **[Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs](https://md.research.elamur.ai/free/en/papers/liu-2026-representation-interventions-enable-lifelong-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xuyuan Liu, Shengyu Chen, Xinshuai Dong, et al.*2026 · 1 citation*
21. **[Why Did Apple Fall: Evaluating Curiosity in Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-why-did-apple-fall-evaluating/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haoyu Wang, Sihang Jiang, Yuyan Chen, et al.*2026 · 1 citation*
22. **[Evaluating the Expressive Appropriateness of Speech in Rich Contexts](https://md.research.elamur.ai/free/en/papers/wang-2026-evaluating-expressive-appropriateness-speech-rich/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianrui Wang, Ziyang Ma, Yizhou Peng, et al.*2026*
23. **[RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation](https://md.research.elamur.ai/free/en/papers/xu-2026-rag-wild-effectiveness-llms-mixture/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ran Xu, Yuchen Zhuang, Yue Yu, et al.*2026*
24. **[Are All Steps Equally Important? Benchmarking Essentiality Detection of Events ↗](https://arxiv.org/abs/2210.04074) arXiv (Cornell University) · no summary yet**Haoyu Wang et al.*2022*

## Co-authors here

12 of 45 co-authors with a page, the most papers together first.

- [Carl Yang](https://md.research.elamur.ai/free/en/authors/carl-yang/) ×2
- [Ran Xu](https://md.research.elamur.ai/free/en/authors/ran-xu/) ×2
- [Bin Wang](https://md.research.elamur.ai/free/en/authors/bin-wang/)
- [Bowen Zhou](https://md.research.elamur.ai/free/en/authors/bowen-zhou/)
- [Dan Roth](https://md.research.elamur.ai/free/en/authors/dan-roth/)
- [Dong Li](https://md.research.elamur.ai/free/en/authors/dong-li/)
- [Fei Mi](https://md.research.elamur.ai/free/en/authors/fei-mi/)
- [Guanrou Yang](https://md.research.elamur.ai/free/en/authors/guanrou-yang/)
- [Haifeng Chen](https://md.research.elamur.ai/free/en/authors/haifeng-chen/)
- [Hanting Chen](https://md.research.elamur.ai/free/en/authors/hanting-chen/)
- [Ilgee Hong](https://md.research.elamur.ai/free/en/authors/ilgee-hong/)
- [Jiansheng Wei](https://md.research.elamur.ai/free/en/authors/jiansheng-wei/)

## 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)](https://md.research.elamur.ai/free/en/venues/acl/) ×5: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×3
- Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) ×4
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2
- [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/): [Lecture notes in computer science 2024](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/2024/)
- [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2018](https://md.research.elamur.ai/free/en/venues/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

## Cited by

Papers of our library cite their works 554 times (of the 149,439 papers whose bibliographies we read); [80 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/haoyu-wang/cited-by/).

Updated 2 November 2026