---
title: "Kaiyue Wen — author profile and papers — Elamur Research"
description: "Kaiyue Wen, Shanghai University of Finance and Economics: 2 papers on Elamur Research (2022–2025), h-index 3 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/kaiyue-wen/"
---
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# Kaiyue Wen

Kaiyue Wen has 2 papers in our library, in 2022–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Interpretability](https://md.research.elamur.ai/free/en/topics/interpretability/); often with [Bo Zheng](https://md.research.elamur.ai/free/en/authors/bo-zheng/), [Dayiheng Liu](https://md.research.elamur.ai/free/en/authors/dayiheng-liu/), [Ivan Titov](https://md.research.elamur.ai/free/en/authors/ivan-titov/).

2 papers in our library · 2022–2025

[OpenAlex](https://openalex.org/A5008378675) · [ORCID](https://orcid.org/0009-0002-9168-1851) · [**h-index 3**](https://openalex.org/authors/A5008378675) · [31 works](https://openalex.org/works?filter=author.id:A5008378675) · [109 citations](https://openalex.org/works?filter=author.id:A5008378675&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/kaiyue-wen/#papers) · [🔗 Cited 183 times in our library](https://md.research.elamur.ai/free/en/authors/kaiyue-wen/cited-by/) · [8 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7812](https://md.research.elamur.ai/free/en/paper-stars/page/79/#star-7812)

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=Kaiyue+Wen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kaiyue+Wen) · [dblp](https://dblp.org/search?q=Kaiyue+Wen) · [ACL Anthology](https://aclanthology.org/search/?q=Kaiyue+Wen)

## Affiliations

[🎓**Stanford University** Stanford · United States 2024–2026 · 17 papers*current*](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🏢**Huawei Technologies** Shenzhen · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) · [🎓**Shanghai University of Finance and Economics** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/shanghai-university-of-finance-and-economics/) · [🎓**Tsinghua University** Beijing · China 2022–2024 · 4 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

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

📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 2 Research subjects and languages the work is about.[Interpretability · 1 work](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/kaiyue-wen/year/2025/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/kaiyue-wen/year/2022/)

## Papers

The most cited first (OpenAlex and our library).

1. **[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/)** *(2022 · 85 citations)* Pre-trained Transformers perform well across many NLP tasks, but it is unclear where task-relevant abilities sit among their parameters.
2. **[Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models](https://md.research.elamur.ai/free/en/papers/qiu-2025-demons-detail-implementing-load-balancing/)** *(2025 · 21 citations)* Mixture-of-Experts LLMs rely on a Load-balancing Loss (LBL) so that the router spreads tokens across experts.

## All works

10 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[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*
2. **[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*
3. **[Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models](https://md.research.elamur.ai/free/en/papers/qiu-2025-demons-detail-implementing-load-balancing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zihan Qiu, Zeyu Huang, Bo Zheng, et al.*2025 · 21 citations*
4. **[Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective ↗](https://arxiv.org/abs/2410.05192) arXiv (Cornell University) · no summary yet**Kaiyue Wen et al.*2024 · 18 citations*
5. **[RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval ↗](https://arxiv.org/abs/2402.18510) arXiv:2402.18510 · no summary yet**Kaiyue Wen, Xingyu Dang, Kaifeng Lyu*2024 · 17 citations*
6. **[Fantastic Pretraining Optimizers and Where to Find Them ↗](https://arxiv.org/abs/2509.02046) arXiv (Cornell University) · no summary yet**Kaiyue Wen et al.*2025 · 11 citations*
7. **[Weight Ensembling Improves Reasoning in Language Models ↗](https://arxiv.org/abs/2504.10478) arXiv:2504.10478 · COLM 2025 · no summary yet**Xingyu Dang et al.*2025 · 10 citations*
8. **[Overtrained Language Models Are Harder to Fine-Tune ↗](https://arxiv.org/abs/2503.19206) arXiv (Cornell University) · no summary yet**Jacob M. Springer et al.*2025 · 8 citations*
9. **[Fantastic Pretraining Optimizers and Where to Find Them II: Hyperball Optimization ↗](https://arxiv.org/abs/2606.16899) arXiv (Cornell University) · no summary yet**Kaiyue Wen et al.*2026 · 2 citations*
10. **[Priced Guidance: Can Language Models Generate Future Research Ideas? ↗](https://arxiv.org/abs/2610.04976) arXiv (Cornell University) · no summary yet**Kaiyue Wen, Tengyu Ma, Percy Liang*2026*

## Co-authors here

12 of 13 co-authors with a page, the most papers together first.

- [Bo Zheng](https://md.research.elamur.ai/free/en/authors/bo-zheng/)
- [Dayiheng Liu](https://md.research.elamur.ai/free/en/authors/dayiheng-liu/)
- [Ivan Titov](https://md.research.elamur.ai/free/en/authors/ivan-titov/)
- [Jingren Zhou](https://md.research.elamur.ai/free/en/authors/jingren-zhou/)
- [Juanzi Li](https://md.research.elamur.ai/free/en/authors/juanzi-li/)
- [Junyang Lin](https://md.research.elamur.ai/free/en/authors/junyang-lin/)
- [Lei Hou](https://md.research.elamur.ai/free/en/authors/lei-hou/)
- [Rui Men](https://md.research.elamur.ai/free/en/authors/rui-men/)
- [Xiaozhi Wang](https://md.research.elamur.ai/free/en/authors/xiaozhi-wang/)
- [Zekun Wang](https://md.research.elamur.ai/free/en/authors/zekun-wang/)
- [Zeyu Huang](https://md.research.elamur.ai/free/en/authors/zeyu-huang/)
- [Zhengyan Zhang](https://md.research.elamur.ai/free/en/authors/zhengyan-zhang/)

## 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/): [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2022](https://md.research.elamur.ai/free/en/venues/emnlp/2022/)
- Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

## Cited by

Papers of our library cite their works 183 times (of the 149,439 papers whose bibliographies we read); [26 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/kaiyue-wen/cited-by/).

Updated 30 October 2026
