---
title: "Haotian Ye · Stanford University — author profile and papers"
description: "Haotian Ye, Stanford University: 5 papers on Elamur Research (2023–2026), h-index 6 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/haotian-ye/"
---
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# Haotian Ye

Haotian Ye has 5 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [James Zou](https://md.research.elamur.ai/free/en/authors/james-zou/), [Chunlan Ma](https://md.research.elamur.ai/free/en/authors/chunlan-ma/), [Hinrich Schütze](https://md.research.elamur.ai/free/en/authors/hinrich-schutze/).

5 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5077279992) · [ORCID](https://orcid.org/0009-0000-6683-8816) · [**h-index 6**](https://openalex.org/authors/A5077279992) · [55 works](https://openalex.org/works?filter=author.id:A5077279992) · [166 citations](https://openalex.org/works?filter=author.id:A5077279992&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/haotian-ye/#papers) · [🔗 Cited 523 times in our library](https://md.research.elamur.ai/free/en/authors/haotian-ye/cited-by/) · [13 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6137](https://md.research.elamur.ai/free/en/paper-stars/page/62/#star-6137)

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

## Affiliations

[🎓**Stanford University** Stanford · United States 2023–2026 · 17 papers*current*](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**Peking University** Beijing · China 2021–2024 · 8 papers](https://md.research.elamur.ai/free/en/universities/peking-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## Fields, topics and concepts

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

📚 Shelves 10 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Biochemistry, Genetics and Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/)

🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Multilingual & cross-lingual NLP · 2 works](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/haotian-ye/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/haotian-ye/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/haotian-ye/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/haotian-ye/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews](https://md.research.elamur.ai/free/en/papers/liang-2024-monitoring-ai-modified-content/)** *(2024 · 119 citations)* Detecting LLM-written text one document at a time is unreliable, and humans perform barely better than chance at it.
2. **[In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering](https://md.research.elamur.ai/free/en/papers/liu-2023-context-vectors-making-context-learning/)** *(2023 · 89 citations)* In-context learning (ICL) lets LLMs pick up a task from a few demonstrations, but it is unreliable, sensitive to how prompts and examples are chosen, hard to tune quantitatively, and it uses context window space (e.g., the 4096-token limit of popular open models).
3. **[How Transliterations Improve Crosslingual Alignment](https://md.research.elamur.ai/free/en/papers/liu-2025-how-transliterations-improve-crosslingual-alignment/)** *(2025 · 12 citations)* Multilingual pretrained language models (mPLMs) transfer knowledge less effectively between languages written in different scripts.
4. **[TransMI: A Framework to Create Strong Baselines from Multilingual Pretrained Language Models for Transliterated Data](https://md.research.elamur.ai/free/en/papers/liu-2025-transmi-framework-create-strong-baselines/)** *(2025 · 10 citations)* Writing related languages in one shared script can improve crosslingual transfer. However, existing mPLMs split romanized text into meaningless pieces, so earlier work usually had to pretrain new models or run adaptation training. The authors propose TransMI (Transliterate-Merge-Initialize), a procedure that requires…
5. **[Reasoning or Knowledge: Stratified Evaluation of Biomedical LLMs](https://md.research.elamur.ai/free/en/papers/thapa-2026-reasoning-or-knowledge-stratified-evaluation/)** *(2026 · 1 citation)* Popular biomedical QA benchmarks such as MedQA, MedMCQA and PubMedQA mix two kinds of questions: some need multi-step clinical inference, and others only need a remembered fact.

## All works

18 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

1. **[Discovering Latent Knowledge in Language Models Without Supervision ↗](https://arxiv.org/abs/2212.03827) arXiv:2212.03827 · no summary yet**Collin Burns et al.*2022 · 250 citations*
2. **[Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective ↗](https://arxiv.org/abs/2305.15408) arXiv:2305.15408 · no summary yet**Guhao Feng et al.*2023 · 164 citations*
3. [**Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews arXiv:2403.07183**Weixin Liang, Zachary Izzo, Yaohui Zhang, et al.*2024 · 119 citations*](https://md.research.elamur.ai/free/en/papers/liang-2024-monitoring-ai-modified-content/)
4. [**In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering arXiv:2311.06668**Sheng Liu, Haotian Ye, Lei Xing, et al.*2023 · 89 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-context-vectors-making-context-learning/)
5. **[DiffusionNFT: Online Diffusion Reinforcement with Forward Process ↗](https://arxiv.org/abs/2509.16117) arXiv (Cornell University) · no summary yet**Kaiwen Zheng et al.*2025 · 26 citations*
6. **[TFG: Unified Training-Free Guidance for Diffusion Models ↗](https://doi.org/10.52202/079017-0704) neural information processing systems · no summary yet**Haotian Ye et al.*2024 · 16 citations*
7. **[How Transliterations Improve Crosslingual Alignment](https://md.research.elamur.ai/free/en/papers/liu-2025-how-transliterations-improve-crosslingual-alignment/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yihong Liu, Mingyang Wang, Amir Hossein Kargaran, et al.*2025 · 12 citations*
8. **[TransMI: A Framework to Create Strong Baselines from Multilingual Pretrained Language Models for Transliterated Data](https://md.research.elamur.ai/free/en/papers/liu-2025-transmi-framework-create-strong-baselines/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yihong Liu, Chunlan Ma, Haotian Ye, et al.*2025 · 10 citations*
9. **[Structured Scaling of AI Discovery Across Diverse Scientific Domains ↗](https://arxiv.org/abs/2604.19341) arXiv (Cornell University) · no summary yet**Haotian Ye et al.*2026 · 7 citations*
10. **[Geometric Trajectory Diffusion Models ↗](https://doi.org/10.52202/079017-0806) neural information processing systems · no summary yet**Jiaqi Han et al.*2024 · 7 citations*
11. **[Data-regularized Reinforcement Learning for Diffusion Models at Scale ↗](https://arxiv.org/abs/2512.04332) arXiv:2512.04332 · no summary yet**Haotian Ye et al.*2025 · 4 citations*
12. **[CHORDS: Diffusion Sampling Accelerator with Multi-Core Hierarchical ODE Solvers ↗](https://doi.org/10.1109/iccv51701.2025.01802) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Jiaqi Han et al.*2025 · 2 citations*
13. **[Reasoning or Knowledge: Stratified Evaluation of Biomedical LLMs](https://md.research.elamur.ai/free/en/papers/thapa-2026-reasoning-or-knowledge-stratified-evaluation/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Rahul Thapa, Qingyang Wu, Kevin Wu, et al.*2026 · 1 citation*
14. **[Discrete Diffusion Trajectory Alignment via Stepwise Decomposition ↗](https://arxiv.org/abs/2507.04832) arXiv (Cornell University) · no summary yet**Jiaqi Han et al.*2025 · 1 citation*
15. **[TFG-Flow: Training-free Guidance in Multimodal Generative Flow ↗](https://arxiv.org/abs/2501.14216) arXiv (Cornell University) · no summary yet**Haowei Lin et al.*2025 · 1 citation*
16. **[Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration ↗](https://arxiv.org/abs/2603.01623) arXiv (Cornell University) · no summary yet**Jiaqi Han et al.*2026*
17. **[REAR: Rethinking Visual Autoregressive Models via Generator-Tokenizer Consistency Regularization ↗](https://arxiv.org/abs/2510.04450) arXiv (Cornell University) · no summary yet**He, Qiyuan et al.*2025*
18. **[InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression ↗](https://arxiv.org/abs/2512.16975) arXiv (Cornell University) · no summary yet**Haotian Ye et al.*2025*

## Co-authors here

12 of 20 co-authors with a page, the most papers together first.

- [James Zou](https://md.research.elamur.ai/free/en/authors/james-zou/) ×3
- [Chunlan Ma](https://md.research.elamur.ai/free/en/authors/chunlan-ma/) ×2
- [Hinrich Schütze](https://md.research.elamur.ai/free/en/authors/hinrich-schutze/) ×2
- [Sheng Liu](https://md.research.elamur.ai/free/en/authors/sheng-liu/) ×2
- [Yihong Liu](https://md.research.elamur.ai/free/en/authors/yihong-liu/) ×2
- [Amir Hossein Kargaran](https://md.research.elamur.ai/free/en/authors/amir-hossein-kargaran/)
- [Daniel A. McFarland](https://md.research.elamur.ai/free/en/authors/daniel-a-mcfarland/)
- [Eric Wu](https://md.research.elamur.ai/free/en/authors/eric-wu/)
- [François Yvon](https://md.research.elamur.ai/free/en/authors/francois-yvon/)
- [Haley Lepp](https://md.research.elamur.ai/free/en/authors/haley-lepp/)
- [Hancheng Cao](https://md.research.elamur.ai/free/en/authors/hancheng-cao/)
- [Kevin Wu](https://md.research.elamur.ai/free/en/authors/kevin-wu/)

## Venues

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

- [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/) ×2: [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/) ×2
- neural information processing systems ×2
- [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/)
- IEEE/CVF International Conference on Computer Vision (ICCV)

## Cited by

Papers of our library cite their works 523 times (of the 149,439 papers whose bibliographies we read); [123 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/haotian-ye/cited-by/).

Updated 2 November 2026