🧑‍🔬 Haotian Ye

🏛️ Affiliations

🎓Stanford UniversityStanford · United States2023–2026 · 17 paperscurrent🎓Peking UniversityBeijing · China2021–2024 · 8 papers

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. How Transliterations Improve Crosslingual Alignment (2025 · 12 citations)
   Multilingual pretrained language models (mPLMs) transfer knowledge less effectively between languages written in different scripts.
2. TransMI: A Framework to Create Strong Baselines from Multilingual Pretrained Language Models for Transliterated Data (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…
3. Reasoning or Knowledge: Stratified Evaluation of Biomedical LLMs (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; 3 with a page here, the others link their original until we summarise them.

1. Discovering Latent Knowledge in Language Models Without Supervision ↗arXiv:2212.03827 · no summary yetCollin Burns et al.2022 · 250 citations
2. Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective ↗arXiv:2305.15408 · no summary yetGuhao 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 · no summary yetWeixin Liang et al.2024 · 119 citations
4. In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering ↗arXiv:2311.06668 · no summary yetSheng Liu et al.2023 · 89 citations
5. DiffusionNFT: Online Diffusion Reinforcement with Forward Process ↗arXiv (Cornell University) · no summary yetKaiwen Zheng et al.2025 · 26 citations
6. TFG: Unified Training-Free Guidance for Diffusion Models ↗neural information processing systems · no summary yetHaotian Ye et al.2024 · 16 citations
7. How Transliterations Improve Crosslingual AlignmentInternational Conference on Computational Linguistics (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 DataInternational Conference on Computational Linguistics (COLING)Yihong Liu, Chunlan Ma, Haotian Ye, et al.2025 · 10 citations
9. Structured Scaling of AI Discovery Across Diverse Scientific Domains ↗arXiv (Cornell University) · no summary yetHaotian Ye et al.2026 · 7 citations
10. Geometric Trajectory Diffusion Models ↗neural information processing systems · no summary yetJiaqi Han et al.2024 · 7 citations
11. Data-regularized Reinforcement Learning for Diffusion Models at Scale ↗arXiv:2512.04332 · no summary yetHaotian Ye et al.2025 · 4 citations
12. CHORDS: Diffusion Sampling Accelerator with Multi-Core Hierarchical ODE Solvers ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetJiaqi Han et al.2025 · 2 citations
13. Reasoning or Knowledge: Stratified Evaluation of Biomedical LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Rahul Thapa, Qingyang Wu, Kevin Wu, et al.2026 · 1 citation
14. Discrete Diffusion Trajectory Alignment via Stepwise Decomposition ↗arXiv (Cornell University) · no summary yetJiaqi Han et al.2025 · 1 citation
15. TFG-Flow: Training-free Guidance in Multimodal Generative Flow ↗arXiv (Cornell University) · no summary yetHaowei Lin et al.2025 · 1 citation
16. Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration ↗arXiv (Cornell University) · no summary yetJiaqi Han et al.2026
17. REAR: Rethinking Visual Autoregressive Models via Generator-Tokenizer Consistency Regularization ↗arXiv (Cornell University) · no summary yetHe, Qiyuan et al.2025
18. InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression ↗arXiv (Cornell University) · no summary yetHaotian Ye et al.2025

🤝 Co-authors here

11 co-authors with a page, the most papers together first.

• Chunlan Ma ×2
• Hinrich Schütze ×2
• Yihong Liu ×2
• Amir Hossein Kargaran
• Eric Wu
• François Yvon
• James Zou
• Kevin Wu
• Mingyang Wang
• Qingyang Wu
• Rahul Thapa

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) ×2: COLING 2025 ×2
• neural information processing systems ×2
• Conference of the European Chapter of the Association for Computational Linguistics (EACL): 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); 89 citing papers with a page here →.

Updated 31 October 2026

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