---
title: "Ermo Hua — author profile and papers — Elamur Research"
description: "Ermo Hua, Shanghai Artificial Intelligence Laboratory: 3 papers on Elamur Research (2024–2025), h-index 5 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/ermo-hua/"
---
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# Ermo Hua

Ermo Hua has 3 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Kaiyan Zhang](https://md.research.elamur.ai/free/en/authors/kaiyan-zhang/), [Biqing Qi](https://md.research.elamur.ai/free/en/authors/biqing-qi/), [Bowen Zhou](https://md.research.elamur.ai/free/en/authors/bowen-zhou/).

3 papers in our library · 2024–2025

[OpenAlex](https://openalex.org/A5094087237) · [**h-index 5**](https://openalex.org/authors/A5094087237) · [24 works](https://openalex.org/works?filter=author.id:A5094087237) · [68 citations](https://openalex.org/works?filter=author.id:A5094087237&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/ermo-hua/#papers) · [🔗 Cited 154 times in our library](https://md.research.elamur.ai/free/en/authors/ermo-hua/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6959](https://md.research.elamur.ai/free/en/paper-stars/page/70/#star-6959)

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

## Affiliations

[🎓**Tsinghua University** Beijing · China 2024–2026 · 14 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2025–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/)

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 9 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Biochemistry, Genetics and Molecular Biology · 2 works](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Health Informatics · 2 works](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Medicine · 2 works](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Molecular Biology · 2 works](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

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

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[TTRL: Test-Time Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/zuo-2025-ttrl-test-time-reinforcement-learning/)** *(2025 · 76 citations)* Reinforcement learning is now a main way to strengthen reasoning in large language models, but it usually needs labeled answers.
2. **[MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding](https://md.research.elamur.ai/free/en/papers/zuo-2025-medxpertqa-benchmarking-expert-level-medical/)** *(2025 · 65 citations)* Popular medical QA benchmarks such as MedQA and MMLU (Medical) no longer challenge frontier models. o1-preview reportedly reaches 96% on MedQA-USMLE. Multimodal sets like VQA-Rad or PMC-VQA mostly contain simple caption-derived questions without clinical context. MedXpertQA addresses both gaps. This multiple-choice…
3. **[Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation](https://md.research.elamur.ai/free/en/papers/qi-2024-large-language-models-biomedical-hypothesis/)** *(2024 · 19 citations)* The paper asks whether large language models can propose genuinely new biomedical hypotheses, rather than repeating knowledge absorbed during pre-training.

## All works

4 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. **[TTRL: Test-Time Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/zuo-2025-ttrl-test-time-reinforcement-learning/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yuxin Zuo, Kaiyan Zhang, Li Sheng, et al.*2025 · 76 citations*
2. [**MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding arXiv:2501.18362**Yuxin Zuo, Shang Qu, Yifei Li, et al.*2025 · 65 citations*](https://md.research.elamur.ai/free/en/papers/zuo-2025-medxpertqa-benchmarking-expert-level-medical/)
3. [**Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation arXiv:2407.08940**Biqing Qi, Kaiyan Zhang, Kai Tian, et al.*2024 · 19 citations*](https://md.research.elamur.ai/free/en/papers/qi-2024-large-language-models-biomedical-hypothesis/)
4. **[Automating Exploratory Proteomics Research via Language Models ↗](https://arxiv.org/abs/2411.03743) arXiv:2411.03743 · no summary yet**Ning Ding et al.*2024 · 6 citations*

## Co-authors here

12 of 15 co-authors with a page, the most papers together first.

- [Kaiyan Zhang](https://md.research.elamur.ai/free/en/authors/kaiyan-zhang/) ×3
- [Biqing Qi](https://md.research.elamur.ai/free/en/authors/biqing-qi/) ×2
- [Bowen Zhou](https://md.research.elamur.ai/free/en/authors/bowen-zhou/) ×2
- [Shang Qu](https://md.research.elamur.ai/free/en/authors/shang-qu/) ×2
- [Xuekai Zhu](https://md.research.elamur.ai/free/en/authors/xuekai-zhu/) ×2
- [Yuxin Zuo](https://md.research.elamur.ai/free/en/authors/yuxin-zuo/) ×2
- [Ganqu Cui](https://md.research.elamur.ai/free/en/authors/ganqu-cui/)
- [Haozhan Li](https://md.research.elamur.ai/free/en/authors/haozhan-li/)
- [Kai Tian](https://md.research.elamur.ai/free/en/authors/kai-tian/)
- [Li Sheng](https://md.research.elamur.ai/free/en/authors/li-sheng/)
- [Ning Ding](https://md.research.elamur.ai/free/en/authors/ning-ding/)
- [Sihang Zeng](https://md.research.elamur.ai/free/en/authors/sihang-zeng/)

## Venues

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

- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/)

## Cited by

Papers of our library cite their works 154 times (of the 149,439 papers whose bibliographies we read); [55 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ermo-hua/cited-by/).

Updated 2 November 2026
