---
title: "Yulan Hu · Alibaba Group — author profile and papers"
description: "Yulan Hu, Alibaba Group: 4 papers on Elamur Research (2024–2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/yulan-hu/"
---
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# Yulan Hu

Yulan Hu has 4 papers in our library, in 2024–2026, 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/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Jinman Zhao](https://md.research.elamur.ai/free/en/authors/jinman-zhao/), [Xin Li](https://md.research.elamur.ai/free/en/authors/xin-li/), [Zheng Pan](https://md.research.elamur.ai/free/en/authors/zheng-pan/).

4 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5139795083) · [**h-index 0**](https://openalex.org/authors/A5139795083) · [3 works](https://openalex.org/works?filter=author.id:A5139795083) · [0 citations](https://openalex.org/works?filter=author.id:A5139795083&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/yulan-hu/#papers) · [🔗 Cited 19 times in our library](https://md.research.elamur.ai/free/en/authors/yulan-hu/cited-by/) · [⭐ Paper Stars ranking: #10273](https://md.research.elamur.ai/free/en/paper-stars/page/103/#star-10273)

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

## Affiliations

[🏢**Alibaba Group** Hangzhou · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/)

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 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 4 Research subjects and languages the work is about.[Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Role-Play Paradox in Large Language Models: Reasoning Performance Gains and Ethical Dilemmas](https://md.research.elamur.ai/free/en/papers/zhao-2024-role-play-paradox-large-language/)** *(2024 · 9 citations)* Role-play prompting, where an LLM is told to act as a teacher, scriptwriter, or even an object like a coin, is known to improve reasoning.
2. **[Tiny Budgets, Big Gains: Parameter Placement Strategy in Parameter Super-Efficient Fine-Tuning](https://md.research.elamur.ai/free/en/papers/zhao-2025-tiny-budgets-big-gains-parameter/)** *(2025 · 8 citations)* Parameter-efficient fine-tuning methods such as LoRA lower the cost of adapting large models. Yet models now reach hundreds of billions of parameters, so even rank-1 LoRA can be too heavy for mobile hardware or labs with little compute. The authors ask how a very small, fixed budget of trainable parameters should be…
3. **[No More Stale Feedback: Co-Evolving Critics for Open-World Agent Learning](https://md.research.elamur.ai/free/en/papers/li-2026-no-more-stale-feedback-co/)** *(2026 · 3 citations)* Critique-guided reinforcement learning supplements sparse outcome rewards for LLM agents with natural-language feedback.
4. **[Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward Modeling](https://md.research.elamur.ai/free/en/papers/wang-2026-aligning-agents-planning-benchmark-trajectory/)** *(2026)* As LLMs turn into agents that call tools over many turns, reward models must judge entire interaction trajectories, not just single replies.

## Co-authors here

12 of 16 co-authors with a page, the most papers together first.

- [Jinman Zhao](https://md.research.elamur.ai/free/en/authors/jinman-zhao/) ×2
- [Xin Li](https://md.research.elamur.ai/free/en/authors/xin-li/) ×2
- [Zheng Pan](https://md.research.elamur.ai/free/en/authors/zheng-pan/) ×2
- [Erxue Min](https://md.research.elamur.ai/free/en/authors/erxue-min/)
- [Gerald Penn](https://md.research.elamur.ai/free/en/authors/gerald-penn/)
- [Guanhua Chen](https://md.research.elamur.ai/free/en/authors/guanhua-chen/)
- [Jiaru Li](https://md.research.elamur.ai/free/en/authors/jiaru-li/)
- [Jiaxuan Wang](https://md.research.elamur.ai/free/en/authors/jiaxuan-wang/)
- [Lan-Zhe Guo](https://md.research.elamur.ai/free/en/authors/lan-zhe-guo/)
- [Linbo Cao](https://md.research.elamur.ai/free/en/authors/linbo-cao/)
- [Lingjie Jiang](https://md.research.elamur.ai/free/en/authors/lingjie-jiang/)
- [Xueyan Zhang](https://md.research.elamur.ai/free/en/authors/xueyan-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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)

## Cited by

Papers of our library cite their works 19 times (of the 149,439 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yulan-hu/cited-by/).

Updated 2 November 2026
