---
title: "Zhuo Li — author profile and papers — Elamur Research"
description: "Zhuo Li, Harbin Institute of Technology: 4 papers on Elamur Research (2025–2026), h-index 0 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/zhuo-li/"
---
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# Zhuo Li

Zhuo Li has 4 papers in our library, in 2025–2026, 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/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Jinpeng Hu](https://md.research.elamur.ai/free/en/authors/jinpeng-hu/), [Anningzhe Gao](https://md.research.elamur.ai/free/en/authors/anningzhe-gao/), [Xiang Wan](https://md.research.elamur.ai/free/en/authors/xiang-wan/).

4 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5139847551) · [**h-index 0**](https://openalex.org/authors/A5139847551) · [4 works](https://openalex.org/works?filter=author.id:A5139847551) · [0 citations](https://openalex.org/works?filter=author.id:A5139847551&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/zhuo-li/#papers) · [🔗 Cited 17 times in our library](https://md.research.elamur.ai/free/en/authors/zhuo-li/cited-by/) · [⭐ Paper Stars ranking: #8912](https://md.research.elamur.ai/free/en/paper-stars/page/90/#star-8912)

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

## Affiliations

[🎓**Chinese University of Hong Kong, Shenzhen** Shenzhen · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong-shenzhen/) · [🏢**Alibaba Group** Hangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**Harbin Institute of Technology** Harbin · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/)

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

🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 4 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/zhuo-li/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/zhuo-li/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs](https://md.research.elamur.ai/free/en/papers/li-2025-self-instructed-derived-prompt-generation/)** *(2025 · 9 citations)* Rewriting prompts is a common way to get better answers from LLMs that cannot be fine-tuned, such as GPT4.
2. **[Psyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and Reasoning](https://md.research.elamur.ai/free/en/papers/dai-2026-psyche-r1-reliable-psychological-llms/)** *(2026 · 8 citations)* Psyche-R1 is a Chinese psychological LLM that combines three abilities usually built separately: empathetic counselling, psychology domain knowledge, and explicit reasoning.
3. **[Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm](https://md.research.elamur.ai/free/en/papers/li-2025-add-one-incremental-sample-selection/)** *(2025 · 5 citations)* Picking a compact, high-value subset of instruction data can cut supervised fine-tuning (SFT) costs for LLMs.
4. **[Safeguarding LLM Fine-tuning via Push-Pull Distributional Alignment](https://md.research.elamur.ai/free/en/papers/wang-2026-safeguarding-llm-fine-tuning-push/)** *(2026)* Fine-tuning a safety-aligned LLM on user data can weaken its refusal behaviour, even when the data looks harmless.

## Co-authors here

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

- [Jinpeng Hu](https://md.research.elamur.ai/free/en/authors/jinpeng-hu/) ×3
- [Anningzhe Gao](https://md.research.elamur.ai/free/en/authors/anningzhe-gao/) ×2
- [Xiang Wan](https://md.research.elamur.ai/free/en/authors/xiang-wan/) ×2
- [Yuhao Du](https://md.research.elamur.ai/free/en/authors/yuhao-du/) ×2
- [Dandan Guo](https://md.research.elamur.ai/free/en/authors/dandan-guo/)
- [Meng Wang](https://md.research.elamur.ai/free/en/authors/meng-wang/)
- [Steven Y. Guo](https://md.research.elamur.ai/free/en/authors/steven-y-guo/)
- [Xiaoqi Jiao](https://md.research.elamur.ai/free/en/authors/xiaoqi-jiao/)
- [Xun Yang](https://md.research.elamur.ai/free/en/authors/xun-yang/)
- [Yibo Yang](https://md.research.elamur.ai/free/en/authors/yibo-yang/)

## 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/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2, [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 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)

## Cited by

Papers of our library cite their works 17 times (of the 149,439 papers whose bibliographies we read); [5 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhuo-li/cited-by/).

Updated 1 November 2026
