---
title: "Li Li — author profile and papers · Language models & pretraining"
description: "Li Li, University of Science and Technology of China: 2 papers on Elamur Research (2026), h-index 14 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/li-li/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/li-li/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Li Li

# Li Li

Li Li has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Houqiang Li](https://md.research.elamur.ai/free/en/authors/houqiang-li/), [Jianfeng Cai](https://md.research.elamur.ai/free/en/authors/jianfeng-cai/), [Jinhua Zhu](https://md.research.elamur.ai/free/en/authors/jinhua-zhu/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5100361101) · [ORCID](https://orcid.org/0000-0002-1264-7819) · [**h-index 14**](https://openalex.org/authors/A5100361101) · [135 works](https://openalex.org/works?filter=author.id:A5100361101) · [962 citations](https://openalex.org/works?filter=author.id:A5100361101&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/li-li/#papers) · 🔗 Cited 4 times in our library · [⭐ Paper Stars ranking: #10721](https://md.research.elamur.ai/free/en/paper-stars/page/108/#star-10721)

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

## Affiliations

[🏛️**Chinese Academy of Sciences** Beijing · China 1999–2026 · 29 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of High Energy Physics** Beijing · China 2009–2026 · 24 papers*current*](https://ror.org/03v8tnc06) · [🎓**Hubei University of Science and Technology** Xianning · China 2005–2026 · 2 papers*current*](https://ror.org/018wg9441) · [🎓**Nanjing Institute of Technology** Nanjing · China 2026 · 2 papers*current*](https://ror.org/00n6txq60) · [🎓**University of Science and Technology of China** Hefei · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🏢**State Grid Corporation of China** Beijing · China 2015–2020 · 6 papers](https://md.research.elamur.ai/free/en/companies/state-grid-corporation-of-china/) · [🎓**Ghent University** Ghent · Belgium 2011–2016 · 4 papers](https://md.research.elamur.ai/free/en/universities/ghent-university/) · [🏛️**Key Laboratory of Nuclear Radiation and Nuclear Energy Technology** Shanghai · China 2014–2015 · 4 papers](https://ror.org/03prcq065) · [🔬**China Institute of Atomic Energy** Beijing · China 1998–2011 · 3 papers](https://ror.org/00v5gqm66) · [🎓**Guangdong University of Technology** Guangzhou · China 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/guangdong-university-of-technology/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 40 more institutions on single bylines are not listed.

## Fields, topics and concepts

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

📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[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/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

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

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Beyond End-to-End: Dynamic Chain Optimization for Private LLM Adaptation on the Edge](https://md.research.elamur.ai/free/en/papers/wu-2026-beyond-end-end-dynamic-chain/)** *(2026 · 2 citations)* Federated fine-tuning lets LLMs be adapted to private data that never leaves user devices. However, even adapter-based approaches still require the whole model in memory, which excludes phones and other edge hardware with roughly 4–12GB. The authors show that frozen base weights, not activations or adapters, dominate…
2. **[Bias Fitting to Mitigate Length Bias of Reward Model in RLHF](https://md.research.elamur.ai/free/en/papers/zhao-2026-bias-fitting-mitigate-length-bias/)** *(2026 · 2 citations)* Reward models used in RLHF often give higher scores to longer answers whether or not those answers are better.

## Co-authors here

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

- [Houqiang Li](https://md.research.elamur.ai/free/en/authors/houqiang-li/)
- [Jianfeng Cai](https://md.research.elamur.ai/free/en/authors/jianfeng-cai/)
- [Jinhua Zhu](https://md.research.elamur.ai/free/en/authors/jinhua-zhu/)
- [Wengang Zhou](https://md.research.elamur.ai/free/en/authors/wengang-zhou/)
- [Zhijiang Guo](https://md.research.elamur.ai/free/en/authors/zhijiang-guo/)

## 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

## Cited by

Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read).

Updated 1 November 2026
