---
title: "Chuancheng Lv — author profile and papers — Elamur Research"
description: "Chuancheng Lv, Tsinghua University: 2 papers on Elamur Research (2023–2025), h-index 5 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/chuancheng-lv/"
---
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# Chuancheng Lv

Chuancheng Lv has 2 papers in our library, in 2023–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Maosong Sun](https://md.research.elamur.ai/free/en/authors/maosong-sun/), [Baobao Chang](https://md.research.elamur.ai/free/en/authors/baobao-chang/), [Fanchao Qi](https://md.research.elamur.ai/free/en/authors/fanchao-qi/).

2 papers in our library · 2023–2025

[OpenAlex](https://openalex.org/A5003894157) · [**h-index 5**](https://openalex.org/authors/A5003894157) · [11 works](https://openalex.org/works?filter=author.id:A5003894157) · [241 citations](https://openalex.org/works?filter=author.id:A5003894157&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/chuancheng-lv/#papers) · [🔗 Cited 342 times in our library](https://md.research.elamur.ai/free/en/authors/chuancheng-lv/cited-by/) · [⭐ Paper Stars ranking: #4628](https://md.research.elamur.ai/free/en/paper-stars/page/47/#star-4628)

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

## Affiliations

[🎓**Tsinghua University** Beijing · China 2021–2025 · 7 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Tsinghua Shenzhen International Graduate School** Shenzhen · China 2022–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-shenzhen-international-graduate-school/) · [🔬**Peng Cheng Laboratory** Shenzhen · China 2022–2024 · 2 papers](https://md.research.elamur.ai/free/en/labs/peng-cheng-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 6 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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/)

🧭 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

[**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/chuancheng-lv/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/chuancheng-lv/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models](https://md.research.elamur.ai/free/en/papers/huang-2023-c-eval-multi-level-multi/)** *(2023 · 428 citations)* Most benchmarks for large language models are built in English and mirror the knowledge of English-speaking regions, so they say little about how well a model serves Chinese users.
2. **[GATEAU: Selecting Influential Samples for Long Context Alignment](https://md.research.elamur.ai/free/en/papers/si-2025-gateau-selecting-influential-samples-long/)** *(2025 · 5 citations)* Teaching LLMs to follow instructions over very long inputs is hard because human annotation of long instruction-following data is costly.

## Co-authors here

12 of 17 co-authors with a page, the most papers together first.

- [Maosong Sun](https://md.research.elamur.ai/free/en/authors/maosong-sun/) ×2
- [Baobao Chang](https://md.research.elamur.ai/free/en/authors/baobao-chang/)
- [Fanchao Qi](https://md.research.elamur.ai/free/en/authors/fanchao-qi/)
- [Gang Chen](https://md.research.elamur.ai/free/en/authors/gang-chen/)
- [Haozhe Zhao](https://md.research.elamur.ai/free/en/authors/haozhe-zhao/)
- [Jinghan Zhang](https://md.research.elamur.ai/free/en/authors/jinghan-zhang/)
- [Junlei Zhang](https://md.research.elamur.ai/free/en/authors/junlei-zhang/)
- [Junteng Liu](https://md.research.elamur.ai/free/en/authors/junteng-liu/)
- [Kaikai An](https://md.research.elamur.ai/free/en/authors/kaikai-an/)
- [Kangyang Luo](https://md.research.elamur.ai/free/en/authors/kangyang-luo/)
- [Shuzheng Si](https://md.research.elamur.ai/free/en/authors/shuzheng-si/)
- [Yao Fu](https://md.research.elamur.ai/free/en/authors/yao-fu/)

## Venues

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

- [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 342 times (of the 149,439 papers whose bibliographies we read); [140 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chuancheng-lv/cited-by/).

Updated 2 November 2026
