---
title: "Kuikun Liu — author profile and papers — Elamur Research"
description: "Kuikun Liu, Shanghai Artificial Intelligence Laboratory: 3 papers on Elamur Research (2024–2026), h-index 5 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/kuikun-liu/"
---
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# Kuikun Liu

Kuikun Liu has 3 papers in our library, in 2024–2026; often with [Kai Chen](https://md.research.elamur.ai/free/en/authors/kai-chen/), [Wenwei Zhang](https://md.research.elamur.ai/free/en/authors/wenwei-zhang/), [Feng Zhao](https://md.research.elamur.ai/free/en/authors/feng-zhao/).

3 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5050684712) · [**h-index 5**](https://openalex.org/authors/A5050684712) · [24 works](https://openalex.org/works?filter=author.id:A5050684712) · [135 citations](https://openalex.org/works?filter=author.id:A5050684712&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/kuikun-liu/#papers) · [🔗 Cited 429 times in our library](https://md.research.elamur.ai/free/en/authors/kuikun-liu/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7080](https://md.research.elamur.ai/free/en/paper-stars/page/71/#star-7080)

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

## Affiliations

[🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2023–2026 · 14 papers*current*](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2020–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## 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).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2024-agent-flan-designing-data-methods/)** *(2024 · 64 citations)* Open-source LLMs still perform much worse than API-based systems such as GPT-4 when used as agents. Tuning them on agent-specific data can also weaken their general skills. The authors make three diagnostic observations:
2. **[MindSearch: Mimicking Human Minds Elicits Deep AI Searcher](https://md.research.elamur.ai/free/en/papers/chen-2024-mindsearch-mimicking-human-minds-elicits/)** *(2024 · 20 citations)* Pairing LLMs with web search often fails on complex questions. A single retrieval pass rarely covers everything the question needs. Relevant facts are scattered across many noisy pages, and the combined page text quickly exceeds the model's context window. MindSearch addresses this with a two-role multi-agent design…
3. **[SciExplore: Evaluating Autonomous Agents from Scientific Navigation to Information Integration](https://md.research.elamur.ai/free/en/papers/tang-2026-sciexplore-evaluating-autonomous-agents-scientific/)** *(2026)* Benchmarks for LLM search agents tend to focus on open-web, general-domain lookup or on closed-book science questions.

## 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. **[InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning ↗](https://arxiv.org/abs/2402.06332) arXiv:2402.06332 · no summary yet**Huaiyuan Ying et al.*2024 · 90 citations*
2. **[Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2024-agent-flan-designing-data-methods/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zehui Chen, Kuikun Liu, Qiuchen Wang, et al.*2024 · 64 citations*
3. [**MindSearch: Mimicking Human Minds Elicits Deep AI Searcher arXiv:2407.20183**Zehui Chen, Kuikun Liu, Qiuchen Wang, et al.*2024 · 20 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-mindsearch-mimicking-human-minds-elicits/)
4. **[SciExplore: Evaluating Autonomous Agents from Scientific Navigation to Information Integration](https://md.research.elamur.ai/free/en/papers/tang-2026-sciexplore-evaluating-autonomous-agents-scientific/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yinhao Tang, Youqing Fang, Yanan Sun, et al.*2026*

## Co-authors here

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

- [Kai Chen](https://md.research.elamur.ai/free/en/authors/kai-chen/) ×3
- [Wenwei Zhang](https://md.research.elamur.ai/free/en/authors/wenwei-zhang/) ×3
- [Feng Zhao](https://md.research.elamur.ai/free/en/authors/feng-zhao/) ×2
- [Jiangning Liu](https://md.research.elamur.ai/free/en/authors/jiangning-liu/) ×2
- [Qiuchen Wang](https://md.research.elamur.ai/free/en/authors/qiuchen-wang/) ×2
- [Zehui Chen](https://md.research.elamur.ai/free/en/authors/zehui-chen/) ×2
- [Bin Liu](https://md.research.elamur.ai/free/en/authors/bin-liu/)
- [Dahua Lin](https://md.research.elamur.ai/free/en/authors/dahua-lin/)
- [Weiming Zhang](https://md.research.elamur.ai/free/en/authors/weiming-zhang/)

## Venues

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

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/), [Findings of the Association for Computational Linguistics 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/)

## Cited by

Papers of our library cite their works 429 times (of the 149,439 papers whose bibliographies we read); [114 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/kuikun-liu/cited-by/).

Updated 1 November 2026
