---
title: "Lingkai Kong — author profile and papers — Elamur Research"
description: "Lingkai Kong, University of Hong Kong: 2 papers on Elamur Research (2023–2025), h-index 8 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/lingkai-kong/"
---
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# Lingkai Kong

Lingkai Kong 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/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Bo Dai](https://md.research.elamur.ai/free/en/authors/bo-dai/), [Chao Zhang](https://md.research.elamur.ai/free/en/authors/chao-zhang/), [Haiteng Zhao](https://md.research.elamur.ai/free/en/authors/haiteng-zhao/).

2 papers in our library · 2023–2025

[OpenAlex](https://openalex.org/A5102018639) · [ORCID](https://orcid.org/0000-0001-6480-513X) · [Wikidata](https://www.wikidata.org/wiki/Q131162357) · [**h-index 8**](https://openalex.org/authors/A5102018639) · [70 works](https://openalex.org/works?filter=author.id:A5102018639) · [261 citations](https://openalex.org/works?filter=author.id:A5102018639&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/lingkai-kong/#papers) · [🔗 Cited 119 times in our library](https://md.research.elamur.ai/free/en/authors/lingkai-kong/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8052](https://md.research.elamur.ai/free/en/paper-stars/page/81/#star-8052)

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

## Affiliations

[🎓**University of Hong Kong** Pok Fu Lam · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/) · [🏢**China Mobile** Beijing · China 2023 · 37 papers](https://md.research.elamur.ai/free/en/companies/china-mobile/) · [🎓**Georgia Institute of Technology** Atlanta · United States 2018–2024 · 21 papers](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) · [🎓**Harvard University** Cambridge · United States 2023–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/harvard-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 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/) · [Applied Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/applied-mathematics/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/)

🧭 Topics 2 Research subjects and languages the work is about.[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/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[AdaPlanner: Adaptive Planning from Feedback with Language Models](https://md.research.elamur.ai/free/en/papers/sun-2023-adaplanner-adaptive-planning-feedback-language/)** *(2023 · 93 citations)* LLM agents for sequential decision-making usually either act step by step without any plan or follow a fixed plan, adjusting only the current action when the environment responds.
2. **[Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving](https://md.research.elamur.ai/free/en/papers/gu-2025-intern-s1-mo-long/)** *(2025 · 1 citation)* Even strong Large Reasoning Models (LRMs) struggle on IMO-level problems. The exploration these problems need outgrows a single 64K–128K context window, and earlier workarounds were mostly prompt-only pipelines on proprietary models. The authors present Intern-S1-MO, an agent framework that splits problem solving…

## All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data ↗](https://aclanthology.org/2020.emnlp-main.102/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Lingkai Kong et al.*2020 · 102 citations*
2. **[AdaPlanner: Adaptive Planning from Feedback with Language Models](https://md.research.elamur.ai/free/en/papers/sun-2023-adaplanner-adaptive-planning-feedback-language/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Haotian Sun, Yuchen Zhuang, Lingkai Kong, et al.*2023 · 93 citations*
3. [**Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving arXiv:2512.10739**Yuzhe Gu, Songyang Gao, Zijian Wu, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/gu-2025-intern-s1-mo-long/)

## Co-authors here

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

- [Bo Dai](https://md.research.elamur.ai/free/en/authors/bo-dai/)
- [Chao Zhang](https://md.research.elamur.ai/free/en/authors/chao-zhang/)
- [Haiteng Zhao](https://md.research.elamur.ai/free/en/authors/haiteng-zhao/)
- [Haotian Sun](https://md.research.elamur.ai/free/en/authors/haotian-sun/)
- [Junhao Shen](https://md.research.elamur.ai/free/en/authors/junhao-shen/)
- [Songyang Gao](https://md.research.elamur.ai/free/en/authors/songyang-gao/)
- [Wenwei Zhang](https://md.research.elamur.ai/free/en/authors/wenwei-zhang/)
- [Yuchen Zhuang](https://md.research.elamur.ai/free/en/authors/yuchen-zhuang/)
- [Yuzhe Gu](https://md.research.elamur.ai/free/en/authors/yuzhe-gu/)
- [Zhongrui Cai](https://md.research.elamur.ai/free/en/authors/zhongrui-cai/)
- [Zijian Wu](https://md.research.elamur.ai/free/en/authors/zijian-wu/)

## Venues

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

- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/)
- Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

## Cited by

Papers of our library cite their works 119 times (of the 149,439 papers whose bibliographies we read); [26 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/lingkai-kong/cited-by/).

Updated 2 November 2026
