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Lingkai Kong

Lingkai Kong has 2 papers in our library, in 2023–2025, most of them on Language models & pretraining, Reasoning; often with Bo Dai, Chao Zhang, Haiteng Zhao.

2 papers in our library · 2023–2025

OpenAlex · ORCID · Wikidata · h-index 8 · 70 works · 261 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 119 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #8052

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of Hong KongPok Fu Lam · China2026 · 1 papercurrent🏢China MobileBeijing · China2023 · 37 papers🎓Georgia Institute of TechnologyAtlanta · United States2018–2024 · 21 papers🎓Harvard UniversityCambridge · United States2023–2025 · 3 papers

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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksApplied Mathematics · 1 workMathematics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. AdaPlanner: Adaptive Planning from Feedback with Language Models (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 (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 ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetLingkai Kong et al.2020 · 102 citations
  2. AdaPlanner: Adaptive Planning from Feedback with Language ModelsConference on Neural Information Processing Systems (NeurIPS)Haotian Sun, Yuchen Zhuang, Lingkai Kong, et al.2023 · 93 citations
  3. Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem SolvingarXiv:2512.10739Yuzhe Gu, Songyang Gao, Zijian Wu, et al.2025 · 1 citation

 Co-authors here

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

Venues

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

 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 →.

Updated

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