🧑‍🔬 Kuicai Dong

🏛️ Affiliations

🎓Nanyang Technological UniversitySingapore · Singapore2012–2026 · 21 papersEducation 2012–2016 · Bachelar 1st class honors, Electrical and Electronic EngineeringEducation 2019–2023 · PhD, Computer Science and Engineeringcurrent🏢Huawei TechnologiesShenzhen · China2024–2026 · 11 paperscurrent🏛️Agency for Science, Technology and ResearchSingapore · Singapore2022–2023 · 4 papers🔬Institute for Infocomm ResearchSingapore · Singapore2022–2023 · 4 papers

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. CoIR: A Comprehensive Benchmark for Code Information Retrieval Models (2025 · 29 citations)
   Most IR systems and benchmarks target natural-language search. Existing code retrieval benchmarks such as CodeSearchNet, CosQA and XcodeEval cover only a few task types and narrow domains, and they use inconsistent metrics. Many models also appear to be tuned to these leaderboards. The authors present CoIR, a…
2. Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger (2025 · 16 citations)
   LLMs equipped with tools often call them even when they could answer from internal knowledge. This adds latency and exposes the model to failures from external APIs. The authors, from Huawei Noah's Ark Lab, propose MeCo (Meta-Cognition-oriented trigger), which decides whether a tool or retrieval call is actually…
3. From Speculation Detection to Trustworthy Relational Tuples in Information Extraction (2023 · 1 citation)
   The paper argues that relations extracted by Open Information Extraction (OIE) should not all be treated as facts, because many are hedged or only intended.

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. CoIR: A Comprehensive Benchmark for Code Information Retrieval ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangyang Li, Kuicai Dong, Yi Quan Lee, et al.2025 · 29 citations
2. Adaptive Tool Use in Large Language Models with Meta-Cognition TriggerAnnual Meeting of the Association for Computational Linguistics (ACL)Wenjun Li, Dexun Li, Kuicai Dong, et al.2025 · 16 citations
3. From Speculation Detection to Trustworthy Relational Tuples in Information ExtractionFindings of the Association for Computational LinguisticsKuicai Dong, Aixin Sun, Jung-jae Kim, et al.2023 · 1 citation
4. Deep-Reporter: Deep Research for Grounded Multimodal Long-Form Generation ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetFangda Ye et al.2026

🤝 Co-authors here

12 of 13 co-authors with a page, the most papers together first.

• Hao Zhang ×2
• Ruiming Tang ×2
• Yasheng Wang ×2
• Aixin Sun
• Cong Zhang
• Dexun Li
• Wei Xia
• Weiwen Liu
• Wenjun Li
• Xiangyang Li
• Xiaoli Li
• Xinyi Dai

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) ×3: ACL 2025 ×2
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2023

🔗 Cited by

Papers of our library cite their works 32 times (of the 149,439 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated 30 October 2026

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