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Mong-Li Lee

Mong-Li Lee has 2 papers in our library, in 2024–2025, most of them on Reasoning; often with Hao Fei, Jundong Xu, Liangming Pan.

2 papers in our library · 2024–2025

OpenAlex · ORCID · Wikidata · h-index 54 · 412 works · 12,968 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 93 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6254

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Reasoning · 2 works

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Faithful Logical Reasoning via Symbolic Chain-of-Thought (2024 · 129 citations)
    Plain Chain-of-Thought (CoT) prompting often leads large language models into invalid deductions on logic problems, because free-form natural-language rationales lack the rigor of formal inference.
  2. Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve Framework (2025 · 16 citations)
    Large language models still struggle with logical reasoning. General search-based methods such as ToT and GoT ignore the formal structure of logic problems: they split tasks along surface wording, depend on unreliable LLM evaluators to choose paths, and make logical slips when solving sub-steps. The authors present…

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. Multi-Task Learning for Diabetic Retinopathy Grading and Lesion Segmentation ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetAlex Foo et al.2020 · 61 citations

 Co-authors here

8 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 93 times (of the 149,439 papers whose bibliographies we read); 20 citing papers with a page here →.

Updated

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