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Meng Luo

Meng Luo has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining, Reasoning, Code & programming languages; often with Guangtao Zeng, Hao Fei, Jianbo Dai.

2 papers in our library · 2024–2025

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📄 2 works in our library · 🔗 Cited 24 times in our library · ⭐ Paper Stars ranking: #8636

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

 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. 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…
  2. EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning (2024 · 11 citations)
    Code-generating LLMs are usually tuned for correctness, but the programs they produce often run slower and use more memory than human-written reference solutions.

 Co-authors here

12 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 24 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated

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