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Man Luo

Man Luo has 3 papers in our library, in 2023–2024, most of them on Language models & pretraining, Reasoning, Evaluation & benchmarks; often with Chitta Baral, Mihir Parmar, Neeraj Varshney.

3 papers in our library · 2023–2024

OpenAlex · ORCID · h-index 15 · 131 works · 1,300 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 136 times in our library · ⭐ Paper Stars ranking: #5926

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

🎓Tianjin UniversityTianjin · China2025–2026 · 6 paperscurrent🎓University of Science and Technology of ChinaHefei · China2023–2026 · 3 paperscurrent🎓Arizona State UniversityTempe · United States2021–2024 · 16 papers🎓South Central Minzu UniversityWuhan · China2000–2013 · 9 papers🏢IntelSanta Clara · United States2024–2025 · 5 papers🎓Sun Yat-sen UniversityGuangzhou · China2022–2025 · 3 papers🎓Zhejiang UniversityHangzhou · China2022–2024 · 3 papers🎓Yunnan UniversityKunming · China2022–2023 · 3 papers🔬Research Institute of Petroleum Exploration and DevelopmentBeijing · China2024–2025 · 2 papers🏥Sun Yat-sen Memorial HospitalGuangzhou · China2022–2025 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 42 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).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksInformation Systems · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 3 worksReasoning · 2 worksEvaluation & benchmarks · 1 work

 Works by year

2020s

20242 papers20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models (2024 · 93 citations)
    Most logical reasoning benchmarks for LLMs either blend logic with other skills (LogiQA, ReClor) or stick to one logic type and a few rules such as modus ponens (FOLIO, ProntoQA).
  2. In-context Learning with Retrieved Demonstrations for Language Models: A Survey (2024 · 54 citations)
    Large language models can solve new tasks from a few input–output examples placed in the prompt. This is called few-shot in-context learning (ICL), and its accuracy depends heavily on which examples are chosen. Early approaches used one fixed demonstration set per task, written by hand, sampled at random or picked by…
  3. Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models (2023 · 27 citations)
    The paper asks how well language models handle logical reasoning expressed in natural language. Formal knowledge-representation systems needed heavy expert effort and did not scale. The authors first survey the field. They cover three reasoning types (deductive, inductive, abductive), the usual task formats, how…

 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 136 times (of the 149,439 papers whose bibliographies we read); 21 citing papers with a page here →.

Updated

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