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Menglin Yang

Menglin Yang has 3 papers in our library, in 2025–2026, most of them on Reasoning, Language models & pretraining; often with Chengwei Qin, Jiahong Liu, Jindong Li.

3 papers in our library · 2025–2026

OpenAlex · h-index 0 · 8 works · 0 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 9 times in our library · ⭐ Paper Stars ranking: #9675

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

🎓The Hong Kong University of Science and Technology (Guangzhou)Guangzhou · China2025–2026 · 36 paperscurrent🎓Hong Kong University of Science and TechnologyHong Kong · China2026 · 4 paperscurrent🎓South China University of TechnologyGuangzhou · China2026 · 3 paperscurrent🎓University of Hong KongPok Fu Lam · China2026 · 3 paperscurrent🎓Chinese University of Hong KongHong Kong · China2020–2023 · 16 papers🎓Yale UniversityNew Haven · United States2024–2025 · 6 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 2 works

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

 Works by year

2020s

20262 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Implicit Reasoning in Large Language Models: A Comprehensive Survey (2025 · 10 citations)
    Chain-of-Thought prompting makes LLMs write out every intermediate step, which inflates output length, latency and cost.
  2. HeLa-Mem: Hebbian Learning and Associative Memory for LLM Agents (2026 · 2 citations)
    LLM agents struggle to stay coherent across long, multi-session dialogues. Most memory systems store past turns as embeddings and fetch them by semantic similarity alone, so they miss links between memories that are related through shared history rather than wording. HeLa-Mem addresses this with a memory design…
  3. Self-Reflective Generation at Test Time (2026)
    Autoregressive LLMs cannot revise a token once it is emitted, so one early mistake in a long chain-of-thought can derail the whole solution.

 Co-authors here

10 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 9 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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