Yuyang Wu
Yuyang Wu has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning, Knowledge graphs & ontologies; often with Cam-Tu Nguyen, Stefanie Jegelka, Xiaoliang Wang.
OpenAlex · h-index 0 · 2 works · 0 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 68 times in our library · ⭐ Paper Stars ranking: #8479
Affiliations
Fields, topics and concepts
📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArts and Humanities · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 worksComputational Theory and Mathematics · 1 workComputer Networks and Communications · 1 workMaterials Chemistry · 1 workMaterials Science · 1 work
🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 2 worksKnowledge graphs & ontologies · 1 work
Works by year
2020s
Papers
- When More is Less: Understanding Chain-of-Thought Length in LLMs (2025 · 73 citations)
The paper asks whether longer Chain-of-Thought (CoT) reasoning always helps LLMs. The authors argue that it does not. They combine three lines of evidence: measurements on public models, controlled experiments, and a formal model. Public models include the Qwen2.5 Instruct series on MATH Level 5, plus RL runs. The… - Bidirectional Semantic Enhancement for Schema Routing Across Large-Scale Databases (2026)
The paper tackles schema routing: picking the few relevant tables from repositories that may hold thousands of them before an LLM writes SQL. - KGRxn-LLM: Knowledge Graph Enhanced Large Language Models for Molecular Reaction Reasoning (2026)
General-purpose LLMs often reason poorly about chemical reactions. They mislabel functional groups, mix up reaction classes and propose products with atoms that have no source in the reactants. Existing benchmarks mostly test product generation or fact recall, not mechanistic understanding. The authors address both…
Co-authors here
Venues
- BioNLP: BioNLP 2026
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
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