Yao-Ting Wang
Yao-Ting Wang has 2 papers in our library, in 2025–2026, most of them on Reasoning, Language models & pretraining; often with Aastha Jhunjhunwala, Amir H. Rezaeian, Jyotika Singh.
OpenAlex · ORCID · Wikidata · h-index 17 · 74 works · 1,047 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 23 times in our library · ⭐ Paper Stars ranking: #11449
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksMaterials Science · 1 workComputer Vision and Pattern Recognition · 1 workMaterials Chemistry · 1 work
🧭 Topics 2Research subjects and languages the work is about.Reasoning · 2 worksLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- OmniScience: A Domain-Specialized LLM for Scientific Reasoning and Discovery (2025 · 13 citations)
General-purpose LLMs often lack the specialized vocabulary and multi-step reasoning that scientific problems require. Training a science model from scratch is very costly. The authors, from SES AI and NVIDIA, instead adapt LLaMA 3.1 70B in three stages: - Barriers to Discrete Reasoning with Transformers: A Survey Across Depth, Exactness, and Bandwidth (2026 · 3 citations)
The survey asks why transformer models, despite strong results in language and vision, remain unreliable at exact symbolic work such as arithmetic, Boolean logic, parsing, and multi-step algorithmic composition.
Co-authors here
- Aastha Jhunjhunwala
- Amir H. Rezaeian
- Jyotika Singh
- Kai Liu
- Michelle Yuan
- Miguel Ballesteros
- Sandip Ghoshal
- Weiyi Sun
- Yassine Benajiba
- Zihan Wang
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL)
- Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026
Cited by
Updated
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