Eric Tang
Eric Tang has 2 papers in our library, in 2021–2025, most of them on Language models & pretraining, Reasoning; often with Akul Arora, Collin Burns, Dacheng Li.
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📄 2 works in our library · 🔗 Cited 2,176 times in our library · ⭐ Paper Stars ranking: #1387
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksMathematics · 1 workArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksApplied Mathematics · 1 workComputational Theory and Mathematics · 1 work
🧭 Topics 2Research subjects and languages the work is about.Reasoning · 1 workLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- Measuring Mathematical Problem Solving With the MATH Dataset (2021 · 2,395 citations)
Machine learning systems handle routine calculation well but still struggle with real mathematical problem solving. - LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters! (2025 · 56 citations)
Large reasoning models solve hard problems through long chains of thought with self-checking and backtracking.
Co-authors here
- Akul Arora
- Collin Burns
- Dacheng Li
- Dan Hendrycks
- Dawn Song
- Ion Gabriel Stoica
- Jacob Steinhardt
- Joseph E. Gonzalez
- Matei Zaharia
- Saurav Kadavath
- Shishir G. Patil
- Shiyi Cao
Cited by
Updated
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