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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.

2 papers in our library · 2021–2025

No OpenAlex profile matched yet.

📄 2 works in our library · 🔗 Cited 2,176 times in our library · ⭐ Paper Stars ranking: #1387

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

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. 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

12 of 15 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 2,176 times (of the 149,439 papers whose bibliographies we read); 844 citing papers with a page here →.

Updated

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