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Yunxuan Li

Yunxuan Li has 2 papers in our library, in 2022–2024, most of them on Language models & pretraining, Reasoning; often with Abhinav Rastogi, Albert Webson, Barret Zoph.

2 papers in our library · 2022–2024

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📄 2 works in our library · 🔗 2,332 citations in our library · ⭐ Paper Star rank #1045

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

 Topics

 Language models & pretraining (2) Reasoning (1)

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Scaling Instruction-Finetuned Language Models (2022 · 2,176 citations)
    The authors from Google seek a way to teach pretrained language models to better handle tasks they have not seen before.
  2. Improve Mathematical Reasoning in Language Models by Automated Process Supervision (2024 · 163 citations)
    Process Reward Models (PRMs) score each intermediate step of a solution. On multi-step math they help LLMs more than verifiers that judge only the final answer. The catch is the step-level labels PRMs need. Until now these came from paid human annotators or from brute-force Monte Carlo rollouts launched at every…

 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 2,332 times (of the 140,884 papers whose bibliographies we read); 201 citing papers with a page here →.

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