Wenpeng Yin

Artificial Intelligence · with Ahn · 2024

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wenpeng Yin trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Ming-Wei Chang (in Artificial Intelligence)

Papers from Wenpeng Yin's perspective

Ordered by how strongly the researchers Wenpeng Yin trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Language Models are Unsupervised Multitask Learners
  2. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  3. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  4. Training Verifiers to Solve Math Word Problems
  5. Measuring Mathematical Problem Solving With the MATH Dataset
  6. Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems
  7. Solving Quantitative Reasoning Problems with Language Models
  8. MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms
  9. Evaluating Large Language Models Trained on Code (arXiv.org)
  10. GPT-Neo: Large Scale Autoregressive Language Modeling with Mesh-Tensorflow

Their papers