He He

with Le · 2024

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

Papers from He He's perspective

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

1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
2. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
3. Improving Language Understanding by Generative Pre-Training
4. SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing
5. Hindsight Experience Replay
6. Analysing Mathematical Reasoning Abilities of Neural Models
7. Solving Quantitative Reasoning Problems with Language Models
8. Emergent Abilities of Large Language Models
9. DeepMath - Deep Sequence Models for Premise Selection
10. Learning a SAT Solver from Single-Bit Supervision

Their papers

• Solving olympiad geometry without human demonstrations (2024) — 808 citations