Jaehoon Lee

Artificial Intelligence · with Kumar · 2024–2025

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it

Whom Jaehoon Lee trusts overall

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

1. Andrew Jones
2. Levente Kocsis

Who trusts Jaehoon Lee overall

1. Adam Suma

Papers from Jaehoon Lee's perspective

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

1. Reinforcement Learning: An Introduction
2. Measuring Mathematical Problem Solving With the MATH Dataset
3. Chain of Thought Prompting Elicits Reasoning in Large Language Models (Neural Information Processing Systems)
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Training Verifiers to Solve Math Word Problems
7. Attention is All you Need (Neural Information Processing Systems)
8. Bandit Based Monte-Carlo Planning
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Their papers

• Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters (2024) — 1,973 citations
• Scaling LLM Test-Time Compute Optimally Can be More Effective than Scaling Parameters for Reasoning (2025) — 403 citations