Kelvin Xu

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 Kelvin Xu trusts overall

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

1. Andrew Jones
2. Levente Kocsis

Who trusts Kelvin Xu overall

1. Adam Suma

Papers from Kelvin Xu's perspective

Ordered by how strongly the researchers Kelvin Xu 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. Training Verifiers to Solve Math Word Problems
5. Bandit Based Monte-Carlo Planning
6. Tree of Thoughts: Deliberate Problem Solving with Large Language Models
7. Thinking fast and slow.
8. Solving math word problems with process- and outcome-based feedback
9. Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
10. ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

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