Xinyun Chen

MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations

Larger language models do in-context learning differently

On Memorization of Large Language Models in Logical Reasoning

Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Large Language Models Cannot Self-Correct Reasoning Yet

Large Language Models as Optimizers

Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models

BioCoder: A Benchmark for Bioinformatics Code Generation with Contextual Pragmatic Knowledge

Teaching Large Language Models to Self-Debug

Large Language Models as Analogical Reasoners

SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures

Large Language Models can Learn Rules

Large Language Models as Tool Makers

Larger language models do in-context learning differently