Search Results for author:
Found 2 papers, 1 papers with code
Prompt Optimization via Adversarial In-Context Learning
We propose a new method, Adversarial In-Context Learning (adv-ICL), to optimize prompt for in-context learning (ICL) by employing one LLM as a generator, another as a discriminator, and a third as a prompt modifier.
Automatic Model Selection with Large Language Models for Reasoning
Chain-of-Thought (CoT) and Program-Aided Language Models (PAL) represent two distinct reasoning methods, each with its own strengths.
Ranked #1 on
Math Word Problem Solving
on SVAMP
Cannot find the paper you are looking for? You can
Submit a new open access paper.
