Engineering Effective In-Context Inputs for GPT-3 in OpenQA
Designed and evaluated novel in-context learning strategies to improve GPT-3’s performance on OpenQA without access to gold passages. Explored lexical, syntactic, and semantic similarity-based example selection methods, and introduced reverse ordering to enhance contextual relevance. The semantic similarity + reverse order strategy achieved the best performance (F1=0.57), yielding a 5% improvement over the random baseline. Findings highlight the impact of example amount, quality, similarity, and ordering on large language model effectiveness.
Every project has a beautiful feature showcase page. It’s easy to include images in a flexible 3-column grid format. Make your photos 1/3, 2/3, or full width.
To give your project a background in the portfolio page, just add the img tag to the front matter like so:
---
layout: page
title: project
description: a project with a background image
img: /assets/img/12.jpg
---




You can also put regular text between your rows of images, even citations (missing reference). Say you wanted to write a bit about your project before you posted the rest of the images. You describe how you toiled, sweated, bled for your project, and then… you reveal its glory in the next row of images.


The code is simple. Just wrap your images with <div class="col-sm">
and place them inside <div class="row">
(read more about the Bootstrap Grid system). To make images responsive, add img-fluid
class to each; for rounded corners and shadows use rounded
and z-depth-1
classes. Here’s the code for the last row of images above:
<div class="row justify-content-sm-center">
<div class="col-sm-8 mt-3 mt-md-0">
{% include figure.liquid path="assets/img/6.jpg" title="example image" class="img-fluid rounded z-depth-1" %}
</div>
<div class="col-sm-4 mt-3 mt-md-0">
{% include figure.liquid path="assets/img/11.jpg" title="example image" class="img-fluid rounded z-depth-1" %}
</div>
</div>