KL Group Project Report

Introduction This is my individual report on the group project that I did with Louisa and Dean. The original presentation can be found here.   Our project attempted to evaluate whether LLMs could adequately recognize and simulate cognitive biases. We specifically tested the models on hostile attribution bias (HAB), but we hoped that our findings […]

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Sophie’s Final Project Report

COGS 20100 Final Project Report (Fall 2023) Section 1: An Overview of Human Cognitive Biases Cognitive biases are systematic patterns of deviation from norm or rationality in judgment, where inferences about other people and situations may be illogical (Tversky & Kahneman, 1974). Some of the most prominent cognitive biases include (1) confirmation bias, where individuals […]

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Yushu’s Final Project Report

For a version with graphs, you can use this link: https://publuu.com/flip-book/330094/760112 Project Introduction: Our group’s final project focused on providing a multimodal evaluation of Large Language Models’ (LLM) cognitive capabilities, specifically their ability to understand and analyze graphs. Given time constraints, we primarily evaluated GPT-4, as it is currently one of the most popular LLM […]

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Project Report: Incorporating Social Consciousness of English Language Variants into Education with ChatGPT

Standard English variants exist as a way for all English speakers to communicate in a mutually intelligible fashion, and these standard language forms are generally associated with professionalism, official establishments, and authority. In fact, most media, communication, or services intended for the general public would use standardized English variants, which is why large language models […]

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Yushu Qiu’s Week 9 Post

I’d like to begin by sharing some thoughts on Petter’s article concerning ChatGPT’s role in annotating political tweets, drawing parallels with my own experiences. This summer, one of my internship projects involved categorizing various country reports using a predefined set of categories, which numbered over twenty. My initial approach was to employ ChatGPT for zero-shot […]

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Second Debate

Last week’s debate concerned the prompt “AI Will Bring More Creativity and Innovation than Risks and Dangers”, with Colby, Fady, and Risabh affirming the claim and Louisa, Sophie, Seth and me opposing it. From the beginning, I was surprised by how opinions varied on specific topics related to AI, even within the teams. Both sides […]

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