• 🗣️ /beh'nɑ:m/ as in comfortably beh-numb

Ph.D. Candidate

Tepper School of Business

Carnegie Mellon University

Pittsburgh, PA, USA

<aside> 🎉 Hi! I’m interested in Generative AI (GenAI) with a special focus on Large Language Models (LLMs). I’ve built apps and websites based on LLMs, and I enjoy studying their behavior from a human psychology perspective (you can call it the “psychology of AI”). I also study eXplainable AI (XAI) and its economic implications for consumers and firms. Recently, I developed an XAI method to help interpret LLM outputs (see papers ↓). The methods I use include game theory, machine learning, and natural language modeling.

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Research

<aside> 👨🏻‍🍳 I’m cooking! Stay tuned for some secret sauce 🥫 to be revealed soon!

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🥘 Working Papers

Human Bounded Rationality in Structural Econometric Models

🍜 Submitted

• Wait, It's All Token Noise? Always Has Been: Interpreting LLM Behavior Using Shapley Value
• Regulating eXplainable AI (XAI) May Harm Consumers (Minor Revision at Marketing Science)

😋 Published

• Behnam Mohammadi, Masoud Talebian, “Analyzing the Role of Apple-Samsung Lawsuits on Pricing and Marketing Strategies of the Two Companies”, New Marketing Research Journal 9 (4), 171-205
• (Book) Behnam Mohammadi et al., “Information Technology for Better Life”, Avaye Ghalam Publications, Tehran, Iran, 2015 (ISBN: 978-600-7542-16-3)

Programming and LLM Experience

In my free time, I read about programming languages, Vim, and AI. I get passionate about our relation to technology (esp. LLMs) and I also blog about my workflow customizations.

llama.cpp

I’m one of the contributors to https://github.com/ggerganov/llama.cpp, the most popular open-source LLM engine in the world (+48k ⭐ on Github). It’s the software that powers several LLM apps such as https://github.com/oobabooga/text-generation-webui, https://github.com/jmorganca/ollama, and https://github.com/Mozilla-Ocho/llamafile.

callama

During my research, I needed a way to interact with llama.cpp through Python, so I made one! Check it out here: