Welcome to the AI/ML Reading Group Webpage at RPI!
Our goal is to read and discuss diverse research papers in the interdisciplinary areas of AI/ML/NLP, IS, and HCI. Whether you're a novice or a seasoned researcher, all RPI members are welcome to join and contribute to our discussions. Interested? Join us to engage in stimulating discussions. We meet bi-weekly on Wednesdays! Contact manikl@rpi.edu for more questions!
If you are not at RPI but would like to recommend any research papers for us to read, please email manikl@rpi.edu
Our group during AY24-25
Spring 2025
Paper Title | Paper Link |
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Jailbroken: How Does LLM Safety Training Fail? | Link |
When Teams Embrace AI: Human Collaboration Strategies in Generative Prompting in a Creative Design Task | Link |
Generative AI in Medical Practice: In-Depth Exploration of Privacy and Security Challenges | Link |
Peer Review in the Age of Generative AI | Link |
Can LLMs Learn from Previous Mistakes? Investigating LLMs’ Errors to Boost for Reasoning | Link |
Retrieval-Augmented Generation for Natural Language Processing: A Survey | Link |
Fall 2024
Paper Title | Paper Link |
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Constructing Dreams Using Generative AI | Link |
Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks | Link |
Generative Echo Chamber? Effect of LLM-Powered Search Systems on Diverse Information Seeking | Link |
The Metacognitive Demands and Opportunities of Generative AI | Link |
Every Answer Matters: Evaluating Commonsense with Probabilistic Measures | Link |
How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs | Link |
How Language Model Hallucinations Can Snowball | Link |
Faith and Fate: Limits of Transformers on Compositionality | Link |
QUANTIFYING LANGUAGE MODELS’ SENSITIVITY TO SPURIOUS FEATURES IN PROMPT DESIGN or: How I learned to start worrying about prompt formatting | Link |
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models | Link |
GPT-4 Can't Reason | Link |
Jailbreaking Large Language Models with Symbolic Mathematics | Link |