Augusta University · Graduate student organization
Reading machine learning papers, carefully, together.
We meet every other week to work through one paper: what it claims, how the evidence holds up, and what we can build from it. Foundations through current LLM work.
Next meeting
Oct 6, 2026
Hybrid (Teams + RV2809, Riverfront campus)
Conformal Prediction with Large Language Models for Multi-Choice Question Answering
Format
One leader, open discussion
A discussion leader presents the core idea and key figures, then the group works through strengths, weaknesses, and open questions. About an hour, hybrid.
Get involved
Propose or present
Suggest a paper, volunteer to lead a session, or just come and listen. Any AU graduate student is welcome. Contact the officers.
Recently discussed
All papers-
Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation.
Danny Halawi, Alexander Wei, Eric Wallace, Tony T. Wang, Nika Haghtalab, Jacob Steinhardt.
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A Multimodal Automated Interpretability Agent
Tamar Rott Shaham, Sarah Schwettmann, Franklin Wang, Achyuta Rajaram, Evan Hernandez, Jacob Andreas, Antonio Torralba
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ChartGPT: Leveraging LLMs to Generate Charts From Abstract Natural Language
Yuan Tian, Weiwei Cui, Dazhen Deng, Xinjing Yi, Yurun Yang, Haidong Zhang