LLM+XAI Reading Group

In this reading group, each person presents a paper on a topic in LLMs or XAI that he or she wanted to learn any way (since teaching is one of the best ways to learn the topic). Preparing slides is not mandatory; one can just share the paper on a screen. The meetings will take place on Zoom.

I limited the scope of the topic to LLMs and XAI, because

1. They are (still) important (and 🔥)
2. Limiting the scope allows us to focus and perhaps even collaborate on a paper.
3. I like these topics

Potential topics would be:

LLM-related: LLM reasoning, LLMs and causality, LLM evaluation, LLM training, RLHF, RLAIF, applications of LLMs in robotics and other areas, explaining LLMs, LLMs as agents, new LLM architectures (e.g., state-space models), vision-language models (VLMs) …

XAI-related: Novel XAI methods (e.g., mechanistic interpretability), XAI evaluation, applications of XAI, explainable RL, LLMs for XAI, human-centered XAI, …

Upcoming Presentations

Time: Every Wednesday 2pm,

2024

• 26.06: Xintong

Past Presentations

2024

• 19.06: LLMs with Chain-of-Thought Are Non-Causal Reasoners presented by Wenhao
• 12.06: Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels presented by Xufeng
• 05.06: A Survey on Evaluation of Large Language Models presented by Hassan
• 29.05: Inference-Time Intervention: Eliciting Truthful Answers from a Language Model presented by Sergio
• 22.05: Finding Neurons in a Haystack: Case Studies with Sparse Probing presented by Imran
• 15.05: Towards Uncovering How Large Language Model Works: An Explainability Perspective presented by Jae