NeurIPS 2024 Workshop on Adaptive Foundation Models

Workshop Schedule

Exhibit Hall A, December 14, 2024

Invited/Keynote Talk, Contributed Talk, Poster Session, Other.

Time (PST)	Speaker/Moderator	Title
8:30am	Ruslan Salakhutdinov	Keynote
9:00am	Sander Dieleman	Invited Talk: Multimodal Iterative Refinement
9:30am	Participants	Coffee Break
9:45am	Kate Saenko	Invited Talk: Is pre-training the key to successful domain generalization?
10:15am	Participants	Contributed Talks: Workshop Oral Papers 1
	Paischer et al.	One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation
	Jang et al.	Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging
	Hsia et al.	RAGGED: Towards Informed Design of Retrieval Augmented Generation Systems
10:45am	Participants	Morning Poster Session (Paper IDs 1-75)
11:45am	Participants	Lunch Break
1:00pm	Matthias Bethge	Keynote: Continual Foundation Model Learning
1:30pm	Minjoon Seo	Invited Talk: On the Knowledge Adaptability of Language Models
2:00pm	Participants	Contributed Talks: Workshop Oral Papers 2
	Wu et al.	Self-Play Preference Optimization for Language Model Alignment
	Wei et al.	Fast and Accurate Language Model Decoding via Parallel Token Processing
	Chen et al.	Fine-tuning LLM Agents with Retrospective In-Context Online Learning
	Dai et al.	Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle
	Chen et al.	Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass
2:50pm	Participants	Coffee Break
3:00pm	Bing Liu	Invited Talk: Continual Learning with Large Language Models
3:30pm	Tianqi Chen	Invited Talk: Enable Large Language Model Deployment Across Cloud and Edge with ML Compilation
4:00pm	Panel	Panel Discussion w/ Kate Saenko, Ruslan Salakhutdinov, Matthias Bethge, Sander Dieleman, Minjoon Seo, Bing Liu
4:30pm	Participants	Afternoon Poster Session (Paper IDs 76-157)