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)

If you have any questions, please reach out to: neurips2024-adaptive-foundation@googlegroups.com