In the era of AI-driven transformations, foundation models (FMs) have become pivotal in various applications, from natural language processing to computer vision. These models, with their immense capabilities, reshape the future of scientific research and the broader human society, but also introduce challenges in their in-the-wild deployments. The Workshop on FMs in the wild delves into the urgent need for these models to be useful when deployed in our societies. The significance of this topic cannot be overstated, as the real-world implications of these models impact everything from daily information access to critical decision-making in fields like medicine and finance. Stakeholders, from developers to end-users, care deeply about this because the successful integration of FMs into in-the-wild frameworks necessitates a careful consideration of many properties, including adaptivity, reliability, efficiency, and reasoning ability.

Website: https://fm-wild-community.github.io/

10:00am - 10:30am
Research domains
- Agents
- Agents for coding
- Bandits
- Computer vision
- Continual learning
- Generative AI
- Large language models (LLMs)
- Machine learning
- Multimodal retrieval 

12:30pm - 1:00pm
Research domains
- Agents
- AutoML
- Causal inference
- Generative AI
- Graph neural networks (GNNs)
- GraphML
- LLMs
- Natural language processing (NLP)
- Reinforcement Learning
- Retrieval 

3:00pm - 3:30pm
Research domains
- Agents
- Efficient ML
- Generative AI
- GNNs
- Graph ML
- LLMs
- MLSys
- NLP
- Reinforcement learning
- Retrieval

10:00am - 10:30am
Research domains
- Agents
- Generative AI
- GraphML
- Large language models (LLMs)
- Losses
- Machine learning
- Multimodal
- Natural language processing (NLP)
- Time series forecasting

12:30pm - 1:00pm
Research domains
- Agents for coding
- Bandits
- Continual learning
- Generative AI
- LLMs
- MLSys
- Multimodal
- Reinforcement learning
- Retrieval


3:00pm - 3:30pm
Research domains
- Agents
- AI for science
- Causal inference
- Computer vision
- Generative AI
- Graph neural networks
- Graph ML
- LLMs
- Machine learning
- Reinforcement learning
- Retrieval

10:00am - 10:30am
Research domains
- Agents
- Auto ML
- Generative AI
- Graph ML
- Large language models (LLMs)
- Natural language processing (NLP)
- Reinforcement learning
- Retrieval

12:30pm - 1:00pm
Research domains
- Agents
- Efficient ML
- Generative AI
- Graph neural networks
- Graph ML
- LLMs
- Machine learning
- NLP
- Time series forecasting

3:00pm - 3:30pm
Research domains
- Agents
- AI for science
- Generative AI
- LLMs
- Losses
- Machine learning
- Multimodal
- NLP
- Reinforcement learning