Inspiration Exchange #35

Engagement session

We’ll be holding our next Inspiration Exchange session on March 11 at 16:00 GMT.

Join us to explore Innovative Use Cases of LLMs Part 2! In our upcoming session, we’re eager to share recent advances in LLMs, discuss innovative use cases of LLMs in medicine, and consider new, unexplored directions that could provide breakthroughs. Specifically, we will be discussing two works:

Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL (ICLR 2024)
Authors: Hao Sun, Alihan Hüyük, Mihaela van der Schaar(Paper Link)
This work introduces Prompt-OIRL, which harnesses offline inverse reinforcement learning to draw insights from offline prompting demonstration data to perform zero-shot prompt optimization.

Retrieval-Augmented Thought Process as Sequential Decision Making
Authors: Thomas Pouplin, Hao Sun, Samuel Holt, Mihaela van der Schaar (Paper Link)
This work introduces Retrieval-Augmented Thought Process (RATP) to improve retrieval-augmented generation. Given access to external knowledge, RATP formulates the thought generation of LLMs as a multiple-step decision process, using Monte-Carlo Tree Search to optimize this thought process.

We are excited to be presenting 10 papers at ICLR 2024, some of which will also be discussed in upcoming IE sessions. For now, to see the complete list, please visit https://www.vanderschaar-lab.com/van-der-schaar-lab-at-iclr-2024-10-papers-accepted/.

Additionally, we are excited to be joined by:
Dr. Vivek Natarajan (Research Lead, Google Health AI)
Dr. Chris Anagnostopoulos (Director of Life Sciences Innovation, QuantumBlack, AI by McKinsey)