Comparing Few to Rank Many: Active Human Preference Learning using Randomized Frank-Wolfe
KK Thekumparampil, G Hiranandani… - arxiv preprint arxiv …, 2024 - arxiv.org
We study learning of human preferences from a limited comparison feedback. This task is
ubiquitous in machine learning. Its applications such as reinforcement learning from human …
ubiquitous in machine learning. Its applications such as reinforcement learning from human …
Beyond Retrieval: Generating Narratives in Conversational Recommender Systems
K Sayana, R Vasudeva, Y Vasilevski, K Su… - arxiv preprint arxiv …, 2024 - arxiv.org
The recent advances in Large Language Model's generation and reasoning capabilities
present an opportunity to develop truly conversational recommendation systems. However …
present an opportunity to develop truly conversational recommendation systems. However …