GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding

no code implementations • 9 Feb 2024 • Stefan Dernbach, Khushbu Agarwal, Alejandro Zuniga, Michael Henry, Sutanay Choudhury

For example, can we query a LLM to identify the optimal contact in a professional network for a specific goal, based on relationships and attributes in a private database?

Hallucination Knowledge Graphs +2

Filtered Manifold Alignment

no code implementations • 11 Nov 2020 • Stefan Dernbach, Don Towsley

Domain adaptation is an essential task in transfer learning to leverage data in one domain to bolster learning in another domain.

Domain Adaptation Transfer Learning

Deep Reinforcement Learning With Macro-Actions

no code implementations • 15 Jun 2016 • Ishan P. Durugkar, Clemens Rosenbaum, Stefan Dernbach, Sridhar Mahadevan

Deep reinforcement learning has been shown to be a powerful framework for learning policies from complex high-dimensional sensory inputs to actions in complex tasks, such as the Atari domain.

Atari Games reinforcement-learning +1