Proto-lm: A Prototypical Network-Based Framework for Built-in Interpretability in Large Language Models

1 code implementation • 3 Nov 2023 • Sean Xie, Soroush Vosoughi, Saeed Hassanpour

Large Language Models (LLMs) have significantly advanced the field of Natural Language Processing (NLP), but their lack of interpretability has been a major concern.

Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning

no code implementations • 30 Mar 2022 • Sean Xie, Soroush Vosoughi, Saeed Hassanpour

Artificial intelligence, particularly through recent advancements in deep learning, has achieved exceptional performances in many tasks in fields such as natural language processing and computer vision.

Decision Making reinforcement-learning +1