Yasaman Razeghi

Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors

2023 · arXiv (Cornell University)

Large language models (LLMs) are being applied as actors for sequential decision making tasks in domains such as robotics and games, utilizing their general world knowledge and planning abilities. However, previous work does little to …

AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts

2020

The remarkable success of pretrained language models has motivated the study of what kinds of knowledge these models learn during pretraining. Reformulating tasks as fillin-the-blanks problems (e.g., cloze tests) is a natural approach for gauging …