18 citations · 73 across the 11 of their papers we have counts for
Showing 2023 · cs.CLShow all
2 papers · 2 filters
cs.CL2023★ 6 cited
Plan, Eliminate, and Track -- Language Models are Good Teachers for Embodied Agents
Yue Wu, So Yeon Min, Yonatan Bisk +5
Pre-trained large language models (LLMs) capture procedural knowledge about the world. Recent work has leveraged LLM's ability to generate abstract plans to simplify challenging co…
cs.CL2023★ 17 cited
The Internal State of an LLM Knows When It's Lying
Amos Azaria, Tom Mitchell
While Large Language Models (LLMs) have shown exceptional performance in various tasks, one of their most prominent drawbacks is generating inaccurate or false information with a c…