Fei Xia

Improving Relation Extraction through Syntax-induced Pre-training with Dependency Masking

2022 · Findings of the Association for Computational Linguistics: ACL 2022

Relation extraction (RE) is an important natural language processing task that predicts the relation between two given entities, where a good understanding of the contextual information is essential to achieve an outstanding model performance. Among …

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

2022 · arXiv (Cornell University)

Large language models can encode a wealth of semantic knowledge about the world. Such knowledge could be extremely useful to robots aiming to act upon high-level, temporally extended instructions expressed in natural language. However, a …

Inner Monologue: Embodied Reasoning through Planning with Language Models

2022 · arXiv (Cornell University)

Recent works have shown how the reasoning capabilities of Large Language Models (LLMs) can be applied to domains beyond natural language processing, such as planning and interaction for robots. These embodied problems require an agent …