LangSuit⋅E: Controlling, Planning, and Interacting with Large Language Models in Embodied Text Environments
Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels
Semi-automatic Data Enhancement for Document-Level Relation Extraction with Distant Supervision from Large Language Models
Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random Field
VSTAR: A Video-grounded Dialogue Dataset for Situated Semantic Understanding with Scene and Topic Transitions
