Search Results for author:
Found 5 papers, 1 papers with code
Task-Oriented Clustering for Dialogues
A reliable clustering algorithm for task-oriented dialogues can help developer analysis and define dialogue tasks efficiently.
Seal: Advancing Speech Language Models to be Few-Shot Learners
Existing auto-regressive language models have demonstrated a remarkable capability to perform a new task with just a few examples in prompt, without requiring any additional training.
GRASS: Unified Generation Model for Speech-to-Semantic Tasks
This paper explores the instruction fine-tuning technique for speech-to-semantic tasks by introducing a unified end-to-end (E2E) framework that generates target text conditioned on a task-related prompt for audio data.
Syntactic Graph Convolutional Network for Spoken Language Understanding
Slot filling and intent detection are two major tasks for spoken language understanding.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
