| Time | Location | Activity | ||
|---|---|---|---|---|
| Aug 24 Thu, 10:00-10:20 (IST) | Wicklow Hall 1 | Oral presentation of the conf paper: Parameter-Efficient Low-Resource Dialogue State Tracking by Prompt Tuning. In the collaboration work with Amazon Alexa AI, we introduce a dialogue state tracking model tuning less than 1% of LM parameters and achieves better low-resource performance with prompt tuning techniques. |