Schedule

All times are Pacific Time (Seattle) UTC-8

• 13:00: Opening Remarks

• 13:03: Can Language Models Be Specific? How? (Jie Huang)

• 13:13: Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator (Hyuhng Joon Kim)

• 13:20: Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation (Kushal Arora)

• 13:32: Minion: A Large-scale and Diverse Dataset for Multilingual Event Detection (Amir Veyseh)

• 13:43: Cross-Lingual Event Detection via Optimized Adversarial Training (Luis F. Guzman-Nateras)

• 13:55: Cross-Task Instance Representation Interaction and Label Dependencies for Joint Information Extraction with Graph Convolution Network (Minh Van Nguyen)