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ORCIDTL4NLP 2022, New Orleans, Louisiana, USA
- Alon Albalak, Chunting Zhou, Colin Raffel, Deepak Ramachandran, Sebastian Ruder, Xuezhe Ma:
Transfer Learning for Natural Language Processing Workshop, 03 December 2022, New Orleans, Louisiana, USA. Proceedings of Machine Learning Research 203, PMLR 2022 - Junze Li, Mengjie Zhao, Yubo Xie, Antonis Maronikolakis, Pearl Pu, Hinrich Schütze:
This joke is [MASK]: Recognizing Humor and Offense with Prompting. 1-9 - Anuj Diwan, Puyuan Peng, Raymond J. Mooney:
Zero-shot Video Moment Retrieval With Off-the-Shelf Models. 10-21 - Rafal Kocielnik, Sara Kangaslahti, Shrimai Prabhumoye, Meena Hari, R. Michael Alvarez, Anima Anandkumar:
Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions. 22-32 - Ashwani Bhat, Ashutosh Modi:
Multi-Task Learning Framework for Extracting Emotion Cause Span and Entailment in Conversations. 33-51 - Joel Jang, Seonghyeon Ye, Minjoon Seo:
Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts. 52-62 - Sinchani Chakraborty, Harsh Raj, Srishti Gureja, Tanmay Jain, Atif Hassan, Sayantan Basu:
Evaluating the Robustness of Biomedical Concept Normalization. 63-73 - Jie He, Yu Fu:
MetaXCR: Reinforcement-Based Meta-Transfer Learning for Cross-Lingual Commonsense Reasoning. 74-87 - Benjamin Muller, Deepanshu Gupta, Jean-Philippe Fauconnier, Siddharth Patwardhan, David Vandyke, Sachin Agarwal:
Languages You Know Influence Those You Learn: Impact of Language Characteristics on Multi-Lingual Text-to-Text Transfer. 88-102 - Rajaswa Patil, Manasi Patwardhan, Shirish Karande, Lovekesh Vig, Gautam Shroff:
Exploring Dimensions of Generalizability and Few-shot Transfer for Text-to-SQL Semantic Parsing. 103-114
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