The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) will take place in Singapore from Dec 6th to Dec 10th, 2023. Congratulations to all the CAIDA members you have had papers accepted to this year’s conference!
MAIN CONFERENCE:
EunJeong Hwang and Vered Shwartz
MemeCap: A Dataset for Captioning and Interpreting Memes
Mehar Bhatia and Vered Shwartz
GD-COMET: A Geo-Diverse Commonsense Inference Model
EunJeong Hwang, Veronika Thost, Vered Shwartz, and Tengfei Ma
Knowledge Graph Compression Enhances Diverse Commonsense Generation
Farhan Samir and Miikka Silfverberg
Understanding Compositional Data Augmentation in Typologically Diverse Morphological Inflection
FINDINGS:
Sahithya Ravi, Raymond Ng, Vered Shwartz
COMET-M: Reasoning about Multiple Events in Complex Sentences
Raymond Li, Gabriel Murray, Giuseppe Carenini
Mixture-of-Linguistic-Experts Adapters for Improving and Interpreting Pre-trained Language Models
EunJeong Hwang, Bodhisattwa Prasad Majumder, Niket Tandon
Aligning Language Models to User Opinions
Wenkai Chen, Sahithya Ravi, Vered Shwartz
CASE: Commonsense-Augmented Score with an Expanded Answer Space
WORKSHOPS:
Linzi Xing, Brad Hackinen, and Giuseppe Carenini
Tracing Influence at Scale: A Contrastive Learning Approach to Linking Public Comments and Regulator Responses (@NLLP'23)
Shuhaib Mehri and Vered Shwartz
Automatic Evaluation of Generative Models with Instruction Tuning (@GEM'23)
Note: All CAIDA Members have been bolded and a link has been provided to their personal webpages