EMNLP 2023 Accepted Papers

EMNLP 2023
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November 10, 2023

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!


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


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


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

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