Papers
D2KLab at SemEval-2023 Task 2: Leveraging T-NER to Develop a Fine-Tuned Multilingual Model for Complex Named Entity Recognition
Thibault Ehrhart, Julien Plu, Raphael Troncy
DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition
Zeqi Tan, Shen Huang, Zixia Jia et al.
DAMP: Doubly Aligned Multilingual Parser for Task-Oriented Dialogue
William Held, Christopher Hidey, Fei Liu et al.
DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation
Menglong Lu, Zhen Huang, Yunxiang Zhao et al.
DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications
Adam Ivankay, Mattia Rigotti, Pascal Frossard
DarkBERT: A Language Model for the Dark Side of the Internet
Youngjin Jin, Eugene Jang, Jian Cui et al.
Data Augmentation for Low-Resource Keyphrase Generation
Krishna Garg, Jishnu Ray Chowdhury, Cornelia Caragea
Data Curation Alone Can Stabilize In-context Learning
Ting-Yun Chang, Robin Jia
Data-Efficient Finetuning Using Cross-Task Nearest Neighbors
Hamish Ivison, Noah A. Smith, Hannaneh Hajishirzi et al.
Data-Efficient French Language Modeling with CamemBERTa
Wissam Antoun, Benoît Sagot, Djamé Seddah
DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions
Vijay Viswanathan, Luyu Gao, Tongshuang Wu et al.
Data Sampling and (In)stability in Machine Translation Evaluation
Chi-kiu Lo, Rebecca Knowles
Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values
Stephanie Schoch, Ritwick Mishra, Yangfeng Ji
Dataset Distillation with Attention Labels for Fine-tuning BERT
Aru Maekawa, Naoki Kobayashi, Kotaro Funakoshi et al.
Dating Greek Papyri with Text Regression
John Pavlopoulos, Maria Konstantinidou, Isabelle Marthot-Santaniello et al.
D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias
Sabit Hassan, Malihe Alikhani
DCU at SemEval-2023 Task 10: A Comparative Analysis of Encoder-only and Decoder-only Language Models with Insights into Interpretability
Kanishk Verma, Kolawole Adebayo, Joachim Wagner et al.
Dealing with Semantic Underspecification in Multimodal NLP
Sandro Pezzelle
Debiasing Generative Named Entity Recognition by Calibrating Sequence Likelihood
Yu Xia, Yongwei Zhao, Wenhao Wu et al.
Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models
Robert Morabito, Jad Kabbara, Ali Emami
Debunking Biases in Attention
Shijing Chen, Usman Naseem, Imran Razzak
Decker: Double Check with Heterogeneous Knowledge for Commonsense Fact Verification
Anni Zou, Zhuosheng Zhang, Hai Zhao
Decoder Tuning: Efficient Language Understanding as Decoding
Ganqu Cui, Wentao Li, Ning Ding et al.