Papers
Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation
Martijn Bartelds, Nay San, Bradley McDonnell et al.
Making Pre-trained Language Models Better Learn Few-Shot Spoken Language Understanding in More Practical Scenarios
Yufan Wang, Jie Mei, Bowei Zou et al.
Making Pre-trained Language Models both Task-solvers and Self-calibrators
Yangyi Chen, Xingyao Wang, Heng Ji
Making the Most Out of the Limited Context Length: Predictive Power Varies with Clinical Note Type and Note Section
Hongyi Zheng, Yixin Zhu, Lavender Jiang et al.
ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning
Xiao Xu, Bei Li, Chenfei Wu et al.
MANNER: A Variational Memory-Augmented Model for Cross Domain Few-Shot Named Entity Recognition
Jinyuan Fang, Xiaobin Wang, Zaiqiao Meng et al.
„Mann“ is to “Donna” as「国王」is to « Reine » Adapting the Analogy Task for Multilingual and Contextual Embeddings
Timothee Mickus, Eduardo Calò, Léo Jacqmin et al.
Mao-Zedong at SemEval-2023 Task 4: Label Represention Multi-Head Attention Model with Contrastive Learning-Enhanced Nearest Neighbor Mechanism for Multi-Label Text Classification
Che Zhang, Ping’an Liu, Zhenyang Xiao et al.
Mapping Brains with Language Models: A Survey
Antonia Karamolegkou, Mostafa Abdou, Anders Søgaard
Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models
Myra Cheng, Esin Durmus, Dan Jurafsky
MarsEclipse at SemEval-2023 Task 3: Multi-lingual and Multi-label Framing Detection with Contrastive Learning
Qisheng Liao, Meiting Lai, Preslav Nakov
Mars: Modeling Context & State Representations with Contrastive Learning for End-to-End Task-Oriented Dialog
Haipeng Sun, Junwei Bao, Youzheng Wu et al.
Masakhane-Afrisenti at SemEval-2023 Task 12: Sentiment Analysis using Afro-centric Language Models and Adapters for Low-resource African Languages
Israel Abebe Azime, Sana Sabah Al-Azzawi, Atnafu Lambebo Tonja et al.
MasakhaPOS: Part-of-Speech Tagging for Typologically Diverse African languages
Cheikh M. Bamba Dione, David Ifeoluwa Adelani, Peter Nabende et al.
Masked Audio Text Encoders are Effective Multi-Modal Rescorers
Jinglun Cai, Monica Sunkara, Xilai Li et al.
MasonNLP+ at SemEval-2023 Task 8: Extracting Medical Questions, Experiences and Claims from Social Media using Knowledge-Augmented Pre-trained Language Models
Giridhar Kaushik Ramachandran, Haritha Gangavarapu, Kevin Lybarger et al.
MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
Jack FitzGerald, Christopher Hench, Charith Peris et al.
Massively Multi-Lingual Event Understanding: Extraction, Visualization, and Search
Chris Jenkins, Shantanu Agarwal, Joel Barry et al.
Massively Multilingual Lexical Specialization of Multilingual Transformers
Tommaso Green, Simone Paolo Ponzetto, Goran Glavaš
MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering
Fangyu Liu, Francesco Piccinno, Syrine Krichene et al.
Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models
Myles Foley, Ambrish Rawat, Taesung Lee et al.
MathPrompter: Mathematical Reasoning using Large Language Models
Shima Imani, Liang Du, Harsh Shrivastava