Papers
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
Math Word Problem Solving by Generating Linguistic Variants of Problem Statements
Syed Rifat Raiyan, Md Nafis Faiyaz, Shah Md. Jawad Kabir et al.
MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling
Yu Song, Santiago Miret, Bang Liu
Matt Bai at SemEval-2023 Task 5: Clickbait spoiler classification via BERT
Nukit Tailor, Radhika Mamidi
Maximum Entropy Loss, the Silver Bullet Targeting Backdoor Attacks in Pre-trained Language Models
Zhengxiao Liu, Bowen Shen, Zheng Lin et al.
mCLIP: Multilingual CLIP via Cross-lingual Transfer
Guanhua Chen, Lu Hou, Yun Chen et al.
mCPT at SemEval-2023 Task 3: Multilingual Label-Aware Contrastive Pre-Training of Transformers for Few- and Zero-shot Framing Detection
Markus Reiter-Haas, Alexander Ertl, Kevin Innerebner et al.
MDACE: MIMIC Documents Annotated with Code Evidence
Hua Cheng, Rana Jafari, April Russell et al.
MDC at BioLaySumm Task 1: Evaluating GPT Models for Biomedical Lay Summarization
Oisín Turbitt, Robert Bevan, Mouhamad Aboshokor
MDC at SemEval-2023 Task 7: Fine-tuning Transformers for Textual Entailment Prediction and Evidence Retrieval in Clinical Trials
Robert Bevan, Oisín Turbitt, Mouhamad Aboshokor
Measuring and Mitigating Local Instability in Deep Neural Networks
Arghya Datta, Subhrangshu Nandi, Jingcheng Xu et al.
Measuring Consistency in Text-based Financial Forecasting Models
Linyi Yang, Yingpeng Ma, Yue Zhang
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations
Chenglei Si, Dan Friedman, Nitish Joshi et al.
Measuring Intersectional Biases in Historical Documents
Nadav Borenstein, Karolina Stanczak, Thea Rolskov et al.
Measuring Lexico-Semantic Alignment in Debates with Contextualized Word Representations
Aina Garí Soler, Matthieu Labeau, Chloé Clavel
Measuring Progress in Fine-grained Vision-and-Language Understanding
Emanuele Bugliarello, Laurent Sartran, Aishwarya Agrawal et al.
Measuring the Effect of Influential Messages on Varying Personas
Chenkai Sun, Jinning Li, Hou Pong Chan et al.