Papers
MeetingBank: A Benchmark Dataset for Meeting Summarization
Yebowen Hu, Timothy Ganter, Hanieh Deilamsalehy et al.
MeetingQA: Extractive Question-Answering on Meeting Transcripts
Archiki Prasad, Trung Bui, Seunghyun Yoon et al.
MELODI at SemEval-2023 Task 3: In-domain Pre-training for Low-resource Classification of News Articles
Nicolas Devatine, Philippe Muller, Chloé Braud
Membership Inference Attacks against Language Models via Neighbourhood Comparison
Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin et al.
MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization
Shivam Sharma, Ramaneswaran S, Udit Arora et al.
Memory-efficient NLLB-200: Language-specific Expert Pruning of a Massively Multilingual Machine Translation Model
Yeskendir Koishekenov, Alexandre Berard, Vassilina Nikoulina
MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning
Zhenrui Yue, Huimin Zeng, Yang Zhang et al.
Metaphor Detection via Explicit Basic Meanings Modelling
Yucheng Li, Shun Wang, Chenghua Lin et al.
MetaPro Online: A Computational Metaphor Processing Online System
Rui Mao, Xiao Li, Kai He et al.
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning
Aaron Mueller, Kanika Narang, Lambert Mathias et al.
MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models
Masoud Monajatipoor, Liunian Harold Li, Mozhdeh Rouhsedaghat et al.
Method for Designing Semantic Annotation of Sepsis Signs in Clinical Text
Melissa Yan, Lise Gustad, Lise Høvik et al.
MGR: Multi-generator Based Rationalization
Wei Liu, Haozhao Wang, Jun Wang et al.
miCSE: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings
Tassilo Klein, Moin Nabi
MidMed: Towards Mixed-Type Dialogues for Medical Consultation
Xiaoming Shi, Zeming Liu, Chuan Wang et al.
MilaNLP at SemEval-2023 Task 10: Ensembling Domain-Adapted and Regularized Pretrained Language Models for Robust Sexism Detection
Amanda Cercas Curry, Giuseppe Attanasio, Debora Nozza et al.
MIL-Decoding: Detoxifying Language Models at Token-Level via Multiple Instance Learning
Xu Zhang, Xiaojun Wan
Minanto at SemEval-2023 Task 2: Fine-tuning XLM-RoBERTa for Named Entity Recognition on English Data
Antonia Höfer, Mina Mottahedin
MIND at SemEval-2023 Task 11: From Uncertain Predictions to Subjective Disagreement
Giulia Rizzi, Alessandro Astorino, Daniel Scalena et al.
Minding Language Models’ (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker
Melanie Sclar, Sachin Kumar, Peter West et al.
Mind the Biases: Quantifying Cognitive Biases in Language Model Prompting
Ruixi Lin, Hwee Tou Ng
Mind the Gap between the Application Track and the Real World
Ananya Ganesh, Jie Cao, E. Margaret Perkoff et al.
Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training
Kelly Marchisio, Patrick Lewis, Yihong Chen et al.
MIReAD: Simple Method for Learning High-quality Representations from Scientific Documents
Anastasiia Razdaibiedina, Aleksandr Brechalov
MIR-GAN: Refining Frame-Level Modality-Invariant Representations with Adversarial Network for Audio-Visual Speech Recognition
Yuchen Hu, Chen Chen, Ruizhe Li et al.