Papers
MISGENDERED: Limits of Large Language Models in Understanding Pronouns
Tamanna Hossain, Sunipa Dev, Sameer Singh
Misleading Relation Classifiers by Substituting Words in Texts
Tian Jiang, Yunqi Liu, Yan Feng et al.
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types
Keerthiram Murugesan, Sarathkrishna Swaminathan, Soham Dan et al.
Mitigating Label Biases for In-context Learning
Yu Fei, Yifan Hou, Zeming Chen et al.
Mitigating the Burden of Redundant Datasets via Batch-Wise Unique Samples and Frequency-Aware Losses
Donato Crisostomi, Andrea Caciolai, Alessandro Pedrani et al.
MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies
Shiyue Zhang, Shijie Wu, Ozan Irsoy et al.
Mixed Orthographic/Phonemic Language Modeling: Beyond Orthographically Restricted Transformers (BORT)
Robert C. Gale, Alexandra C. Salem, Gerasimos Fergadiotis et al.
MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction
Li Yang, Qifan Wang, Jingang Wang et al.
Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models’ Memories
Shizhe Diao, Tianyang Xu, Ruijia Xu et al.
MLlab4CS at SemEval-2023 Task 2: Named Entity Recognition in Low-resource Language Bangla Using Multilingual Language Models
Shrimon Mukherjee, Madhusudan Ghosh, Girish et al.
ML-LMCL: Mutual Learning and Large-Margin Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding
Xuxin Cheng, Bowen Cao, Qichen Ye et al.
ML Mob at SemEval-2023 Task 1: Probing CLIP on Visual Word-Sense Disambiguation
Clifton Poth, Martin Hentschel, Tobias Werner et al.
ML Mob at SemEval-2023 Task 5: “Breaking News: Our Semi-Supervised and Multi-Task Learning Approach Spoils Clickbait”
Hannah Sterz, Leonard Bongard, Tobias Werner et al.
MLModeler5 at SemEval-2023 Task 3: Detecting the Category and the Framing Techniques in Online News in a Multi-lingual Setup
Arjun Khanchandani, Nitansh Jain, Jatin Bedi
MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation
Jiazhan Feng, Qingfeng Sun, Can Xu et al.
MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System
Libo Qin, Shijue Huang, Qiguang Chen et al.
MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks
Letitia Parcalabescu, Anette Frank
MobileNMT: Enabling Translation in 15MB and 30ms
Ye Lin, Xiaohui Wang, Zhexi Zhang et al.
Modality Adaption or Regularization? A Case Study on End-to-End Speech Translation
Yuchen Han, Chen Xu, Tong Xiao et al.
Model Analysis & Evaluation for Ambiguous Question Answering
Konstantinos Papakostas, Irene Papadopoulou
Model-Based Simulation for Optimising Smart Reply
Benjamin Towle, Ke Zhou
Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers
Linyuan Gong, Chenyan Xiong, Xiaodong Liu et al.
Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making
Xuanjie Fang, Sijie Cheng, Yang Liu et al.
Modeling Appropriate Language in Argumentation
Timon Ziegenbein, Shahbaz Syed, Felix Lange et al.