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Papers (including subtopics)

Modeling Appropriate Language in Argumentation ACL 2023 Modeling Empathic Similarity in Personal Narratives EMNLP 2023 Modeling Entities As Semantic Points for Visual Information Extraction in the Wild CVPR 2023 Modeling Highlighting of Metaphors in Multitask Contrastive Learning Paradigms EMNLP 2023 Modeling Readers’ Appreciation of Literary Narratives Through Sentiment Arcs and Semantic Profiles ACL 2023 Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation ACL 2023 Modelling Political Aggression on Social Media Platforms ACL 2023 Modular Speech-to-Text Translation for Zero-Shot Cross-Modal Transfer Interspeech 2023 Modular Visual Question Answering via Code Generation ACL 2023 Monolingual Phrase Alignment as Parse Forest Mapping ACL 2023 MoQA: Benchmarking Multi-Type Open-Domain Question Answering ACL 2023 MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model EMNLP 2023 More Robust Schema-Guided Dialogue State Tracking via Tree-Based Paraphrase Ranking EACL 2023 More than Classification: A Unified Framework for Event Temporal Relation Extraction ACL 2023 More than Votes? Voting and Language based Partisanship in the US Supreme Court EMNLP 2023 Morphological Inflection: A Reality Check ACL 2023 Motion Question Answering via Modular Motion Programs ICML 2023 Movie101: A New Movie Understanding Benchmark ACL 2023 Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking ACL 2023 MPMQA: Multimodal Question Answering on Product Manuals AAAI 2023 mPMR: A Multilingual Pre-trained Machine Reader at Scale ACL 2023 MPrompt: Exploring Multi-level Prompt Tuning for Machine Reading Comprehension EMNLP 2023 mRedditSum: A Multimodal Abstractive Summarization Dataset of Reddit Threads with Images EMNLP 2023 mReFinED: An Efficient End-to-End Multilingual Entity Linking System EMNLP 2023 Mr-Fosdick at SemEval-2023 Task 5: Comparing Dataset Expansion Techniques for Non-Transformer and Transformer Models: Improving Model Performance through Data Augmentation SemEval 2023