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Papers (including subtopics)

PUB: A Pragmatics Understanding Benchmark for Assessing LLMs’ Pragmatics Capabilities ACL 2024 Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes ACL 2024 Punny_Punctuators@DravidianLangTech-EACL2024: Transformer-based Approach for Detection and Classification of Fake News in Malayalam Social Media Text EACL 2024 Purpose Enhanced Reasoning through Iterative Prompting: Uncover Latent Robustness of ChatGPT on Code Comprehension IJCAI 2024 Putting Context in Context: the Impact of Discussion Structure on Text Classification EACL 2024 PWEITINLP at SemEval-2024 Task 3: Two Step Emotion Cause Analysis SemEval 2024 QAES: First Publicly-Available Trait-Specific Annotations for Automated Scoring of Arabic Essays ACL 2024 QAEVENT: Event Extraction as Question-Answer Pairs Generation EACL 2024 QAVSA: Question Answering using Vector Symbolic Algebras ACL 2024 Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision ICLR 2024 QGEval: Benchmarking Multi-dimensional Evaluation for Question Generation EMNLP 2024 QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs EMNLP 2024 QPEN: Quantum Projection and Quantum Entanglement Enhanced Network for Cross-Lingual Aspect-Based Sentiment Analysis AAAI 2024 QRMeM: Unleash the Length Limitation through Question then Reflection Memory Mechanism EMNLP 2024 Quality and Quantity of Machine Translation References for Automatic Metrics COLING 2024 Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model ACL 2024 Quality Does Matter: A Detailed Look at the Quality and Utility of Web-Mined Parallel Corpora EACL 2024 Quality or Quantity? On Data Scale and Diversity in Adapting Large Language Models for Low-Resource Translation EMNLP 2024 Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective EMNLP 2024 Quantifying and Optimizing Global Faithfulness in Persona-driven Role-playing NeurIPS 2024 Quantifying Generative Media Bias with a Corpus of Real-world and Generated News Articles EMNLP 2024 Quantifying Political Polarization through the Lens of Machine Translation and Vicarious Offense AAAI 2024 Quantifying Stereotypes in Language EACL 2024 Quantifying the Ethical Dilemma of Using Culturally Toxic Training Data in AI Tools for Indigenous Languages COLING 2024 Quantifying the Gaps Between Translation and Native Perception in Training for Multimodal, Multilingual Retrieval EMNLP 2024