natural language generation

Disordered-DABS: A Benchmark for Dynamic Aspect-Based Summarization in Disordered Texts EMNLP 2024 Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder ACL 2024 Evaluating Diversity in Automatic Poetry Generation EMNLP 2024 Exploring Data Augmentation in Neural DRS-to-Text Generation EACL 2024 Few-shot Question Generation for Reading Comprehension ACL 2024 Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward AAAI 2024 Frogs into princes: A generative model to understand the success of product descriptions COLING 2024 From Model-centered to Human-Centered: Revision Distance as a Metric for Text Evaluation in LLMs-based Applications ACL 2024 From Pixels to Personas: Investigating and Modeling Self-Anthropomorphism in Human-Robot Dialogues EMNLP 2024 Fusion-Eval: Integrating Assistant Evaluators with LLMs EMNLP 2024 Gazelle: An Instruction Dataset for Arabic Writing Assistance EMNLP 2024 Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs ICLR 2024 GreekBART: The First Pretrained Greek Sequence-to-Sequence Model COLING 2024 Harmonizing Code-mixed Conversations: Personality-assisted Code-mixed Response Generation in Dialogues EACL 2024 imapScore: Medical Fact Evaluation Made Easy ACL 2024 Improving Industrial Safety by Auto-Generating Case-specific Preventive Recommendations EMNLP 2024 Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets EMNLP 2024 Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders EACL 2024 Intrinsic Task-based Evaluation for Referring Expression Generation ACL 2024 Introducing Spatial Information and a Novel Evaluation Scheme for Open-Domain Live Commentary Generation EMNLP 2024 Is Reference Necessary in the Evaluation of NLG Systems? When and Where? NAACL 2024 KEEP CHATTING! An Attractive Dataset for Continuous Conversation Agents ACL 2024 Language Models can Evaluate Themselves via Probability Discrepancy ACL 2024 Less is More for Improving Automatic Evaluation of Factual Consistency NAACL 2024 Leveraging Large Language Models for NLG Evaluation: Advances and Challenges EMNLP 2024