Summarization

CALAMR: Component ALignment for Abstract Meaning Representation COLING 2024 CALVIN: Improved Contextual Video Captioning via Instruction Tuning NeurIPS 2024 Can Large Language Model Summarizers Adapt to Diverse Scientific Communication Goals? ACL 2024 Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization? EMNLP 2024 CAR-Transformer: Cross-Attention Reinforcement Transformer for Cross-Lingual Summarization AAAI 2024 Challenges at SemEval 2024 Task 7: Contrastive Learning Approach on Numeral-Aware Language Generation SemEval 2024 ChartInstruct: Instruction Tuning for Chart Comprehension and Reasoning ACL 2024 ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization COLING 2024 Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers ACL 2024 CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare AAAI 2024 ClusterCore at SemEval-2024 Task 7: Few Shot Prompting With Large Language Models for Numeral-Aware Headline Generation SemEval 2024 Cochrane-auto: An Aligned Dataset for the Simplification of Biomedical Abstracts EMNLP 2024 Comprehensive Abstractive Comment Summarization with Dynamic Clustering and Chain of Thought ACL 2024 Controllable Text Summarization: Unraveling Challenges, Approaches, and Prospects - A Survey ACL 2024 CroCoSum: A Benchmark Dataset for Cross-Lingual Code-Switched Summarization COLING 2024 Cross Examine: An Ensemble-based approach to leverage Large Language Models for Legal Text Analytics EMNLP 2024 Ctyun AI at BioLaySumm: Enhancing Lay Summaries of Biomedical Articles Through Large Language Models and Data Augmentation ACL 2024 DataTales: A Benchmark for Real-World Intelligent Data Narration EMNLP 2024 DeakinNLP at BioLaySumm: Evaluating Fine-tuning Longformer and GPT-4 Prompting for Biomedical Lay Summarization ACL 2024 Defining and Detecting Vulnerability in Human Evaluation Guidelines: A Preliminary Study Towards Reliable NLG Evaluation NAACL 2024 Delving into the Depths: Evaluating Depression Severity through BDI-biased Summaries EACL 2024 Detecting Errors through Ensembling Prompts (DEEP): An End-to-End LLM Framework for Detecting Factual Errors EMNLP 2024 DeVAn: Dense Video Annotation for Video-Language Models ACL 2024 Dialogue Summarization with Mixture of Experts based on Large Language Models ACL 2024 DIBS: Enhancing Dense Video Captioning with Unlabeled Videos via Pseudo Boundary Enrichment and Online Refinement CVPR 2024