natural language generation

Likelihood-based Mitigation of Evaluation Bias in Large Language Models ACL 2024 Linguistically Communicating Uncertainty in Patient-Facing Risk Prediction Models EACL 2024 LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models EACL 2024 MAP’s not dead yet: Uncovering true language model modes by conditioning away degeneracy ACL 2024 MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records AAAI 2024 More Victories, Less Cooperation: Assessing Cicero’s Diplomacy Play ACL 2024 NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian EMNLP 2024 Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References NAACL 2024 NU-RU at SemEval-2024 Task 6: Hallucination and Related Observable Overgeneration Mistake Detection Using Hypothesis-Target Similarity and SelfCheckGPT SemEval 2024 One Prompt To Rule Them All: LLMs for Opinion Summary Evaluation ACL 2024 “One-Size-Fits-All”? Examining Expectations around What Constitute “Fair” or “Good” NLG System Behaviors NAACL 2024 On the Intractability to Synthesize Factual Inconsistencies in Summarization EACL 2024 Ontologically Faithful Generation of Non-Player Character Dialogues EMNLP 2024 Plain Language Summarization of Clinical Trials COLING 2024 Plots Made Quickly: An Efficient Approach for Generating Visualizations from Natural Language Queries COLING 2024 PRIMO: Progressive Induction for Multi-hop Open Rule Generation COLING 2024 Promoting Constructive Deliberation: Reframing for Receptiveness EMNLP 2024 Prompt-based Generation of Natural Language Explanations of Synthetic Lethality for Cancer Drug Discovery COLING 2024 Pron vs Prompt: Can Large Language Models already Challenge a World-Class Fiction Author at Creative Text Writing? EMNLP 2024 QGEval: Benchmarking Multi-dimensional Evaluation for Question Generation EMNLP 2024 QuerySum: A Multi-Document Query-Focused Summarization Dataset Augmented with Similar Query Clusters AAAI 2024 RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models ACL 2024 Reference-based Metrics Disprove Themselves in Question Generation EMNLP 2024 Related Work and Citation Text Generation: A Survey EMNLP 2024 ReproHum: #0033-03: How Reproducible Are Fluency Ratings of Generated Text? A Reproduction of August et al. 2022 COLING 2024