Who cites «METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments» · page 7

2025 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

Semantically-Informed Regressive Encoder Score — 2023 · Proceedings of the Eighth Conference on Machine Translation
Simple LLM Prompting is State-of-the-Art for Robust and Multilingual Dialogue Evaluation — 2023 · arXiv:2308.16797
SoTaNa: The Open-Source Software Development Assistant — 2023 · arXiv:2308.13416
Socratic Question Generation: A Novel Dataset, Models, and Evaluation — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
Structure-aware Knowledge Graph-to-text Generation with Planning Selection and Similarity Distinction — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Style-Aware Contrastive Learning for Multi-Style Image Captioning — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity — 2023 · arXiv:2310.07521
System-Initiated Transitions from Chit-Chat to Task-Oriented Dialogues with Transition Info Extractor and Transition Sentence Generator — 2023 · Proceedings of the 16th International Natural Language Generation Conference
TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering — 2023 · arXiv:2303.11897
The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
Three Ways of Using Large Language Models to Evaluate Chat — 2023 · Proceedings of the Eleventh Dialog System Technology Challenge
Tokengram_F, a Fast and Accurate Token-based chrF++ Derivative — 2023 · Proceedings of the Eighth Conference on Machine Translation
Towards Explainable Evaluation Metrics for Machine Translation — 2023 · arXiv:2306.13041 · Journal of Machine Learning Research (JMLR), 2024, vol. 25, no. 75, p. 1-49
Towards Multilingual Automatic Open-Domain Dialogue Evaluation — 2023 · Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level — 2023 · Proceedings of the Eighth Conference on Machine Translation
Tree-Based Representation and Generation of Natural and Mathematical Language — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Uniform Complexity for Text Generation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Unleashing the potential of prompt engineering for large language models — 2023 · arXiv:2310.14735 · Patterns 6(6) 101260 (2025)
Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content Filtering — 2023 · arXiv:2304.12102
Unsupervised Graph-Text Mutual Conversion with a Unified Pretrained Language Model — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Using In-Context Learning to Improve Dialogue Safety — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Using Large Language Models for Zero-Shot Natural Language Generation from Knowledge Graphs — 2023 · Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023)
VERVE: Template-based ReflectiVE Rewriting for MotiVational IntErviewing — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Visual Coherence Loss for Coherent and Visually Grounded Story Generation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Visualize Before You Write: Imagination-Guided Open-Ended Text Generation — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences — 2023 · arXiv:2306.07906
White-Box Multi-Objective Adversarial Attack on Dialogue Generation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Zero-shot Faithfulness Evaluation for Text Summarization with Foundation Language Model — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
``What do others think?'''': Task-Oriented Conversational Modeling with Subjective Knowledge — 2023 · Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue
eBLEU: Unexpectedly Good Machine Translation Evaluation Using Simple Word Embeddings — 2023 · Proceedings of the Eighth Conference on Machine Translation
f-Divergence Minimization for Sequence-Level Knowledge Distillation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
$\infty$-former: Infinite Memory Transformer — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
A Dog Is Passing Over The Jet? A Text-Generation Dataset for Korean Commonsense Reasoning and Evaluation — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
A Feasibility Study of Answer-Agnostic Question Generation for Education — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
A Linguistically Motivated Test Suite to Semi-Automatically Evaluate German–English Machine Translation Output — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
A Multifaceted Framework to Evaluate Evasion, Content Preservation, and Misattribution in Authorship Obfuscation Techniques — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
A Question-Answer Driven Approach to Reveal Affirmative Interpretations from Verbal Negations — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
A large-scale computational study of content preservation measures for text style transfer and paraphrase generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
A new approach to calculating BERTScore for automatic assessment of translation quality — 2022 · arXiv:2203.05598
A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge — 2022 · arXiv:2206.01718
ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Adversarial Authorship Attribution for Deobfuscation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
An Evaluation Framework for Legal Document Summarization — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
An Overview on Machine Translation Evaluation — 2022 · arXiv:2202.11027
Approaching English-Polish Machine Translation Quality Assessment with Neural-based Methods — 2022 · arXiv:2209.11016 · Proceedings of the PolEval 2021 Workshop, 2021, 73-78
Arabic Image Captioning using Pre-training of Deep Bidirectional Transformers — 2022 · Proceedings of the 15th International Conference on Natural Language Generation
Assist Non-native Viewers: Multimodal Cross-Lingual Summarization for How2 Videos — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Automating Human Evaluation of Dialogue Systems — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop
BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
BiBL: AMR Parsing and Generation with Bidirectional Bayesian Learning — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
CLIP4IDC: CLIP for Image Difference Captioning — 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Can Pretrained Language Models Generate Persuasive, Faithful, and Informative Ad Text for Product Descriptions? — 2022 · Proceedings of the Fifth Workshop on e-Commerce and NLP (ECNLP 5)
ChatMatch: Evaluating Chatbots by Autonomous Chat Tournaments — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Clickbait Spoiling via Question Answering and Passage Retrieval — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
CoHS-CQG: Context and History Selection for Conversational Question Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
CoSe-Co: Text Conditioned Generative CommonSense Contextualizer — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
CodeExp: Explanatory Code Document Generation — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
CoditT5: Pretraining for Source Code and Natural Language Editing — 2022 · arXiv:2208.05446
ComFact: A Benchmark for Linking Contextual Commonsense Knowledge — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
Controllable Factuality in Document-Grounded Dialog Systems Using a Noisy Channel Model — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
Cross-modal Contrastive Attention Model for Medical Report Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
D4: a Chinese Dialogue Dataset for Depression-Diagnosis-Oriented Chat — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
DEER: Descriptive Knowledge Graph for Explaining Entity Relationships — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
DEMETR: Diagnosing Evaluation Metrics for Translation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Deep Learning for Text Style Transfer: A Survey — 2022 · Computational Linguistics
DialSummEval: Revisiting Summarization Evaluation for Dialogues — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Discourse Cohesion Evaluation for Document-Level Neural Machine Translation — 2022 · arXiv:2208.09118
ELF22: A Context-based Counter Trolling Dataset to Combat Internet Trolls — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Empathetic Persuasion: Reinforcing Empathy and Persuasiveness in Dialogue Systems — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
End-to-end Dense Video Captioning as Sequence Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
Evaluating Agent Interactions Through Episodic Knowledge Graphs — 2022 · Proceedings of the 1st Workshop on Customized Chat Grounding Persona and Knowledge
Evaluating Legal Accuracy of Neural Generators on the Generation of Criminal Court Dockets Description — 2022 · Proceedings of the 15th International Conference on Natural Language Generation
Evaluating MT Systems: A Theoretical Framework — 2022 · arXiv:2202.05806
Evaluating Machine Translation in Cross-lingual E-Commerce Search — 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
Evaluating the Knowledge Dependency of Questions — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Evaluation of Response Generation Models: Shouldn''t It Be Shareable and Replicable? — 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
ExPUNations: Augmenting Puns with Keywords and Explanations — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Examining Large Pre-Trained Language Models for Machine Translation: What You Don''t Know about It — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
Explaining Dialogue Evaluation Metrics using Adversarial Behavioral Analysis — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Exploring Robustness of Machine Translation Metrics: A Study of Twenty-Two Automatic Metrics in the WMT22 Metric Task — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
FALTE: A Toolkit for Fine-grained Annotation for Long Text Evaluation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
Findings of the WMT 2022 Biomedical Translation Shared Task: Monolingual Clinical Case Reports — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
Fine-Grained Controllable Text Generation Using Non-Residual Prompting — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Fine-grained Image Captioning with CLIP Reward — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metrics for Automatic Text Generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Fully-Semantic Parsing and Generation: the BabelNet Meaning Representation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Generative Pretraining for Paraphrase Evaluation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Grafting Pre-trained Models for Multimodal Headline Generation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Industry Track
Graph Pre-training for AMR Parsing and Generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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