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

Demonstration Selection Strategies for Numerical Time Series Data-to-Text — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
Detecting Errors through Ensembling Prompts (DEEP): An End-to-End LLM Framework for Detecting Factual Errors — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
DiffuCOMET: Contextual Commonsense Knowledge Diffusion — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Diffusion Glancing Transformer for Parallel Sequence-to-Sequence Learning — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
Direct Metric Optimization for Image Captioning through Reward-Weighted Augmented Data Utilization — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Distantly Supervised Contrastive Learning for Low-Resource Scripting Language Summarization — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Divide and Conquer Radiology Report Generation via Observation Level Fine-grained Pretraining and Prompt Tuning — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Divide-Conquer-Reasoning for Consistency Evaluation and Automatic Improvement of Large Language Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track
DoG-Instruct: Towards Premium Instruction-Tuning Data via Text-Grounded Instruction Wrapping — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Dunamu-ml's Submissions on AVERITEC Shared Task — 2024 · Proceedings of the Seventh Fact Extraction and VERification Workshop (FEVER)
Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification — 2024 · arXiv:2412.00876
ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling — 2024 · arXiv:2412.14373
ECoK: Emotional Commonsense Knowledge Graph for Mining Emotional Gold — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
ECoh: Turn-level Coherence Evaluation for Multilingual Dialogues — 2024 · Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue
EHDChat: A Knowledge-Grounded, Empathy-Enhanced Language Model for Healthcare Interactions — 2024 · Proceedings of the Second Workshop on Social Influence in Conversations (SICon 2024)
EPFL-MAKE at ``Discharge Me!'''': An LLM System for Automatically Generating Discharge Summaries of Clinical Electronic Health Record — 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing
EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction — 2024 · arXiv:2407.00924
Effective Distillation of Table-based Reasoning Ability from LLMs — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Empowering AAC Users: A Systematic Integration of Personal Narratives with Conversational AI — 2024 · Proceedings of the 1st Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual (CustomNLP4U)
Enhanced BioT5+ for Molecule-Text Translation: A Three-Stage Approach with Data Distillation, Diverse Training, and Voting Ensemble — 2024 · Proceedings of the 1st Workshop on Language + Molecules (L+M 2024)
Enhancing Cross Text-Molecule Learning by Self-Augmentation — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Enhancing Situation Awareness through Model-Based Explanation Generation — 2024 · Proceedings of the 2nd Workshop on Practical LLM-assisted Data-to-Text Generation
Enhancing adversarial robustness in Natural Language Inference using explanations — 2024 · Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP
Evaluating WMT 2024 Metrics Shared Task Submissions on AfriMTE (the African Challenge Set) — 2024 · Proceedings of the Ninth Conference on Machine Translation
Evaluation of Machine Translation Based on Semantic Dependencies and Keywords — 2024 · arXiv:2404.14443
Explainable Multi-hop Question Generation: An End-to-End Approach without Intermediate Question Labeling — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Exploring Defeasibility in Causal Reasoning — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Exploring Union and Intersection of Visual Regions for Generating Questions, Answers, and Distractors — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Exploring the Correlation between Human and Machine Evaluation of Simultaneous Speech Translation — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
FLEUR: An Explainable Reference-Free Evaluation Metric for Image Captioning Using a Large Multimodal Model — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
FZI-WIM at AVeriTeC Shared Task: Real-World Fact-Checking with Question Answering — 2024 · Proceedings of the Seventh Fact Extraction and VERification Workshop (FEVER)
Fair Abstractive Summarization of Diverse Perspectives — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
Findings of WMT 2024 Shared Task on Low-Resource Indic Languages Translation — 2024 · Proceedings of the Ninth Conference on Machine Translation
FineSurE: Fine-grained Summarization Evaluation using LLMs — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
From Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation — 2024 · arXiv:2403.14118 · 2024 International Joint Conference on Neural Networks (IJCNN)
From Sights to Insights: Towards Summarization of Multimodal Clinical Documents — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
From promise to practice: realizing high-performance decentralized training — 2024 · arXiv:2410.11998
GEE! Grammar Error Explanation with Large Language Models — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
GProofT: A Multi-dimension Multi-round Fact Checking Framework Based on Claim Fact Extraction — 2024 · Proceedings of the Seventh Fact Extraction and VERification Workshop (FEVER)
Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Generating Faithful and Salient Text from Multimodal Data — 2024 · Proceedings of the 17th International Natural Language Generation Conference
Generating Signed Language Instructions in Large-Scale Dialogue Systems — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 6: Industry Track)
Generating Vehicular Icon Descriptions and Indications Using Large Vision-Language Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track
Generation and Evaluation of English Grammar Multiple-Choice Cloze Exercises — our card · 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)
German Text Simplification: Finetuning Large Language Models with Semi-Synthetic Data — 2024 · Proceedings of the Fourth Workshop on Language Technology for Equality, Diversity, Inclusion
Google Translate Error Analysis for Mental Healthcare Information: Evaluating Accuracy, Comprehensibility, and Implications for Multilingual Healthcare Communication — 2024 · arXiv:2402.04023
Guided Profile Generation Improves Personalization with Large Language Models — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
GuyLingo: The Republic of Guyana Creole Corpora — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)
H-LegalKI: A Hierarchical Legal Knowledge Integration Framework for Legal Community Question Answering — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
HELPD: Mitigating Hallucination of LVLMs by Hierarchical Feedback Learning with Vision-enhanced Penalty Decoding — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
HOTVCOM: Generating Buzzworthy Comments for Videos — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Hallucination Detection in LLM-enriched Product Listings — 2024 · Proceedings of the Seventh Workshop on e-Commerce and NLP @ LREC-COLING 2024
Hallucination of Multimodal Large Language Models: A Survey — 2024 · arXiv:2404.18930
HerO at AVeriTeC: The Herd of Open Large Language Models for Verifying Real-World Claims — 2024 · Proceedings of the Seventh Fact Extraction and VERification Workshop (FEVER)
HierarchyNet: Learning to Summarize Source Code with Heterogeneous Representations — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
Hope `The Paragraph Guy'' explains the rest : Introducing MeSum, the Meme Summarizer — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
How to Engage your Readers? Generating Guiding Questions to Promote Active Reading — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track
ICC : Quantifying Image Caption Concreteness for Multimodal Dataset Curation — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
ICON: Improving Inter-Report Consistency in Radiology Report Generation via Lesion-aware Mixup Augmentation — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
IFCap: Image-like Retrieval and Frequency-based Entity Filtering for Zero-shot Captioning — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
IT-Tuning : Parameter Efficient Information Token Tuning for Language Model — 2024 · Proceedings of the 9th Workshop on Representation Learning for NLP (RepL4NLP-2024)
IgnitionInnovators at ``Discharge Me!'''': Chain-of-Thought Instruction Finetuning Large Language Models for Discharge Summaries — 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing
Improving Authorship Privacy: Adaptive Obfuscation with the Dynamic Selection of Techniques — 2024 · Proceedings of the Fifth Workshop on Privacy in Natural Language Processing
IndiFoodVQA: Advancing Visual Question Answering and Reasoning with a Knowledge-Infused Synthetic Data Generation Pipeline — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
Intent-conditioned and Non-toxic Counterspeech Generation using Multi-Task Instruction Tuning with RLAIF — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis — 2024 · Proceedings of the Ninth Conference on Machine Translation
Is Reference Necessary in the Evaluation of NLG Systems? When and Where? — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Is Summary Useful or Not? An Extrinsic Human Evaluation of Text Summaries on Downstream Tasks — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Ixa-Med at Discharge Me! Retrieval-Assisted Generation for Streamlining Discharge Documentation — 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing
JAMDEC: Unsupervised Authorship Obfuscation using Constrained Decoding over Small Language Models — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Kalahi: A handcrafted, grassroots cultural LLM evaluation suite for Filipino — 2024 · Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Knowledge-Centric Templatic Views of Documents — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
LAMBDA: Large Language Model-Based Data Augmentation for Multi-Modal Machine Translation — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
LEGAL-UQA: A Low-Resource Urdu-English Dataset for Legal Question Answering — 2024 · arXiv:2410.13013
LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
LOCR: Location-Guided Transformer for Optical Character Recognition — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation? — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
LaMP: When Large Language Models Meet Personalization — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Language Models as Inductive Reasoners — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
Large Language Models are Inconsistent and Biased Evaluators — 2024 · arXiv:2405.01724
Legal Judgment Reimagined: PredEx and the Rise of Intelligent AI Interpretation in Indian Courts — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Let''s Go Real Talk: Spoken Dialogue Model for Face-to-Face Conversation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Leveraging Context-Aware Prompting for Commit Message Generation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Leveraging LLM Reasoning Enhances Personalized Recommender Systems — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Leveraging Large Language Models for Building Interpretable Rule-Based Data-to-Text Systems — 2024 · Proceedings of the 17th International Natural Language Generation Conference
Leveraging Plug-and-Play Models for Rhetorical Structure Control in Text Generation — 2024 · Proceedings of the 17th International Natural Language Generation Conference
Local and Global Contexts for Conversation — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
LongForm: Effective Instruction Tuning with Reverse Instructions — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
LooGLE: Can Long-Context Language Models Understand Long Contexts? — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)