Who cites «COMET: A Neural Framework for MT Evaluation» · page 5

1167 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

Findings of the WMT 2024 Biomedical Translation Shared Task: Test Sets on Abstract Level — 2024 · Proceedings of the Ninth Conference on Machine Translation
Findings of the WMT 2024 Shared Task Translation into Low-Resource Languages of Spain: Blending Rule-Based and Neural Systems — 2024 · Proceedings of the Ninth Conference on Machine Translation
Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice? — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
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 LLM to NMT: Advancing Low-Resource Machine Translation with Claude — 2024 · arXiv:2404.13813
G-DIG: Towards Gradient-based DIverse and hiGh-quality Instruction Data Selection for Machine Translation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
GAATME: A Genetic Algorithm for Adversarial Translation Metrics Evaluation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
GPT-4 vs. Human Translators: A Comprehensive Evaluation of Translation Quality Across Languages, Domains, and Expertise Levels — 2024 · arXiv:2407.03658
Gaining More Insight into Neural Semantic Parsing with Challenging Benchmarks — 2024 · Proceedings of the Fifth International Workshop on Designing Meaning Representations @ LREC-COLING 2024
Gender-specific Machine Translation with Large Language Models — 2024 · Proceedings of the Fourth Workshop on Multilingual Representation Learning (MRL 2024)
Guardians of the Machine Translation Meta-Evaluation: Sentinel Metrics Fall In! — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Guiding In-Context Learning of LLMs through Quality Estimation for Machine Translation — 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
Guiding Large Language Models to Post-Edit Machine Translation with Error Annotations — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
HW-TSC 2024 Submission for the Quality Estimation Shared Task — 2024 · Proceedings of the Ninth Conference on Machine Translation
High-quality Data-to-Text Generation for Severely Under-Resourced Languages with Out-of-the-box Large Language Models — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
How Far can 100 Samples Go? Unlocking Zero-Shot Translation with Tiny Multi-Parallel Data — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages? — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
How Much Data is Enough Data? Fine-Tuning Large Language Models for In-House Translation: Performance Evaluation Across Multiple Dataset Sizes — 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
INCLURE: a Dataset and Toolkit for Inclusive French Translation — 2024 · Proceedings of the 17th Workshop on Building and Using Comparable Corpora (BUCC) @ LREC-COLING 2024
Implementing Gender-Inclusivity in MT Output using Automatic Post-Editing with LLMs — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
Improving In-context Learning of Multilingual Generative Language Models with Cross-lingual Alignment — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Improving Minimum Bayes Risk Decoding with Multi-Prompt — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Introducing the NewsPaLM MBR and QE Dataset: LLM-Generated High-Quality Parallel Data Outperforms Traditional Web-Crawled Data — 2024 · Proceedings of the Ninth Conference on Machine Translation
Introduction au numéro spécial - Robustesse et limites des modèles de traitement automatique des langues [Introduction to the special issue on robustness and limits of NLP models] — 2024
Investigating Neural Machine Translation for Low-Resource Languages: Using Bavarian as a Case Study — 2024 · Proceedings of the 3rd Annual Meeting of the Special Interest Group on Under-resourced Languages @ LREC-COLING 2024
Is Context Helpful for Chat Translation Evaluation? — 2024 · arXiv:2403.08314
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
Iterative Translation Refinement with Large Language Models — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
JaParaPat: A Large-Scale Japanese-English Parallel Patent Application Corpus — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
KpopMT: Translation Dataset with Terminology for Kpop Fandom — 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)
Kreyòl-MT: Building MT for Latin American, Caribbean and Colonial African Creole Languages — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
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)
LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations — 2024 · arXiv:2410.02707
LLaMAX: Scaling Linguistic Horizons of LLM by Enhancing Translation Capabilities Beyond 100 Languages — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
Learning Personalized Alignment for Evaluating Open-ended Text Generation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Learning from others'' mistakes: Finetuning machine translation models with span-level error annotations — 2024 · arXiv:2410.16509
Leveraging Large Language Models for NLG Evaluation: Advances and Challenges — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Linear-time Minimum Bayes Risk Decoding with Reference Aggregation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Lost in Translationese? Reducing Translation Effect Using Abstract Meaning Representation — our card · 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
M5 – A Diverse Benchmark to Assess the Performance of Large Multimodal Models Across Multilingual and Multicultural Vision-Language Tasks — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
MT-PATCHER: Selective and Extendable Knowledge Distillation from Large Language Models for Machine Translation — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
MT-Ranker: Reference-free machine translation evaluation by inter-system ranking — 2024 · arXiv:2401.17099
Machine Translation Meets Large Language Models: Evaluating ChatGPT''s Ability to Automatically Post-Edit Literary Texts — 2024 · Proceedings of the 1st Workshop on Creative-text Translation and Technology
Measuring Uncertainty in Neural Machine Translation with Similarity-Sensitive Entropy — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration — 2024 · Proceedings of the Ninth Conference on Machine Translation
MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task — 2024 · Proceedings of the Ninth Conference on Machine Translation
Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Multi-Dimensional Machine Translation Evaluation: Model Evaluation and Resource for Korean — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers — 2024 · arXiv:2404.04925
Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
NEO-BENCH: Evaluating Robustness of Large Language Models with Neologisms — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
Navigating the Metrics Maze: Reconciling Score Magnitudes and Accuracies — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Non-Exchangeable Conformal Language Generation with Nearest Neighbors — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
On Instruction-Finetuning Neural Machine Translation Models — 2024 · Proceedings of the Ninth Conference on Machine Translation
On Measuring Context Utilization in Document-Level MT Systems — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
On the True Distribution Approximation of Minimum Bayes-Risk Decoding — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)
Optimising LLM-Driven Machine Translation with Context-Aware Sliding Windows — 2024 · Proceedings of the Ninth Conference on Machine Translation
Optimizing Rare Word Accuracy in Direct Speech Translation with a Retrieval-and-Demonstration Approach — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Patentformer: A Novel Method to Automate the Generation of Patent Applications — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track
Paying More Attention to Source Context: Mitigating Unfaithful Translations from Large Language Model — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Pitfalls and Outlooks in Using COMET — 2024 · Proceedings of the Ninth Conference on Machine Translation
Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Model — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Pretraining Language Models Using Translationese — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Prompting Large Language Models for Idiomatic Translation — 2024 · Proceedings of the 1st Workshop on Creative-text Translation and Technology
Prompting Large Language Models with Human Error Markings for Self-Correcting Machine Translation — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
PyMarian: Fast Neural Machine Translation and Evaluation in Python — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Quality and Quantity of Machine Translation References for Automatic Metrics — 2024 · Proceedings of the Fourth Workshop on Human Evaluation of NLP Systems (HumEval) @ LREC-COLING 2024
Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
REFeREE: A REference-FREE Model-Based Metric for Text Simplification — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Recovering document annotations for sentence-level bitext — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
RepEval: Effective Text Evaluation with LLM Representation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Reranking Laws for Language Generation: A Communication-Theoretic Perspective — 2024 · arXiv:2409.07131
Revisiting Demonstration Selection Strategies in In-Context Learning — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
SCALE: Synergized Collaboration of Asymmetric Language Translation Engines — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Self-Modifying State Modeling for Simultaneous Machine Translation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Should Cross-Lingual AMR Parsing go Meta? An Empirical Assessment of Meta-Learning and Joint Learning AMR Parsing — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
Simplifying Translations for Children: Iterative Simplification Considering Age of Acquisition with LLMs — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Simul-MuST-C: Simultaneous Multilingual Speech Translation Corpus Using Large Language Model — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Pair — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Simultaneous Machine Translation with Large Language Models — 2024 · Proceedings of the 22nd Annual Workshop of the Australasian Language Technology Association
Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling — 2024 · arXiv:2410.11325
SpeechQE: Estimating the Quality of Direct Speech Translation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Teaching Large Language Models to Translate on Low-resource Languages with Textbook Prompting — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
The Effects of Pretraining in Video-Guided Machine Translation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs — 2024 · Proceedings of the 5th Workshop on Gender Bias in Natural Language Processing (GeBNLP)
Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

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