Who cites «COMET: A Neural Framework for MT Evaluation» · page 12

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

sawada-2025-train-it-forget-it-merge
shahnazaryan-2025-contextual-cues-machine-translation-investigating
sharma-2022-mtlens-machine-translation-output-debugging
sharma-2025-quality-informed-segment-level-error
shen-2025-liaozhai-through-looking-glass-paratextual
shi-2025-data-augmentation-low-resource-neural
shinde-2025-patient-centric-multilingual-question-answering
signoroni-2023-muni-nlp-systems-low-resource
sigurdsson-2025-up-par-mt-systems-take
song-2025-structured-document-translation-format-reinforcement
soni-2024-romantra-optimizing-neural-machine-translation
souza-2022-quartz-quality-aware-machine-translation
staiano-2025-italert-assessing-quality-llms-nmt
staliunaite-2025-dis2dis-explaining-ambiguity-fact-checking
stap-2024-fine-tuning-paradox-boosting-translation
stap-2025-effect-language-diversity-when-fine
tamura-2023-does-masked-language-model-pre
tan-2022-doubly-trained-adversarial-data-augmentation
tan-2024-uva-mt-s-participation-wmt24
teklehaymanot-2025-movoc-morphology-aware-subword-construction — our card
tokarchuk-2025-angular-dispersion-accelerates-k-nearest
torres-2026-camps-m3kang-evaluating-multilingual-multimodal-mathematical
tri-2025-diffusion-directed-acyclic-transformer-non
trusca-2025-mimicking-how-humans-interpret-out
tsiamas-2023-speech-translation-foundation-models-optimal
uguet-2022-comparing-multilingual-nmt-models-pivoting
ulli-2025-medqwen-pe-medical-qwen-parameter
vajda-2025-improving-llms-machine-translation-synthetic
vidal-2025-translation-techniques-characterize-mt-outputs
volker-2025-salt-semeval-2025-task-2
wada-2023-jaspice-automatic-evaluation-metric-predicate
waldendorf-2025-multilingual-data-filtering-synthetic-data
wan-2025-speechiq-speech-agentic-intelligence-quotient
wang-2025-contrastscore-higher-quality-less-biased
wang-2025-marco-large-translation-model-wmt2025
wastl-2025-machine-translation-models-are-zero
widiaputri-2025-naist-offline-speech-translation-system
won-2025-end-end-multilingual-automatic-dubbing
wong-2024-humanistic-buddhism-corpus-challenging-domain
wu-2025-combining-best-both-worlds-method
wu-2025-improve-speech-translation-through-text
xia-2025-evaluating-modern-large-language-models
xiao-2025-empirical-study-iterative-refinements-non
xu-2025-self-distillation-recipe-neural-machine
xu-2025-wikidata-driven-entity-aware-translation
yan-2024-cmu-s-iwslt-2024-offline
yang-2024-language-informed-beam-search-decoding
yang-2025-rethinking-long-context-generation-continual
yang-2025-sheffieldgate-semeval-2025-task-2
yang-2025-tuning-less-prompting-more-context
yu-2025-imagination-contemplation-balanced-framework-semantic
yue-2024-translating-technical-terminology-translation-workflow
yuksel-2022-efficient-machine-translation-corpus-generation
yuksel-2023-evolvemt-ensemble-mt-engine-improving
zafar-2024-setu-adapt-submissions-wmt-2024
zafar-2024-setu-dcu-submissions-iwslt-2024
zafeiridou-2022-welocalize-arc-nkua-s-submission
zelasko-2025-training-inference-efficiency-encoder-decoder
zhang-2024-reinforcement-learning-approach-improve-low
zhang-2025-argent-automatic-reference-free-evaluation
zhang-2025-d-va-validate-your-demonstration
zhao-2024-ctc-gmm-ctc-guided-modality
zhong-2024-context-consistency-between-training-inference
zhou-2025-kg-trick-unifying-textual-relational
zhu-2023-leveraging-highly-accurate-word-alignment
zong-2022-gtcom-neural-machine-translation-systems
zong-2025-dlut-gtcom-s-large-language

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