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08/09/2023
Extrapolating Large Language Models to Non-English by Aligning Languages
Due to the unbalanced training data distribution, the language ability o...
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08/02/2023
Beyond Generic: Enhancing Image Captioning with Real-World Knowledge using Vision-Language Pre-Training Model
Current captioning approaches tend to generate correct but "generic" des...
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06/21/2023
SIFTER: A Task-specific Alignment Strategy for Enhancing Sentence Embeddings
The paradigm of pre-training followed by fine-tuning on downstream tasks...
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06/10/2023
INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation
Neural machine translation has achieved promising results on many transl...
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04/10/2023
Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis
Large language models (LLMs) have demonstrated remarkable potential in h...
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02/27/2023
kNN-BOX: A Unified Framework for Nearest Neighbor Generation
Augmenting the base neural model with a token-level symbolic datastore i...
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12/20/2022
Lego-MT: Towards Detachable Models in Massively Multilingual Machine Translation
Traditional multilingual neural machine translation (MNMT) uses a single...
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11/08/2022
What Knowledge Is Needed? Towards Explainable Memory for kNN-MT Domain Adaptation
kNN-MT presents a new paradigm for domain adaptation by building an exte...
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12/26/2021
Stepping Back to SMILES Transformers for Fast Molecular Representation Inference
In the intersection of molecular science and deep learning, tasks like v...
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12/31/2020
FDMT: A Benchmark Dataset for Fine-grained Domain Adaptation in Machine Translation
Previous domain adaptation research usually neglect the diversity in tra...
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11/16/2020
