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cs.CL2024
QE-EBM: Using Quality Estimators as Energy Loss for Machine Translation
Gahyun Yoo, Jay Yoon Lee
Reinforcement learning has shown great promise in aligning language models with human preferences in a variety of text generation tasks, including machine translation. For translat…
cs.CL2024
BridG MT: Enhancing LLMs' Machine Translation Capabilities with Sentence Bridging and Gradual MT
Seung-Woo Choi, Ga-Hyun Yoo, Jay-Yoon Lee
Recent Large Language Models (LLMs) have demonstrated impressive translation performance without requiring fine-tuning on additional parallel corpora. However, they still face sign…