3 papers
cs.LG2026
Generalizing Numerical Reasoning in Table Data through Operation Sketches and Self-Supervised Learning
Hanjun Cho, Gahyun Yoo, Hanseong Kim +1
Numerical reasoning over expert-domain tables often exhibits high in-domain accuracy but limited robustness to domain shift. Models trained with supervised fine-tuning (SFT) on spe…
cs.CL2025
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…
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…