Overfitting Mitigation via Singular Value Decomposition in Minimum Bayes Risk Decoding

arXiv:2609.01135 · cs.CL · Submitted 2026-09-01 · Read on arXiv

cs.CL

Submitted: 2026-09-01

Updated: 2026-09-01

Code: https://github.com/naist-nlp/mbr-svd

Terminology

• Reconstruction Error — 14× in this paper · explained in 2 episodes
• Minimum Bayes Risk — 13× in this paper
• Singular Value Decomposition — 6× in this paper
• Generalizability — 5× in this paper · explained in 6 episodes
• Empirical Methods in Natural Language Processing — 4× in this paper
• Regularization — 4× in this paper · explained in 3 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Singular Value Decomposition (SVD) — 2× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Hallucination — 1× in this paper · explained in 4 episodes
• Loyalist Community Council — 1× in this paper
• Matrix Completion — 1× in this paper · explained in 4 episodes
• Monte Carlo — 1× in this paper
• Scaling Laws — 1× in this paper · explained in 4 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes

Sources

• Beyond English-Centric Multilingual Machine Translation
• Model-Based Minimum Bayes Risk Decoding for Text Generation

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