Search Results for author: Makoto Shing

Found 4 papers, 1 papers with code

Release of Pre-Trained Models for the Japanese Language

no code implementations2 Apr 2024 Kei Sawada, Tianyu Zhao, Makoto Shing, Kentaro Mitsui, Akio Kaga, Yukiya Hono, Toshiaki Wakatsuki, Koh Mitsuda

AI democratization aims to create a world in which the average person can utilize AI techniques.

Evolutionary Optimization of Model Merging Recipes

1 code implementation19 Mar 2024 Takuya Akiba, Makoto Shing, Yujin Tang, Qi Sun, David Ha

Surprisingly, our Japanese Math LLM achieved state-of-the-art performance on a variety of established Japanese LLM benchmarks, even surpassing models with significantly more parameters, despite not being explicitly trained for such tasks.

Evolutionary Algorithms Math

Focused Prefix Tuning for Controllable Text Generation

no code implementations1 Jun 2023 Congda Ma, Tianyu Zhao, Makoto Shing, Kei Sawada, Manabu Okumura

In a controllable text generation dataset, there exist unannotated attributes that could provide irrelevant learning signals to models that use it for training and thus degrade their performance.

Attribute Text Generation

Text-Guided Scene Sketch-to-Photo Synthesis

no code implementations14 Feb 2023 AprilPyone MaungMaung, Makoto Shing, Kentaro Mitsui, Kei Sawada, Fumio Okura

To this end, we leverage knowledge from recent large-scale pre-trained generative models, resulting in text-guided sketch-to-photo synthesis without the need for reference images.

Self-Supervised Learning

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