2 papers
cs.LG2026
ReliableTableQA:How Much Supervision Does Reliability Annotation Need?
Huei-Chung Hu, Hsin-Tai Wu, Koyo Kobayashi
We introduce ReliableTableQA, a framework for training an LLM to annotate the statistical reliability of tabular QA results, not whether the query is answerable, but whether the co…
cs.AI2025
Enhancing Japanese Large Language Models with Reasoning Vectors
Carolina Minami Oguchi, Leo Wei, Koyo Kobayashi +2
Post-training methods have improved the performance and enhanced the reasoning capability for mainstream large language models (LLMs), but the same is challenging for Japanese LLMs…