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Author

Kosuke Nishida

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2026

InstructSum: A Benchmark to Evaluate Instruction-Following Capability of Large Language Models in Summarization

This study introduces a novel benchmark, InstructSum, consisting of 3,309 types of instructions to evaluate the instruction-following capability in the summarization task, and reveals the challenges that LLMs face in this task.

Kosuke Nishida, Kyosuke Nishida, Itsumi Saito · 0 citations

Relative Density Ratio Optimization for Stable and Statistically Consistent Model Alignment

The proposed alignment method is statistically consistent and yields significantly tighter convergence guarantees than DDRO, and is based on the relative density ratio between the preferred data distribution and a mixture of the preferred and non-preferred data distributions.

Hiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai et al. · 0 citations

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