4 papers
Aggregate vs. Personalized Judges in Business Idea Evaluation: Evidence from Expert Disagreement
Wataru Hirota, Tomoki Taniguchi, Tomoko Ohkuma +6
Evaluating LLM-generated business ideas is often harder to scale than generating them. Unlike standard NLP benchmarks, business idea evaluation relies on multi-dimensional criteria…
Exploring Design of Multi-Agent LLM Dialogues for Research Ideation
Keisuke Ueda, Wataru Hirota, Takuto Asakura +4
Large language models (LLMs) are increasingly used to support creative tasks such as research idea generation. While recent work has shown that structured dialogues between LLMs ca…
Enhancing Large Vision-Language Models with Layout Modality for Table Question Answering on Japanese Annual Securities Reports
Hayato Aida, Kosuke Takahashi, Takahiro Omi
With recent advancements in Large Language Models (LLMs) and growing interest in retrieval-augmented generation (RAG), the ability to understand table structures has become increas…
Pretraining and Updates of Domain-Specific LLM: A Case Study in the Japanese Business Domain
Kosuke Takahashi, Takahiro Omi, Kosuke Arima +1
The development of Large Language Models (LLMs) in various languages has been advancing, but the combination of non-English languages with domain-specific contexts remains underexp…