2 papers
cs.CL2026
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…
cs.CL2023
Training Generative Question-Answering on Synthetic Data Obtained from an Instruct-tuned Model
Kosuke Takahashi, Takahiro Omi, Kosuke Arima +1
This paper presents a simple and cost-effective method for synthesizing data to train question-answering systems. For training, fine-tuning GPT models is a common practice in resou…