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.CL2024
STAYKATE: Hybrid In-Context Example Selection Combining Representativeness Sampling and Retrieval-based Approach -- A Case Study on Science Domains
Chencheng Zhu, Kazutaka Shimada, Tomoki Taniguchi +1
Large language models (LLMs) demonstrate the ability to learn in-context, offering a potential solution for scientific information extraction, which often contends with challenges…