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cs.CL2026
Evaluating the Effectiveness of Persona Simulation in Opinion Prediction with GPT-4.1
Sarah Y. Li, Ziyu Yao
Persona simulation involves utilizing large language models (LLMs) to anticipate human choices or interactions based on specific characteristic information. To further understand c…
cs.CL2025★ 2 cited
Understand User Opinions of Large Language Models via LLM-Powered In-the-Moment User Experience Interviews
Mengqiao Liu, Tevin Wang, Cassandra A. Cohen +2
Which large language model (LLM) is better? Every evaluation tells a story, but what do users really think about current LLMs? This paper presents CLUE, an LLM-powered interviewer…
cs.CL2024
Seed-Free Synthetic Data Generation Framework for Instruction-Tuning LLMs: A Case Study in Thai
Parinthapat Pengpun, Can Udomcharoenchaikit, Weerayut Buaphet +1
We present a synthetic data approach for instruction-tuning large language models (LLMs) for low-resource languages in a data-efficient manner, specifically focusing on Thai. We id…