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Zihang Tian

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SCBO: Semantically Coherent Batching and Ordering for LLM-Based Social Surveys

Large Language Models (LLMs) offer a scalable way to simulate survey respondents using demographic profiles and observed reference responses. However, the conventional approach of predicting one question per prompt repeatedly encodes the same context, limits each target to a narrow set of reference responses, and preve...

Yuan-Zi Li, Ling-Jie Wang, Zi-Hang Tian et al. · 0 citations
Review Jul 2026

Analyzing and Correcting Benevolence Bias in Large Language Models

Benevolence bias is identified and measure, a small but consistent tendency for aligned LLMs to lean toward the kinder, safer, more socially approved answer on value-laden survey questions, and is easy to diagnose and straightforward to fix.

Yuanzi Li, Jun-Hao Wang, Minghui Liu et al. · 0 citations

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