distribution collapse 1instruction tuning 1language model sampling 1prompt engineering 1survey simulation 1
From the 1 of 8 linked papers with an AI index.
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cs.AI2026
Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe
Chaemin Jang, Dongman Lee, Jihee Kim
The paper demonstrates that instruction-tuned language models collapse to a single answer when asked to sample from a persona's response distribution, even though they can accurate…
cs.AI2026
Ideological Bias in LLMs' Economic Causal Reasoning
Donggyu Lee, Hyeok Yun, Jungwon Kim +4
Do large language models (LLMs) exhibit systematic ideological bias when reasoning about economic causal effects? As LLMs are increasingly used in policy analysis and economic repo…