Emulate or estimate? The divergent strengths of base and post-trained language models for opinion simulation
Read the original at arxiv.org→arXiv:2608.03044v1 Announce Type: new Abstract: Large language models are increasingly used to simulate human opinions, but prior work reports conflicting results: some studies find promising alignment with human...
Original headline: "Emulate or Estimate? The Divergent Strengths of Base and Post-Trained Language Models for Opinion Simulation"
Coverage timeline
- Aug 5, 04:00 UTC arXiv cs.CL lead source Emulate or Estimate? The Divergent Strengths of Base and Post-Trained Language Models for Opinion Simulation