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Kristina Gligorić

ACL 2026×2社会与人本强化学习与后训练推理对齐与偏好
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0 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #5/5ACL 2026Poster· Natural Language Processing

Valid Survey Simulations with Limited Human Data: The Roles of Prompting, Fine-Tuning, and Rectification

Stefan Krsteski · Giuseppe Russo · Serina Chang · Robert West · Kristina Gligorić

摘要

Surveys provide valuable insights into public opinion and behavior, but their execution is costly and slow. Large language models (LLMs) have been proposed as a scalable, low-cost substitute for human respondents, but their outputs are often biased and yield invalid estimates. We study the interp...

社会与人本强化学习与后训练OpenReview 项目页
作者位次 #2/10ACL 2026Findings· Findings of ACL

Attention to Non-Adopters

Kaitlyn Zhou · Kristina Gligorić · Myra Cheng · Michelle S. Lam · Vyoma Raman · Boluwatife Aminu · Caeley Woo · Michael Brockman · Hannah Cha · Dan Jurafsky

摘要

Although language model–based chat systems are increasingly used in daily life, most Americans remain non-adopters of chat-based LLMs — as of June 2025, 66% had never used ChatGPT. At the same time, LLM development and evaluation rely mainly on data from adopters (e.g., logs, preference data), fo...

社会与人本推理对齐与偏好OpenReview 项目页

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