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Robert West

ICLR 2026×3ACL 2026×2社会与人本推理强化学习与后训练可解释性检索与知识
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0 一作 · 5 篇 · ICLR 2026 / ACL 2026

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2026 顶会论文

5
作者位次 #4/5ACL 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 #5/8ACL 2026Findings· Findings of ACL

Localized Cultural Knowledge is Conserved and Controllable in Large Language Models

Veniamin Veselovsky · Berke Argın · Benedikt Stroebl · Chris Wendler · Robert West · James Evans · Thomas L. Griffiths · Arvind Narayanan

摘要

Large language models (LLMs), like human language learners, show patterns influenced by their dominant training language. Just as humans display language patterns influenced by their native tongue (semantic accents) when learning new languages, LLMs often default to English-centric responses even...

可解释性社会与人本评测与基准OpenReview 项目页

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