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Kaitlyn Zhou

ACL 2026×2推理社会与人本对齐与偏好评测与基准安全
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63
一作贡献30
核心/参与5
方向广度10
合作网络9
1 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
一作ACL 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
作者位次 #4/5ACL 2026Findings· Findings of ACL

R eason IF : Large Reasoning Models Fail to Follow Instructions During Reasoning

Yongchan Kwon · Shang Zhu · Federico Bianchi · Kaitlyn Zhou · James Zou

摘要

The ability of large language models (LLMs) to follow user instructions is central to their reliability, safety, and usefulness. While prior studies assess instruction adherence in the model’s main responses, we argue that it is also critical for large reasoning models (LRMs) to follow user instr...

评测与基准安全推理OpenReview 项目页

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