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Rajiv Khanna

ICLR 2026×2AAAI 2026ACL 2026社会与人本安全可解释性对齐与偏好
新星分资深
27
一作贡献0
核心/参与10
方向广度14
合作网络9
0 一作 · 4 篇 · ICLR 2026 / AAAI 2026 / ACL 2026

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2026 顶会论文

4
作者位次 #2/2ICLR 2026Poster· Social Aspects / Trustworthy Machine Learning

Sharpness-Aware Machine Unlearning

Haoran Tang · Rajiv Khanna

安全社会与人本OpenReview
作者位次 #5/6ACL 2026Findings· Findings of ACL

From Fallback to Frontline: When Can LLM s be Superior Annotators of Human Perspectives?

Hasan Amin · Harry Yizhou Tian · Xiaoni Duan · Chien-Ju Ho · Rajiv Khanna · Ming Yin

摘要

Although large language models (LLMs) are increasingly used as annotators at scale, they are typically treated as a pragmatic fallback rather than a faithful estimator of human perspectives. This work challenges that presumption. By framing perspective-taking as the estimation of a latent group-l...

社会与人本可解释性OpenReview 项目页
作者位次 #3/3AAAI 2026Poster· Artificial Intelligence

Align When They Want, Complement When They Need! Human-Centered Ensembles for Adaptive Human-AI Collaboration

Syed Hasan Amin Mahmood · Ming Yin · Rajiv Khanna

对齐与偏好社会与人本OpenReview

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