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Kaiqu Liang

ACL 2026ICML 2026评测与基准多模态对齐与偏好强化学习与后训练
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1 一作 · 2 篇 · ACL 2026 / ICML 2026

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2026 顶会论文

2
作者位次 #27/33ICML 2026Poster· General Machine Learning / Evaluation

ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models

Jonathan Roberts · Mohammad Reza Taesiri · Ansh Sharma · Akash Gupta · Samuel Roberts · Ioana Croitoru · Vlad Bogolin · Jialu Tang · Florian Langer · Vyas Raina · Vatsal Raina · Hanyi Xiong · Vishaal Udandarao · Jingyi Lu · Chen Shiyang · Sam Purkis · Tianshuo Yan · Wenye Lin · Gyungin Shin · Qiaochu Yang · Anh Nguyen · David Atkinson · Alexandru Coca · Mikah Đặng · Sebastian Dziadzio · Jakob D. Kunz · Kaiqu Liang · Alexander Lo · Brian Pulfer · Steven Walton · Charig Yang · Kai Han · Samuel Albanie

多模态评测与基准OpenReview
一作ACL 2026Findings· Findings of ACL

RLHS : Mitigating Misalignment in RLHF with Hindsight Simulation

Kaiqu Liang · Haimin Hu · Ryan Liu · Thomas L. Griffiths · Jaime Fernández Fisac

摘要

While Reinforcement Learning from Human Feedback (RLHF) has shown promise in aligning generative AI, we present empirical evidence that it can also cause severe, systematic misalignment. We hypothesize that this stems from evaluator feedback depending on downstream outcome predictions (foresight)...

对齐与偏好强化学习与后训练评测与基准OpenReview 项目页

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