Jaemin Cho

ACL 2026ICLR 2026强化学习与后训练评测与基准推理对齐与偏好

OROpenReview

新星分贡献者

一作贡献0

核心/参与10

方向广度11

合作网络6

0 一作 · 2 篇 · ACL 2026 / ICLR 2026

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2026 顶会论文

作者位次 #4/5ICLR 2026Poster· Reinforcement Learning / Everything Else

One Life to Learn: Inferring Symbolic World Models for Stochastic Environments from Unguided Exploration

Zaid Khan · Archiki Prasad · Elias Stengel-Eskin · Jaemin Cho · Mohit Bansal

强化学习与后训练OpenReview

作者位次 #3/4ACL 2026Findings· Findings of ACL

Self-Correcting Text-to-Video Generation with Misalignment Detection and Localized Refinement

Daeun Lee · Jaehong Yoon · Jaemin Cho · Mohit Bansal

摘要

Recent text-to-video (T2V) diffusion models have made remarkable progress in generating high-quality videos. However, they often struggle to align with complex text prompts, particularly when multiple objects, attributes, or spatial relations are specified. We introduce VideoRepair, the first sel...

评测与基准推理对齐与偏好OpenReview 项目页

常见合作者

ZKZaid Khan APArchiki Prasad ESElias Stengel-Eskin MBMohit Bansal DLDaeun Lee JYJaehong Yoon MBMohit Bansal