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Rose Yu

ICML 2026×7ACL 2026可解释性评测与基准社会与人本多模态效率与系统
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0 一作 · 8 篇 · ICML 2026 / ACL 2026

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2026 顶会论文

8
作者位次 #3/3ICML 2026Poster· Applications / Chemistry, Physics, and Earth Sciences

U-Cast: A Surprisingly Simple and Efficient Frontier Probabilistic AI Weather Forecaster

Salva Ruhling Cachay · Duncan Watson-Parris · Rose Yu

效率与系统OpenReview
作者位次 #2/2ICML 2026Poster· General Machine Learning / Representation Learning

Time Series, Vision, and Language: Exploring the Limits of Alignment in Contrastive Representation Spaces

Pratham Yashwante · Rose Yu

对齐与偏好可解释性多模态OpenReview
作者位次 #3/4ICML 2026Poster· Deep Learning / Everything Else

Demystifying Mergeability: Interpretable Properties to Predict Model Merging Success

Luca Zhou · Bo Zhao · Rose Yu · Emanuele Rodolà

可解释性OpenReview
作者位次 #7/7ACL 2026Findings· Findings of ACL

C a TS -Bench: Can Language Models Describe Time Series?

Luca Zhou · Pratham Yashwante · Marshall Fisher · Alessio Sampieri · Zihao Zhou · Fabio Galasso · Rose Yu

摘要

Time series captioning, the task of describing time series in natural language, requires numeric and temporal reasoning, trend interpretation, and contextual understanding. Existing benchmarks, however, often rely on fully synthetic or generic captions, and typically neglect metadata and visual r...

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