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Roy Schwartz

ACL 2026×2可解释性多模态对齐与偏好数据与预训练效率与系统
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0 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #5/5ACL 2026Poster· Natural Language Processing

Follow the Flow: On Information Flow Across Textual Tokens in Text-to-Image Models

Guy Kaplan · Michael Toker · Yuval Reif · Yonatan Belinkov · Roy Schwartz

摘要

Text-to-image generation models suffer from alignment problems, where generated images fail to accurately capture the objects and relations in the text prompt. Prior work has focused on improving alignment by refining the diffusion process, ignoring the role of the text encoder, which guides the...

可解释性多模态对齐与偏好OpenReview 项目页
作者位次 #3/3ACL 2026Findings· Findings of ACL

Vocab Diet: Reshaping the Vocabulary of LLM s via Vector Arithmetic

Yuval Reif · Guy Kaplan · Roy Schwartz

摘要

Large language models (LLMs) often encode word-form variation (e.g., walk vs. walk ed ) as linear directions in the embedding space. However, standard tokenization algorithms treat such variants as distinct words with different vocabulary entries—quickly filling the size-capped token vocabulary w...

数据与预训练可解释性效率与系统OpenReview 项目页

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