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Qi Zeng

ACL 2026×2多模态对齐与偏好理论与学习动力学可解释性
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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 #2/8ACL 2026Poster· Natural Language Processing

For-Value: Efficient Forward-Only Data Valuation for finetuning LLM s and VLM s

Wenlong Deng · Qi Zeng · Jiaming Zhang · Minghui Chen · Zixin Ding · Christos Thrampoulidis · Boying Gong · Xiaoxiao Li

摘要

Data valuation is essential for enhancing the transparency and accountability of large language models (LLMs) and vision-language models (VLMs). However, existing methods typically rely on gradient computations, making them computationally prohibitive for billion-parameter models and precluding b...

多模态理论与学习动力学对齐与偏好OpenReview 项目页
作者位次 #2/6ACL 2026Poster· ACL Industry Track

Automatic Prompt Engineering for Scalable Prompt Inversion in Text-to-Image Ad Generation

Zixin Ding · Qi Zeng · Boying Gong · Wenlong Deng · Bo Pan · Yuxin Chen

摘要

While prompt engineering offers effective control over Text-to-Image (T2I) generation, it remains labor-intensive for large-scale production. We present PRISM-DUEL, a black-box framework that formalizes prompt optimization as Automatic Prompt Engineering (APE), motivated by advertising workflows...

可解释性多模态对齐与偏好OpenReview 项目页

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