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Wei-Lin Chiang

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#artificial intelligence Preprint Oct 2026

Interaction-as-a-Judge

Coding agents are tasked with producing sophisticated interactive applications such as websites, desktop applications, and games. While humans assess these applications interactively, current automated LLM evaluations primarily focus on code analysis and unit tests. This mismatch can cause LLM judges to miss failures t...

Wayne Chi, I-Hung Hsu, Li Chen et al. · 0 citations
#artificial intelligence Preprint Oct 2026

Post-Training Frontier Text-to-Image Models by Composing Preference and Rubric Rewards

Recent text-to-image generation models have achieved remarkable visual quality, but improving them through post-training remains challenging because no single reward signal captures the full range of human preference. In this work, we develop a simple and effective post-training recipe for open-domain text-to-image gen...

Yuan-Hao Ban, I-Hung Hsu, A. Angelopoulos et al. · 0 citations
Jun 2026

Arena-T2I Hard: Benchmarking and Improving Faithfulness with Dependency-Aware Checklist

Faithfulness -- how precisely a generated image aligns with its prompt -- is increasingly central to the real-world utility of text-to-image (T2I) models. Existing faithfulness benchmarks, however, rely on simple atomic instructions, on which top-tier systems already achieve near-perfect scores. As T2I models enter cre...

Yuanhao Ban, Tong Xie, Sohyun An et al. · 0 citations

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