Author

Zecheng Wang

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#artificial intelligence Review Oct 2026

UltraText Bench: A Comprehensive Bilingual Benchmark for Evaluating Visual Text Rendering in Image Generation

Dense visual text requires image generators to reproduce long strings across multiple regions with correct placement and legibility. As short-string rendering improves, evaluation must test sustained performance across more demanding scenes. We introduce UltraText Bench, a bilingual benchmark for prompt-only generation...

De-Yuan Liu, Yihao Hu, Jing-Xuan Zhang et al. · 0 citations

#natural language process... Preprint Sep 2026

AdaGEPA: Adaptive Feedback Allocation for Reflective Prompt Optimization

Prompt optimization improves the performance of language-model systems on downstream tasks by refining their prompts. Classical methods evaluate prompts on task examples and use the resulting feedback to guide prompt revisions through reflection. However, when feedback selection does not account for the prompt's weakne...

Jun-Yang Chen, Ze-Cheng Wang, Jing-Bang Chen · 0 citations

2025

VPO: Reasoning Preferences Optimization Based on V-Usable Information

This work proposes VPO, a negative gradient constraint method for human non-preference samples based on V -usable information, which can alleviate the squeezing effect of DPO, enhance alignment with the generation objective, and maintain the model’s ability to distinguish between preference and non-preference samples.

Zecheng Wang, Chunshan Li, Yupeng Zhang et al. · Neural Information Processin... · 1 citation