Author

Zhichao Wang

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#artificial intelligence Preprint Aug 2026

SEPO: Evidence-Grounded Prompt Optimization via Structural Editing

This paper introduces SEPO (Structural, Evidence-grounded Prompt Optimization), a multi-trajectory prompt optimiser centred on edit-effect lineage feedback that makes prompt optimisation addressable, attributable, and actionable.

Xiaoyu Ma, Haoyue Liu, Yiwen Li et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Which Negatives Matter? Ask Your Text Encoder: Adaptive Similarity Margins for Dense-Caption Retrieval

HN-CLIP is introduced, which uses the text encoder's own text-text geometry to construct per-negative adaptive similarity margins, and improves all six tested fine-tuning frameworks on the in-domain benchmarks and reaches the strongest full-data baseline with only 20% of the training data.

Haoyue Liu, Yeheng Chen, Zhichao Wang et al. · 0 citations