← Search

Xulu Zhang

2 accepted papers

2025

Benchmarking for Domain-Specific LLMs: A Case Study on Academia and Beyond

EMNLP 2025

The increasing demand for domain-specific evaluation of large language models (LLMs) has led to the development of numerous benchmarks. These efforts often adhere to the principle of data scaling, relying on large corpora or extensive question-answer (QA) sets to ensure broad coverage. However, the

2024

Compositional Inversion for Stable Diffusion Models

AAAI 2024technical

Inversion methods, such as Textual Inversion, generate personalized images by incorporating concepts of interest provided by user images. However, existing methods often suffer from overfitting issues, where the dominant presence of inverted concepts leads to the absence of other desired concepts. I…