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cs.CL2024
Efficient and Accurate Prompt Optimization: the Benefit of Memory in Exemplar-Guided Reflection
Cilin Yan, Jingyun Wang, Lin Zhang +6
Automatic prompt engineering aims to enhance the generation quality of large language models (LLMs). Recent works utilize feedbacks generated from erroneous cases to guide the prom…
cs.CV2024★ 5 cited
ReCLIP++: Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation
Jingyun Wang, Guoliang Kang
Recent works utilize CLIP to perform the challenging unsupervised semantic segmentation task where only images without annotations are available. However, we observe that when adop…