most citedLarge Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning

32 citations · 36 across the 2 of their papers we have counts for

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2 papers

cs.CL2023★ 32 cited

Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning

Ruixiang Tang, Dehan Kong, Longtao Huang +1

Large language models (LLMs) have recently shown great potential for in-context learning, where LLMs learn a new task simply by conditioning on a few input-label pairs (prompts). D…

cs.CV2022★ 4 cited

RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on

Chao Lin, Zhao Li, Sheng Zhou +6

Virtual try-on(VTON) aims at fitting target clothes to reference person images, which is widely adopted in e-commerce.Existing VTON approaches can be narrowly categorized into Pars…