23 citations · 46 across the 12 of their papers we have counts for
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cs.CL2022★ 3 cited
Data Curation Alone Can Stabilize In-context Learning
Ting-Yun Chang, Robin Jia
In-context learning (ICL) enables large language models (LLMs) to perform new tasks by prompting them with a sequence of training examples. However, it is known that ICL is very se…
cs.CL2022★ 23 cited
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks
Tejas Srinivasan, Ting-Yun Chang, Leticia Leonor Pinto Alva +3
Current state-of-the-art vision-and-language models are evaluated on tasks either individually or in a multi-task setting, overlooking the challenges of continually learning (CL) t…