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cs.CL2024
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models
Kang He, Yinghan Long, Kaushik Roy
Prompt-based learning is susceptible to intrinsic bias present in pre-trained language models (LMs), leading to sub-optimal performance in prompt-based zero/few-shot settings. In t…
cs.CL2023
Segmented Recurrent Transformer: An Efficient Sequence-to-Sequence Model
Yinghan Long, Sayeed Shafayet Chowdhury, Kaushik Roy
Transformers have shown dominant performance across a range of domains including language and vision. However, their computational cost grows quadratically with the sequence length…