Discriminative methods were used to execute such tasks and achieved state-of-the-art performance.

We build strong baseline models upon large pretrained language models, including GPT -3 and T5. Our benchmark is an ongoing effort, and this paper presents real-time evaluation results over the past year.

Model selection is an important task in transfer learning. In this sense, a multi-task model selector is complementary to foundation models. We will prove the convergence property of the function value. Then this lemma is proved. Lemma 2. Let f be the β -smooth function.

The Goldilocks phase is reminiscent of "intelligence from starvation" in Darwinian evolution, where resource limitations drivediscoveryofmore efficient solutions.

BERT is incapable of processing long texts due to its quadratically increasing memory andtimeconsumption. Themost natural waystoaddress thisproblem, such as slicing the text by a sliding window or simplifying transformers, suffer from insufficient long-range attentions orneed customized CUDAkernels.