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05/18/2022
Debiasing Neural Retrieval via In-batch Balancing Regularization
People frequently interact with information retrieval (IR) systems, howe...
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05/18/2022
Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner
Large language models have achieved high performance on various question...
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03/21/2022
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization
Large-scale pre-trained sequence-to-sequence models like BART and T5 ach...
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10/16/2021
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora
Pretrained language models (PTLMs) are typically learned over a large, s...
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10/16/2021
Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey
Pretrained Language Models (PLM) have established a new paradigm through...
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03/24/2021
Supporting Clustering with Contrastive Learning
Unsupervised clustering aims at discovering the semantic categories of d...
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12/27/2020
