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05/28/2023
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks
Large Language Models (LLMs) have shown promising performance in knowled...
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05/26/2023
DiffusionNAG: Task-guided Neural Architecture Generation with Diffusion Models
Neural Architecture Search (NAS) has emerged as a powerful technique for...
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10/12/2022
On Divergence Measures for Bayesian Pseudocoresets
A Bayesian pseudocoreset is a small synthetic dataset for which the post...
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05/20/2022
Set-based Meta-Interpolation for Few-Task Meta-Learning
Meta-learning approaches enable machine learning systems to adapt to new...
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10/06/2021
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning
Multilingual models jointly pretrained on multiple languages have achiev...
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05/06/2021
Learning to Perturb Word Embeddings for Out-of-distribution QA
QA models based on pretrained language mod-els have achieved remarkable ...
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03/11/2021
Self-supervised Text-to-SQL Learning with Header Alignment Training
Since we can leverage a large amount of unlabeled data without any human...
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12/14/2020
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation
Recently, sequence-to-sequence (seq2seq) models with the Transformer arc...
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05/28/2020
Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs
One of the most crucial challenges in questionanswering (QA) is the scar...
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04/07/2020
g2pM: A Neural Grapheme-to-Phoneme Conversion Package for MandarinChinese Based on a New Open Benchmark Dataset
Conversion of Chinese graphemes to phonemes (G2P) is an essential compon...
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10/21/2019