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09/15/2023
Reward Engineering for Generating Semi-structured Explanation
Semi-structured explanation depicts the implicit process of a reasoner w...
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09/13/2023
Simultaneous Machine Translation with Large Language Models
Large language models (LLM) have demonstrated their abilities to solve v...
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05/28/2023
Investigating Pre-trained Audio Encoders in the Low-Resource Condition
Pre-trained speech encoders have been central to pushing state-of-the-ar...
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05/21/2023
PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs
Large language models (LLMs) have shown great abilities of solving vario...
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05/06/2023
A Minimal Approach for Natural Language Action Space in Text-based Games
Text-based games (TGs) are language-based interactive environments for r...
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03/26/2023
Koala: An Index for Quantifying Overlaps with Pre-training Corpora
In very recent years more attention has been placed on probing the role ...
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12/09/2022
Plug-and-Play Recipe Generation with Content Planning
Recent pre-trained language models have shown promising capabilities in ...
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10/24/2022
Self-supervised Rewiring of Pre-trained Speech Encoders: Towards Faster Fine-tuning with Less Labels in Speech Processing
Pre-trained speech Transformers have facilitated great success across va...
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10/19/2022
Self-supervised Graph Masking Pre-training for Graph-to-Text Generation
Large-scale pre-trained language models (PLMs) have advanced Graph-to-Te...
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10/16/2022
RedApt: An Adaptor for wav2vec 2 Encoding Faster and Smaller Speech Translation without Quality Compromise
Pre-trained speech Transformers in speech translation (ST) have facilita...
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10/15/2022
Generating Synthetic Speech from SpokenVocab for Speech Translation
Training end-to-end speech translation (ST) systems requires sufficientl...
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07/03/2022
M-Adapter: Modality Adaptation for End-to-End Speech-to-Text Translation
End-to-end speech-to-text translation models are often initialized with ...
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10/14/2021
The Neglected Sibling: Isotropic Gaussian Posterior for VAE
Deep generative models have been widely used in several areas of NLP, an...
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10/11/2021
It is Not as Good as You Think! Evaluating Simultaneous Machine Translation on Interpretation Data
Most existing simultaneous machine translation (SiMT) systems are traine...
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09/10/2021
Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT
Infusing factual knowledge into pre-trained models is fundamental for ma...
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06/07/2021
Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets
To highlight the challenges of achieving representation disentanglement ...
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01/26/2021
Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification
Semi-supervised learning through deep generative models and multi-lingua...
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12/31/2020
A Closer Look at Few-Shot Crosslingual Transfer: Variance, Benchmarks and Baselines
We present a focused study of few-shot crosslingual transfer, a recently...
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10/22/2020
Self-alignment Pre-training for Biomedical Entity Representations
Despite the widespread success of self-supervised learning via masked la...
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10/07/2020
COMETA: A Corpus for Medical Entity Linking in the Social Media
Whilst there has been growing progress in Entity Linking (EL) for genera...
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09/25/2020
Hierarchical Sparse Variational Autoencoder for Text Encoding
In this paper we focus on unsupervised representation learning and propo...
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09/30/2019
On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation
Variational Autoencoders (VAEs) are known to suffer from learning uninfo...
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08/16/2016
Fast, Small and Exact: Infinite-order Language Modelling with Compressed Suffix Trees
Efficient methods for storing and querying are critical for scaling high...
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03/09/2015
