research
∙
08/18/2023
VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control
As the model size of pre-trained language models (PLMs) grows rapidly, f...
share
research
∙
08/09/2023
CLEVA: Chinese Language Models EVAluation Platform
With the continuous emergence of Chinese Large Language Models (LLMs), h...
research
∙
05/10/2023
Multi-Path Transformer is Better: A Case Study on Neural Machine Translation
For years the model performance in machine learning obeyed a power-law r...
research
∙
01/05/2023
SPRING: Situated Conversation Agent Pretrained with Multimodal Questions from Incremental Layout Graph
Existing multimodal conversation agents have shown impressive abilities ...
research
∙
11/03/2022
Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation
Recent advances in large-scale pre-training provide large models with th...
research
∙
04/17/2022
On Effectively Learning of Knowledge in Continual Pre-training
Pre-trained language models (PLMs) like BERT have made significant progr...
research
∙
04/06/2022
Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency
Structured pruning has been extensively studied on monolingual pre-train...
research
∙
02/14/2022
FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows
Despite recent progress in open-domain dialogue evaluation, how to devel...
research
∙
09/16/2021
The NiuTrans System for WNGT 2020 Efficiency Task
This paper describes the submissions of the NiuTrans Team to the WNGT 20...
research
∙
09/09/2021
Bag of Tricks for Optimizing Transformer Efficiency
Improving Transformer efficiency has become increasingly attractive rece...
research
∙
05/12/2021
Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders
Encoder pre-training is promising in end-to-end Speech Translation (ST),...
research
∙
01/03/2021
An Efficient Transformer Decoder with Compressed Sub-layers
The large attention-based encoder-decoder network (Transformer) has beco...
research
∙
11/30/2020
A Simple and Effective Approach to Robust Unsupervised Bilingual Dictionary Induction
Unsupervised Bilingual Dictionary Induction methods based on the initial...
research
∙
09/19/2020
Weight Distillation: Transferring the Knowledge in Neural Network Parameters
Knowledge distillation has been proven to be effective in model accelera...
research
∙
09/17/2020
Towards Fully 8-bit Integer Inference for the Transformer Model
8-bit integer inference, as a promising direction in reducing both the l...
research
∙
02/16/2020
Multi-layer Representation Fusion for Neural Machine Translation
Neural machine translation systems require a number of stacked layers fo...
research
∙
02/16/2020
