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06/19/2023
DFlow: Efficient Dataflow-based Invocation Workflow Execution for Function-as-a-Service
The Serverless Computing is becoming increasingly popular due to its eas...
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05/27/2023
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs
Graph neural networks (GNNs) are powerful tools for exploring and learni...
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04/13/2023
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study
Large decoder-only language models (LMs) can be largely improved in term...
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02/09/2023
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning
Augmenting pretrained language models (LMs) with a vision encoder (e.g.,...
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12/03/2022
RHO (ρ): Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding
Dialogue systems can leverage large pre-trained language models and know...
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11/07/2022
Cross-Domain Local Characteristic Enhanced Deepfake Video Detection
As ultra-realistic face forgery techniques emerge, deepfake detection ha...
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10/14/2022
Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training
Large-scale vision-language pre-trained (VLP) models are prone to halluc...
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08/30/2022
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization
Quantization is a technique to reduce the computation and memory cost of...
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08/19/2022
Effective Transfer Learning for Low-Resource Natural Language Understanding
Natural language understanding (NLU) is the task of semantic decoding of...
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08/18/2022
Exploiting Sentiment and Common Sense for Zero-shot Stance Detection
The stance detection task aims to classify the stance toward given docum...
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08/18/2022
Mere Contrastive Learning for Cross-Domain Sentiment Analysis
Cross-domain sentiment analysis aims to predict the sentiment of texts i...
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06/28/2022
Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting
Recent studies have shown great promise in applying graph neural network...
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04/14/2022
SNP2Vec: Scalable Self-Supervised Pre-Training for Genome-Wide Association Study
Self-supervised pre-training methods have brought remarkable breakthroug...
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03/16/2022
Multi-Stage Prompting for Knowledgeable Dialogue Generation
Existing knowledge-grounded dialogue systems typically use finetuned ver...
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01/17/2022
VELTAIR: Towards High-Performance Multi-tenant Deep Learning Services via Adaptive Compilation and Scheduling
Deep learning (DL) models have achieved great success in many applicatio...
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12/12/2021
ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in Multi-turn Conversation
Code-switching is a speech phenomenon when a speaker switches language d...
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12/01/2021
NER-BERT: A Pre-trained Model for Low-Resource Entity Tagging
Named entity recognition (NER) models generally perform poorly when larg...
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09/07/2021
Powering Comparative Classification with Sentiment Analysis via Domain Adaptive Knowledge Transfer
We study Comparative Preference Classification (CPC) which aims at predi...
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09/06/2021
Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive Summarization
Multimodal abstractive summarization (MAS) models that summarize videos ...
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06/07/2021
X2Parser: Cross-Lingual and Cross-Domain Framework for Task-Oriented Compositional Semantic Parsing
Task-oriented compositional semantic parsing (TCSP) handles complex nest...
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06/07/2021
CAiRE in DialDoc21: Data Augmentation for Information-Seeking Dialogue System
Information-seeking dialogue systems, including knowledge identification...
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05/13/2021
Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters
To diversify and enrich generated dialogue responses, knowledge-grounded...
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05/09/2021
Continual Mixed-Language Pre-Training for Extremely Low-Resource Neural Machine Translation
The data scarcity in low-resource languages has become a bottleneck to b...
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03/24/2021
Are Multilingual Models Effective in Code-Switching?
Multilingual language models have shown decent performance in multilingu...
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03/21/2021
AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization
State-of-the-art abstractive summarization models generally rely on exte...
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03/17/2021
Multimodal End-to-End Sparse Model for Emotion Recognition
Existing works on multimodal affective computing tasks, such as emotion ...
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12/08/2020
CrossNER: Evaluating Cross-Domain Named Entity Recognition
Cross-domain named entity recognition (NER) models are able to cope with...
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11/11/2020
DLFusion: An Auto-Tuning Compiler for Layer Fusion on Deep Neural Network Accelerator
Many hardware vendors have introduced specialized deep neural networks (...
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09/30/2020
Cross-lingual Spoken Language Understanding with Regularized Representation Alignment
Despite the promising results of current cross-lingual models for spoken...
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09/28/2020
Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems
Task-oriented dialogue systems are either modularized with separate dial...
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09/21/2020
Modality-Transferable Emotion Embeddings for Low-Resource Multimodal Emotion Recognition
Despite the recent achievements made in the multi-modal emotion recognit...
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08/21/2020
EmoGraph: Capturing Emotion Correlations using Graph Networks
Most emotion recognition methods tackle the emotion understanding task b...
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08/14/2020
Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems
Task-oriented dialogue systems use four connected modules, namely, Natur...
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04/29/2020
Meta-Transfer Learning for Code-Switched Speech Recognition
An increasing number of people in the world today speak a mixed-language...
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04/29/2020
Exploring Fine-tuning Techniques for Pre-trained Cross-lingual Models via Continual Learning
Recently, fine-tuning pre-trained cross-lingual models (e.g., multilingu...
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04/28/2020
Kungfupanda at SemEval-2020 Task 12: BERT-Based Multi-Task Learning for Offensive Language Detection
Nowadays, offensive content in social media has become a serious problem...
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04/24/2020
Coach: A Coarse-to-Fine Approach for Cross-domain Slot Filling
As an essential task in task-oriented dialog systems, slot filling requi...
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03/28/2020
Variational Transformers for Diverse Response Generation
Despite the great promise of Transformers in many sequence modeling task...
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03/17/2020
XPersona: Evaluating Multilingual Personalized Chatbot
Personalized dialogue systems are an essential step toward better human-...
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03/04/2020
Learning Fast Adaptation on Cross-Accented Speech Recognition
Local dialects influence people to pronounce words of the same language ...
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02/14/2020
Zero-Resource Cross-Domain Named Entity Recognition
Existing models for cross-domain named entity recognition (NER) rely on ...
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01/30/2020
Do We Need Word Order Information for Cross-lingual Sequence Labeling
Most of the recent work in cross-lingual adaptation does not consider th...
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12/03/2019
Universal Adversarial Perturbations for CNN Classifiers in EEG-Based BCIs
Multiple convolutional neural network (CNN) classifiers have been propos...
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11/21/2019
Attention-Informed Mixed-Language Training for Zero-shot Cross-lingual Task-oriented Dialogue Systems
Recently, data-driven task-oriented dialogue systems have achieved promi...
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11/11/2019
Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables
Despite the surging demands for multilingual task-oriented dialog system...
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10/30/2019
Lightweight and Efficient End-to-End Speech Recognition Using Low-Rank Transformer
High performing deep neural networks come at the cost of computational c...
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09/18/2019
Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition
In countries that speak multiple main languages, mixing up different lan...
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08/22/2019
Multi-Task Deep Learning with Dynamic Programming for Embryo Early Development Stage Classification from Time-Lapse Videos
Time-lapse is a technology used to record the development of embryos dur...
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08/16/2019
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring
This paper describes CAiRE's submission to the unsupervised machine tran...
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07/28/2019