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05/02/2023
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models
The prompt-based learning paradigm, which bridges the gap between pre-tr...
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02/27/2023
Towards Interpretable Federated Learning
Federated learning (FL) enables multiple data owners to build machine le...
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11/05/2022
Textual Manifold-based Defense Against Natural Language Adversarial Examples
Recent studies on adversarial images have shown that they tend to leave ...
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12/22/2021
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
The fine-tuning of pre-trained language models has a great success in ma...
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12/07/2021
Improving Neural Cross-Lingual Summarization via Employing Optimal Transport Distance for Knowledge Distillation
Current state-of-the-art cross-lingual summarization models employ multi...
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10/22/2019
Capturing Greater Context for Question Generation
Automatic question generation can benefit many applications ranging from...
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06/11/2019
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks
Many state-of-the-art neural models for NLP are heavily parameterized an...
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05/26/2019
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives
This paper tackles the problem of reading comprehension over long narrat...
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11/24/2018
Recurrently Controlled Recurrent Networks
Recurrent neural networks (RNNs) such as long short-term memory and gate...
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11/10/2018
Densely Connected Attention Propagation for Reading Comprehension
We propose DecaProp (Densely Connected Attention Propagation), a new den...
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10/06/2018
Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences
Learning a matching function between two text sequences is a long standi...
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06/17/2018
Self-Attentive Neural Collaborative Filtering
The dominant, state-of-the-art collaborative filtering (CF) methods toda...
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06/03/2018
Multi-Cast Attention Networks for Retrieval-based Question Answering and Response Prediction
Attention is typically used to select informative sub-phrases that are u...
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05/08/2018
Reasoning with Sarcasm by Reading In-between
Sarcasm is a sophisticated speech act which commonly manifests on social...
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03/24/2018
Multi-range Reasoning for Machine Comprehension
We propose MRU (Multi-Range Reasoning Units), a new fast compositional e...
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01/28/2018
Multi-Pointer Co-Attention Networks for Recommendation
Many recent state-of-the-art recommender systems such as D-ATT, TransNet...
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12/30/2017
A Compare-Propagate Architecture with Alignment Factorization for Natural Language Inference
This paper presents a new deep learning architecture for Natural Languag...
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11/21/2017
Cross Temporal Recurrent Networks for Ranking Question Answer Pairs
Temporal gates play a significant role in modern recurrent-based neural ...
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11/14/2017
SkipFlow: Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring
Deep learning has demonstrated tremendous potential for Automatic Text S...
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08/16/2017
Multi-task Neural Network for Non-discrete Attribute Prediction in Knowledge Graphs
Many popular knowledge graphs such as Freebase, YAGO or DBPedia maintain...
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07/25/2017
Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering
The dominant neural architectures in question answer retrieval are based...
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06/17/2017