Luu Anh Tuan · PaperMetrix

Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives

2019 · arXiv (Cornell University)

This paper tackles the problem of reading comprehension over long narratives where documents easily span over thousands of tokens. We propose a curriculum learning (CL) based Pointer-Generator framework for reading/sampling over large documents, enabling diverse …

Multi-Task Neural Network for Non-discrete Attribute Prediction in Knowledge Graphs

2017

Many popular knowledge graphs such as Freebase, YAGO or DBPedia maintain a list of non-discrete attributes for each entity. Intuitively, these attributes such as height, price or population count are able to richly characterize entities …

Improving Neural Cross-Lingual Summarization via Employing Optimal Transport Distance for Knowledge Distillation

2021 · arXiv (Cornell University)

Current state-of-the-art cross-lingual summarization models employ multi-task learning paradigm, which works on a shared vocabulary module and relies on the self-attention mechanism to attend among tokens in two languages. However, correlation learned by self-attention is …

Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models

2023 · arXiv (Cornell University)

The prompt-based learning paradigm, which bridges the gap between pre-training and fine-tuning, achieves state-of-the-art performance on several NLP tasks, particularly in few-shot settings. Despite being widely applied, prompt-based learning is vulnerable to backdoor attacks. Textual …

Learning to Rank Question Answer Pairs with Holographic Dual LSTM Architecture

2017

We describe a new deep learning architecture for learning to rank question answer pairs. Our approach extends the long short-term memory (LSTM) network with holographic composition to model the relationship between question and answer representations. …

Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking

2018