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09/02/2023
Constrained CycleGAN for Effective Generation of Ultrasound Sector Images of Improved Spatial Resolution
Objective. A phased or a curvilinear array produces ultrasound (US) imag...
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08/21/2023
Instruction Tuning for Large Language Models: A Survey
This paper surveys research works in the quickly advancing field of inst...
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06/16/2023
Pushing the Limits of ChatGPT on NLP Tasks
Despite the success of ChatGPT, its performances on most NLP tasks are s...
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05/15/2023
Text Classification via Large Language Models
Despite the remarkable success of large-scale Language Models (LLMs) suc...
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04/20/2023
GPT-NER: Named Entity Recognition via Large Language Models
Despite the fact that large-scale Language Models (LLM) have achieved SO...
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11/29/2021
A General Framework for Defending Against Backdoor Attacks via Influence Graph
In this work, we propose a new and general framework to defend against b...
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10/17/2021
GNN-LM: Language Modeling based on Global Contexts via GNN
Inspired by the notion that “to copy is easier than to memorize“, in thi...
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10/06/2021
BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models
Pre-trained Natural Language Processing (NLP) models can be easily adapt...
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09/27/2021
OpenViDial 2.0: A Larger-Scale, Open-Domain Dialogue Generation Dataset with Visual Contexts
In order to better simulate the real human conversation process, models ...
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09/14/2021
An MRC Framework for Semantic Role Labeling
Semantic Role Labeling (SRL) aims at recognizing the predicate-argument ...
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09/07/2021
Paraphrase Generation as Unsupervised Machine Translation
In this paper, we propose a new paradigm for paraphrase generation by tr...
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09/01/2021
ConRPG: Paraphrase Generation using Contexts as Regularizer
A long-standing issue with paraphrase generation is how to obtain reliab...
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08/29/2021
kFolden: k-Fold Ensemble for Out-Of-Distribution Detection
Out-of-Distribution (OOD) detection is an important problem in natural l...
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08/28/2021
Layer-wise Model Pruning based on Mutual Information
The proposed pruning strategy offers merits over weight-based pruning te...
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06/30/2021
ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information
Recent pretraining models in Chinese neglect two important aspects speci...
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06/03/2021
Defending against Backdoor Attacks in Natural Language Generation
The frustratingly fragile nature of neural network models make current n...
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05/30/2021
Fast Nearest Neighbor Machine Translation
Though nearest neighbor Machine Translation (kNN-MT) <cit.> has proved t...
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05/30/2021
Parameter Estimation for the SEIR Model Using Recurrent Nets
The standard way to estimate the parameters Θ_SEIR (e.g., the transmissi...
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05/17/2021
Dependency Parsing as MRC-based Span-Span Prediction
Higher-order methods for dependency parsing can partially but not fully ...
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05/17/2021
Sentence Similarity Based on Contexts
Existing methods to measure sentence similarity are faced with two chall...
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05/12/2021
BertGCN: Transductive Text Classification by Combining GCN and BERT
In this work, we propose BertGCN, a model that combines large scale pret...
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12/03/2020
Self-Explaining Structures Improve NLP Models
Existing approaches to explaining deep learning models in NLP usually su...
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11/17/2020
Neural Semi-supervised Learning for Text Classification Under Large-Scale Pretraining
The goal of semi-supervised learning is to utilize the unlabeled, in-dom...
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10/14/2020
Summarize, Outline, and Elaborate: Long-Text Generation via Hierarchical Supervision from Extractive Summaries
Long-text generation remains a challenge. The difficulty of generating c...
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11/07/2019
Dice Loss for Data-imbalanced NLP Tasks
Many NLP tasks such as tagging and machine reading comprehension are fac...
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05/14/2019
Is Word Segmentation Necessary for Deep Learning of Chinese Representations?
Segmenting a chunk of text into words is usually the first step of proce...
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01/29/2019
Glyce: Glyph-vectors for Chinese Character Representations
It is intuitive that NLP tasks for logographic languages like Chinese sh...
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10/10/2016