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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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06/10/2023
Effects of 3D Position Fluctuations on Air-to-Ground mmWave UAV Communications
Millimeter wave (mmWave)-based unmanned aerial vehicle (UAV) communicati...
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05/21/2023
The airplane refueling problem is NP-complete and is solvable in polynomial time
The airplane refueling problem is a nonlinear combinatorial optimization...
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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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04/08/2023
The n-vehicle exploration problem is NP-complete
The n-vehicle exploration problem (NVEP) is a combinatorial optimization...
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04/05/2023
MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs
Student modeling, the task of inferring a student's learning characteris...
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10/18/2022
A polynomial-time algorithm to solve the large scale of airplane refueling problem
Airplane refueling problem (ARP) is a scheduling problem with an objecti...
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03/31/2022
kNN-NER: Named Entity Recognition with Nearest Neighbor Search
Inspired by recent advances in retrieval augmented methods in NLP <cit.>...
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01/24/2022
Robust Joint Design for Intelligent Reflecting Surfaces Assisted Cell-Free Networks
Intelligent reflecting surfaces (IRSs) have emerged as a promising econo...
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12/15/2021
Faster Nearest Neighbor Machine Translation
kNN based neural machine translation (kNN-MT) has achieved state-of-the-...
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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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11/15/2021
Triggerless Backdoor Attack for NLP Tasks with Clean Labels
Backdoor attacks pose a new threat to NLP models. A standard strategy to...
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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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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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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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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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03/30/2021
Progressive Domain Expansion Network for Single Domain Generalization
Single domain generalization is a challenging case of model generalizati...
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09/29/2020
Weighted Sum-Rate Maximization for Intelligent Reflecting Surface Assisted Multi-Cell MU-MIMO Communications
In this paper, we investigate an intelligent reflecting surface (IRS) as...
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09/21/2020
Improving Robustness and Generality of NLP Models Using Disentangled Representations
Supervised neural networks, which first map an input x to a single repre...
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05/29/2020
Analyzing COVID-19 on Online Social Media: Trends, Sentiments and Emotions
At the time of writing, the ongoing pandemic of coronavirus disease (COV...
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03/22/2020
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection
While the self-attention mechanism has been widely used in a wide variet...
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02/08/2020
LAVA NAT: A Non-Autoregressive Translation Model with Look-Around Decoding and Vocabulary Attention
Non-autoregressive translation (NAT) models generate multiple tokens in ...
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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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10/25/2019
A Unified MRC Framework for Named Entity Recognition
The task of named entity recognition (NER) is normally divided into nest...
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09/26/2019
Large-scale Pretraining for Neural Machine Translation with Tens of Billions of Sentence Pairs
In this paper, we investigate the problem of training neural machine tra...
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08/24/2019
Query-Based Named Entity Recognition
In this paper, we propose a new strategy for the task of named entity re...
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05/14/2019
Entity-Relation Extraction as Multi-Turn Question Answering
In this paper, we propose a new paradigm for the task of entity-relation...
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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
