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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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05/23/2023
TaDSE: Template-aware Dialogue Sentence Embeddings
Learning high quality sentence embeddings from dialogues has drawn incre...
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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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05/03/2023
GPT-RE: In-context Learning for Relation Extraction using Large Language Models
In spite of the potential for ground-breaking achievements offered by la...
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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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03/25/2023
Backdoor Attacks with Input-unique Triggers in NLP
Backdoor attack aims at inducing neural models to make incorrect predict...
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03/09/2023
Open World Classification with Adaptive Negative Samples
Open world classification is a task in natural language processing with ...
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02/13/2023
PK-ICR: Persona-Knowledge Interactive Context Retrieval for Grounded Dialogue
Identifying relevant Persona or Knowledge for conversational systems is ...
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12/05/2022
GNN-SL: Sequence Labeling Based on Nearest Examples via GNN
To better handle long-tail cases in the sequence labeling (SL) task, in ...
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10/21/2022
Rescue Implicit and Long-tail Cases: Nearest Neighbor Relation Extraction
Relation extraction (RE) has achieved remarkable progress with the help ...
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09/19/2022
CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks
Previous works have validated that text generation APIs can be stolen th...
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04/07/2022
ShiftNAS: Towards Automatic Generation of Advanced Mulitplication-Less Neural Networks
Multiplication-less neural networks significantly reduce the time and en...
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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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03/02/2022
Clean-Annotation Backdoor Attack against Lane Detection Systems in the Wild
We present the first backdoor attack against the lane detection systems ...
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03/01/2022
Exploring and Adapting Chinese GPT to Pinyin Input Method
While GPT has become the de-facto method for text generation tasks, its ...
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02/14/2022
Threats to Pre-trained Language Models: Survey and Taxonomy
Pre-trained language models (PTLMs) have achieved great success and rema...
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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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12/10/2021
Protecting Your NLG Models with Semantic and Robust Watermarks
Natural language generation (NLG) applications have gained great popular...
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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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10/07/2021
Fingerprinting Multi-exit Deep Neural Network Models via Inference Time
Transforming large deep neural network (DNN) models into the multi-exit ...
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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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04/12/2021
Complex Spectral Mapping With Attention Based Convolution Recurrent Neural Network for Speech Enhancement
Speech enhancement has benefited from the success of deep learning in te...
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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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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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08/31/2020
Receptive Multi-granularity Representation for Person Re-Identification
A key for person re-identification is achieving consistent local details...
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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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02/11/2020
Non-Autoregressive Neural Dialogue Generation
Maximum Mutual information (MMI), which models the bidirectional depende...
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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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02/08/2020
Description Based Text Classification with Reinforcement Learning
The task of text classification is usually divided into two stages: tex...
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01/31/2020
Teaching Machines to Converse
The ability of a machine to communicate with humans has long been associ...
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11/07/2019
