b'Jiwei Li'

research

∙ 08/21/2023

Instruction Tuning for Large Language Models: A Survey

This paper surveys research works in the quickly advancing field of inst...

0 Shengyu Zhang, et al. ∙

research

∙ 06/16/2023

Pushing the Limits of ChatGPT on NLP Tasks

Despite the success of ChatGPT, its performances on most NLP tasks are s...

0 Xiaofei Sun, et al. ∙

research

∙ 05/23/2023

TaDSE: Template-aware Dialogue Sentence Embeddings

Learning high quality sentence embeddings from dialogues has drawn incre...

0 Minsik Oh, et al. ∙

research

∙ 05/15/2023

Text Classification via Large Language Models

Despite the remarkable success of large-scale Language Models (LLMs) suc...

0 Xiaofei Sun, et al. ∙

research

∙ 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...

0 Zhen Wan, et al. ∙

research

∙ 04/20/2023

GPT-NER: Named Entity Recognition via Large Language Models

Despite the fact that large-scale Language Models (LLM) have achieved SO...

0 Shuhe Wang, et al. ∙

research

∙ 03/25/2023

Backdoor Attacks with Input-unique Triggers in NLP

Backdoor attack aims at inducing neural models to make incorrect predict...

0 Xukun Zhou, et al. ∙

research

∙ 03/09/2023

Open World Classification with Adaptive Negative Samples

Open world classification is a task in natural language processing with ...

0 Ke Bai, et al. ∙

research

∙ 02/13/2023

PK-ICR: Persona-Knowledge Interactive Context Retrieval for Grounded Dialogue

Identifying relevant Persona or Knowledge for conversational systems is ...

0 Minsik Oh, et al. ∙

research

∙ 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 ...

0 Shuhe Wang, et al. ∙

research

∙ 10/21/2022

Rescue Implicit and Long-tail Cases: Nearest Neighbor Relation Extraction

Relation extraction (RE) has achieved remarkable progress with the help ...

0 Zhen Wan, et al. ∙

research

∙ 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...

0 Xuanli He, et al. ∙

research

∙ 04/07/2022

ShiftNAS: Towards Automatic Generation of Advanced Mulitplication-Less Neural Networks

Multiplication-less neural networks significantly reduce the time and en...

0 Xiaoxuan Lou, et al. ∙

research

∙ 03/31/2022

kNN-NER: Named Entity Recognition with Nearest Neighbor Search

Inspired by recent advances in retrieval augmented methods in NLP <cit.>...

0 Shuhe Wang, et al. ∙

research

∙ 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 ...

3 Xingshuo Han, et al. ∙

research

∙ 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 ...

0 Minghuan Tan, et al. ∙

research

∙ 02/14/2022

Threats to Pre-trained Language Models: Survey and Taxonomy

Pre-trained language models (PTLMs) have achieved great success and rema...

0 Shangwei Guo, et al. ∙

research

∙ 12/15/2021

Faster Nearest Neighbor Machine Translation

kNN based neural machine translation (kNN-MT) has achieved state-of-the-...

0 Shuhe Wang, et al. ∙

research

∙ 12/10/2021

Protecting Your NLG Models with Semantic and Robust Watermarks

Natural language generation (NLG) applications have gained great popular...

0 Tao Xiang, et al. ∙

research

∙ 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...

0 Xiaofei Sun, et al. ∙

research

∙ 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...

0 Leilei Gan, et al. ∙

research

∙ 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...

0 Yuxian Meng, et al. ∙

research

∙ 10/07/2021

Fingerprinting Multi-exit Deep Neural Network Models via Inference Time

Transforming large deep neural network (DNN) models into the multi-exit ...

0 Tian Dong, et al. ∙

research

∙ 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...

0 Kangjie Chen, et al. ∙

research

∙ 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 ...

0 Shuhe Wang, et al. ∙

research

∙ 09/14/2021

An MRC Framework for Semantic Role Labeling

Semantic Role Labeling (SRL) aims at recognizing the predicate-argument ...

0 Nan Wang, et al. ∙

research

∙ 09/07/2021

Paraphrase Generation as Unsupervised Machine Translation

In this paper, we propose a new paradigm for paraphrase generation by tr...

0 Chun Fan, et al. ∙

research

∙ 09/01/2021

ConRPG: Paraphrase Generation using Contexts as Regularizer

A long-standing issue with paraphrase generation is how to obtain reliab...

0 Yuxian Meng, et al. ∙

research

∙ 08/29/2021

kFolden: k-Fold Ensemble for Out-Of-Distribution Detection

Out-of-Distribution (OOD) detection is an important problem in natural l...

0 Xiaoya Li, et al. ∙

research

∙ 08/28/2021

Layer-wise Model Pruning based on Mutual Information

The proposed pruning strategy offers merits over weight-based pruning te...

0 Chun Fan, et al. ∙

research

∙ 06/30/2021

ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information

Recent pretraining models in Chinese neglect two important aspects speci...

0 Zijun Sun, et al. ∙

research

∙ 06/03/2021

Defending against Backdoor Attacks in Natural Language Generation

The frustratingly fragile nature of neural network models make current n...

0 Chun Fan, et al. ∙

research

∙ 05/30/2021

Fast Nearest Neighbor Machine Translation

Though nearest neighbor Machine Translation (kNN-MT) <cit.> has proved t...

0 Yuxian Meng, et al. ∙

research

∙ 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...

0 Chun Fan, et al. ∙

research

∙ 05/17/2021

Dependency Parsing as MRC-based Span-Span Prediction

Higher-order methods for dependency parsing can partially but not fully ...

0 Leilei Gan, et al. ∙

research

∙ 05/17/2021

Sentence Similarity Based on Contexts

Existing methods to measure sentence similarity are faced with two chall...

0 Xiaofei Sun, et al. ∙

research

∙ 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...

0 Yuxiao Lin, et al. ∙

research

∙ 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...

0 Liming Zhou, et al. ∙

research

∙ 12/03/2020

Self-Explaining Structures Improve NLP Models

Existing approaches to explaining deep learning models in NLP usually su...

0 Zijun Sun, et al. ∙

research

∙ 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...

0 Zijun Sun, et al. ∙

research

∙ 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...

0 Xiaofei Sun, et al. ∙

research

∙ 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...

0 Jiawei Wu, et al. ∙

research

∙ 08/31/2020

Receptive Multi-granularity Representation for Person Re-Identification

A key for person re-identification is achieving consistent local details...

2 Guanshuo Wang, et al. ∙

research

∙ 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...

0 Xiaoya Li, et al. ∙

research

∙ 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...

0 Xiaoya Li, et al. ∙

research

∙ 02/11/2020

Non-Autoregressive Neural Dialogue Generation

Maximum Mutual information (MMI), which models the bidirectional depende...

0 Qinghong Han, et al. ∙

research

∙ 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 ...

0 Xiaoya Li, et al. ∙

research

∙ 02/08/2020

Description Based Text Classification with Reinforcement Learning

The task of text classification is usually divided into two stages: tex...

0 Duo Chai, et al. ∙

research

∙ 01/31/2020

Teaching Machines to Converse

The ability of a machine to communicate with humans has long been associ...

0 Jiwei Li, et al. ∙

research

∙ 11/07/2019

Dice Loss for Data-imbalanced NLP Tasks

Many NLP tasks such as tagging and machine reading comprehension are fac...

0 Xiaoya Li, et al. ∙

Jiwei Li

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