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07/25/2023
E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning
As the size of transformer-based models continues to grow, fine-tuning t...
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05/13/2023
Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance
The networks for point cloud tasks are expected to be invariant when the...
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04/17/2023
Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca
Large Language Models (LLMs), such as ChatGPT and GPT-4, have revolution...
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04/03/2023
MiniRBT: A Two-stage Distilled Small Chinese Pre-trained Model
In natural language processing, pre-trained language models have become ...
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03/15/2023
FAQ: Feature Aggregated Queries for Transformer-based Video Object Detectors
Video object detection needs to solve feature degradation situations tha...
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03/11/2023
One Neuron Saved Is One Neuron Earned: On Parametric Efficiency of Quadratic Networks
Inspired by neuronal diversity in the biological neural system, a pletho...
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12/15/2022
Gradient-based Intra-attention Pruning on Pre-trained Language Models
Pre-trained language models achieve superior performance, but they are c...
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11/10/2022
LERT: A Linguistically-motivated Pre-trained Language Model
Pre-trained Language Model (PLM) has become a representative foundation ...
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10/02/2022
DFA: Dynamic Feature Aggregation for Efficient Video Object Detection
Video object detection is a fundamental yet challenging task in computer...
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07/12/2022
Dynamic Proposals for Efficient Object Detection
Object detection is a basic computer vision task to loccalize and catego...
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05/22/2022
GL-RG: Global-Local Representation Granularity for Video Captioning
Video captioning is a challenging task as it needs to accurately transfo...
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04/13/2022
HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms Detection
The same multi-word expressions may have different meanings in different...
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04/11/2022
HFL at SemEval-2022 Task 8: A Linguistics-inspired Regression Model with Data Augmentation for Multilingual News Similarity
This paper describes our system designed for SemEval-2022 Task 8: Multil...
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03/30/2022
TextPruner: A Model Pruning Toolkit for Pre-Trained Language Models
Pre-trained language models have been prevailed in natural language proc...
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03/14/2022
PERT: Pre-training BERT with Permuted Language Model
Pre-trained Language Models (PLMs) have been widely used in various natu...
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02/28/2022
Cross-Lingual Text Classification with Multilingual Distillation and Zero-Shot-Aware Training
Multilingual pre-trained language models (MPLMs) not only can handle tas...
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02/28/2022
CINO: A Chinese Minority Pre-trained Language Model
Multilingual pre-trained language models have shown impressive performan...
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01/20/2022
PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Study
Understanding a plant's root system architecture (RSA) is crucial for a ...
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10/15/2021
DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception
Multi-object tracking and segmentation (MOTS) is a critical task for aut...
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08/26/2021
Understanding Attention in Machine Reading Comprehension
Achieving human-level performance on some of Machine Reading Comprehensi...
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08/12/2021
TF-Blender: Temporal Feature Blender for Video Object Detection
Video objection detection is a challenging task because isolated video f...
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06/08/2021
Adversarial Training for Machine Reading Comprehension with Virtual Embeddings
Adversarial training (AT) as a regularization method has proved its effe...
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06/03/2021
Bilingual Alignment Pre-training for Zero-shot Cross-lingual Transfer
Multilingual pre-trained models have achieved remarkable transfer perfor...
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05/10/2021
ExpMRC: Explainability Evaluation for Machine Reading Comprehension
Achieving human-level performance on some of Machine Reading Comprehensi...
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03/18/2021
SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation
Video instance segmentation (VIS) is a new and critical task in computer...
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02/18/2021
Hierarchical Attention Fusion for Geo-Localization
Geo-localization is a critical task in computer vision. In this work, we...
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02/07/2021
Memory Augmented Sequential Paragraph Retrieval for Multi-hop Question Answering
Retrieving information from correlative paragraphs or documents to answe...
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12/04/2020
DenserNet: Weakly Supervised Visual Localization Using Multi-scale Feature Aggregation
In this work, we introduce a Denser Feature Network (DenserNet) for visu...
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11/13/2020
Unsupervised Explanation Generation for Machine Reading Comprehension
With the blooming of various Pre-trained Language Models (PLMs), Machine...
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11/03/2020
CharBERT: Character-aware Pre-trained Language Model
Most pre-trained language models (PLMs) construct word representations a...
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08/13/2020
Visual Localization for Autonomous Driving: Mapping the Accurate Location in the City Maze
Accurate localization is a foundational capacity, required for autonomou...
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04/29/2020
Benchmarking Robustness of Machine Reading Comprehension Models
Machine Reading Comprehension (MRC) is an important testbed for evaluati...
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04/29/2020
Revisiting Pre-Trained Models for Chinese Natural Language Processing
Bidirectional Encoder Representations from Transformers (BERT) has shown...
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04/28/2020
Conversational Word Embedding for Retrieval-Based Dialog System
Human conversations contain many types of information, e.g., knowledge, ...
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04/27/2020
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting
Deep pretrained language models have achieved great success in the way o...
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04/13/2020
CLUE: A Chinese Language Understanding Evaluation Benchmark
We introduce CLUE, a Chinese Language Understanding Evaluation benchmark...
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04/07/2020
A Sentence Cloze Dataset for Chinese Machine Reading Comprehension
Owing to the continuous contributions by the Chinese NLP community, more...
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04/07/2020
Is Graph Structure Necessary for Multi-hop Reasoning?
Recently, many works attempt to model texts as graph structure and intro...
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02/28/2020
TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing
In this paper, we introduce TextBrewer, an open-source knowledge distill...
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12/19/2019
CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension
We present a Chinese judicial reading comprehension (CJRC) dataset which...
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12/19/2019
Discriminative Sentence Modeling for Story Ending Prediction
Story Ending Prediction is a task that needs to select an appropriate en...
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11/14/2019
Contextual Recurrent Units for Cloze-style Reading Comprehension
Recurrent Neural Networks (RNN) are known as powerful models for handlin...
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11/09/2019
Improving Machine Reading Comprehension via Adversarial Training
Adversarial training (AT) as a regularization method has proved its effe...
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09/24/2019
TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbots
We consider the importance of different utterances in the context for se...
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09/01/2019
Cross-Lingual Machine Reading Comprehension
Though the community has made great progress on Machine Reading Comprehe...
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06/19/2019
Pre-Training with Whole Word Masking for Chinese BERT
Bidirectional Encoder Representations from Transformers (BERT) has shown...
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05/29/2019
Exploiting Persona Information for Diverse Generation of Conversational Responses
In human conversations, due to their personalities in mind, people can e...
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11/21/2018
Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions
Machine Reading Comprehension (MRC) with multiple-choice questions requi...
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10/17/2018
A Span-Extraction Dataset for Chinese Machine Reading Comprehension
Machine Reading Comprehension (MRC) has become enormously popular recent...
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03/15/2018