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08/07/2023
COPA: Efficient Vision-Language Pre-training Through Collaborative Object- and Patch-Text Alignment
Vision-Language Pre-training (VLP) methods based on object detection enj...
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07/17/2023
BUS:Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization
Vision Transformer (ViT) based Vision-Language Pre-training (VLP) models...
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06/08/2023
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
Instruction tuning large language models (LLMs) remains a challenging ta...
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05/18/2023
3D Registration with Maximal Cliques
As a fundamental problem in computer vision, 3D point cloud registration...
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05/15/2023
Mode Approximation Makes Good Vision-Language Prompts
With the advance of large-scale model technologies, parameter-efficient ...
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05/09/2023
Exploiting Pseudo Image Captions for Multimodal Summarization
Cross-modal contrastive learning in vision language pretraining (VLP) fa...
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05/08/2023
Vision Langauge Pre-training by Contrastive Learning with Cross-Modal Similarity Regulation
Cross-modal contrastive learning in vision language pretraining (VLP) fa...
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04/23/2023
Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness
The capability of Large Language Models (LLMs) like ChatGPT to comprehen...
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04/04/2023
Exploring Vision-Language Models for Imbalanced Learning
Vision-Language models (VLMs) that use contrastive language-image pre-tr...
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03/17/2023
Hierarchical Prior Mining for Non-local Multi-View Stereo
As a fundamental problem in computer vision, multi-view stereo (MVS) aim...
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12/29/2022
Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction
The typical way for relation extraction is fine-tuning large pre-trained...
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12/29/2022
Sequence Generation with Label Augmentation for Relation Extraction
Sequence generation demonstrates promising performance in recent informa...
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10/21/2022
Low-Resources Project-Specific Code Summarization
Code summarization generates brief natural language descriptions of sour...
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08/21/2022
Exploring and Improving the Accessibility of Data Privacy-related Information for People Who Are Blind or Low-vision
We present a study of privacy attitudes and behaviors of people who are ...
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05/18/2022
Stop the Spread: A Contextual Integrity Perspective on the Appropriateness of COVID-19 Vaccination Certificates
We present an empirical study exploring how privacy influences the accep...
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09/14/2021
Cross-document Event Identity via Dense Annotation
In this paper, we study the identity of textual events from different do...
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09/08/2021
A Survey on Machine Learning Techniques for Auto Labeling of Video, Audio, and Text Data
Machine learning has been utilized to perform tasks in many different do...
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07/12/2021
Legal Judgment Prediction with Multi-Stage CaseRepresentation Learning in the Real Court Setting
Legal judgment prediction(LJP) is an essential task for legal AI. While ...
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07/01/2021
Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder
Capturing interactions among event arguments is an essential step toward...
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06/02/2021
Unsupervised Out-of-Domain Detection via Pre-trained Transformers
Deployed real-world machine learning applications are often subject to u...
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04/28/2021
Multi-view Inference for Relation Extraction with Uncertain Knowledge
Knowledge graphs (KGs) are widely used to facilitate relation extraction...
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03/21/2021
Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach
Code summaries are brief natural language descriptions of source code pi...
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03/02/2021
A Data-Centric Framework for Composable NLP Workflows
Empirical natural language processing (NLP) systems in application domai...
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12/09/2020
SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint
Automatic song writing aims to compose a song (lyric and/or melody) by m...
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02/24/2020
Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning
Code summarization generates brief natural language description given a ...
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06/21/2019
Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data
In practical scenario, relation extraction needs to first identify entit...
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04/19/2018
A Dynamic Boosted Ensemble Learning Method Based on Random Forest
We propose a dynamic boosted ensemble learning method based on random fo...
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04/19/2018