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09/20/2023
Towards Data-centric Graph Machine Learning: Review and Outlook
Data-centric AI, with its primary focus on the collection, management, a...
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09/16/2023
ODSum: New Benchmarks for Open Domain Multi-Document Summarization
Open-domain Multi-Document Summarization (ODMDS) is a critical tool for ...
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06/09/2023
Everybody Compose: Deep Beats To Music
This project presents a deep learning approach to generate monophonic me...
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05/23/2023
QTSumm: A New Benchmark for Query-Focused Table Summarization
People primarily consult tables to conduct data analysis or answer speci...
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05/23/2023
On Learning to Summarize with Large Language Models as References
Recent studies have found that summaries generated by large language mod...
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05/22/2023
Watermarking Text Data on Large Language Models for Dataset Copyright Protection
Large Language Models (LLMs), such as BERT and GPT-based models like Cha...
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03/07/2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
Recently, ChatGPT, along with DALL-E-2 and Codex,has been gaining signif...
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03/07/2023
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation
Interpretability and efficiency are two important considerations for the...
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03/05/2023
Unlearnable Graph: Protecting Graphs from Unauthorized Exploitation
While the use of graph-structured data in various fields is becoming inc...
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03/05/2023
Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation
The volume of open-source biomedical data has been essential to the deve...
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02/18/2023
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT
The Pretrained Foundation Models (PFMs) are regarded as the foundation f...
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02/18/2023
Backdoor Attacks to Pre-trained Unified Foundation Models
The rise of pre-trained unified foundation models breaks down the barrie...
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12/20/2022
Needle in a Haystack: An Analysis of Finding Qualified Workers on MTurk for Summarization
The acquisition of high-quality human annotations through crowdsourcing ...
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12/20/2022
On Improving Summarization Factual Consistency from Natural Language Feedback
Despite the recent progress in language generation models, their outputs...
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12/15/2022
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation
Human evaluation is the foundation upon which the evaluation of both sum...
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11/25/2022
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
Unsupervised graph representation learning (UGRL) has drawn increasing r...
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11/23/2022
SEAT: Stable and Explainable Attention
Currently, attention mechanism becomes a standard fixture in most state-...
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11/23/2022
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
Graph neural networks (GNNs) have shown their superiority in modeling gr...
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05/25/2022
Leveraging Locality in Abstractive Text Summarization
Despite the successes of neural attention models for natural language ge...
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05/25/2022
R2D2: Robust Data-to-Text with Replacement Detection
Unfaithful text generation is a common problem for text generation syste...
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03/31/2022
BRIO: Bringing Order to Abstractive Summarization
Abstractive summarization models are commonly trained using maximum like...
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02/25/2022
DataLab: A Platform for Data Analysis and Intervention
Despite data's crucial role in machine learning, most existing tools and...
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02/14/2022
Graph Neural Networks for Graphs with Heterophily: A Survey
Recent years have witnessed fast developments of graph neural networks (...
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02/11/2022
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach
Anomaly detection from graph data is an important data mining task in ma...
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01/17/2022
Towards Unsupervised Deep Graph Structure Learning
In recent years, graph neural networks (GNNs) have emerged as a successf...
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12/16/2021
CLICKER: A Computational LInguistics Classification Scheme for Educational Resources
A classification scheme of a scientific subject gives an overview of its...
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12/13/2021
Surfer100: Generating Surveys From Web Resources on Wikipedia-style
Fast-developing fields such as Artificial Intelligence (AI) often outpac...
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08/23/2021
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection
Anomaly detection from graph data has drawn much attention due to its pr...
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06/28/2021
Priority prediction of Asian Hornet sighting report using machine learning methods
As infamous invaders to the North American ecosystem, the Asian giant ho...
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06/18/2021
Anomaly Detection in Dynamic Graphs via Transformer
Detecting anomalies for dynamic graphs has drawn increasing attention du...
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06/03/2021
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization
In this paper, we present a conceptually simple while empirically powerf...
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04/15/2021
RefSum: Refactoring Neural Summarization
Although some recent works show potential complementarity among differen...
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04/13/2021
EXPLAINABOARD: An Explainable Leaderboard for NLP
With the rapid development of NLP research, leaderboards have emerged as...
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11/24/2020
Cyclic Label Propagation for Graph Semi-supervised Learning
Graph neural networks (GNNs) have emerged as effective approaches for gr...
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10/24/2020
On Learning Text Style Transfer with Direct Rewards
In most cases, the lack of parallel corpora makes it impossible to direc...
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09/21/2020
