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09/05/2023
Data-Juicer: A One-Stop Data Processing System for Large Language Models
The immense evolution in Large Language Models (LLMs) has underscored th...
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09/01/2023
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning
LLMs have demonstrated great capabilities in various NLP tasks. Differen...
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08/29/2023
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation
Large language models (LLMs) have emerged as a new paradigm for Text-to-...
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08/16/2023
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series
This work summarizes two strategies for completing time-series (TS) task...
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07/16/2023
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study
Despite the superior performance, Large Language Models (LLMs) require s...
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05/18/2023
Counterfactual Debiasing for Generating Factually Consistent Text Summaries
Despite substantial progress in abstractive text summarization to genera...
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05/04/2023
Efficient Personalized Federated Learning via Sparse Model-Adaptation
Federated Learning (FL) aims to train machine learning models for multip...
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04/11/2023
HPN: Personalized Federated Hyperparameter Optimization
Numerous research studies in the field of federated learning (FL) have a...
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03/24/2023
LONGNN: Spectral GNNs with Learnable Orthonormal Basis
In recent years, a plethora of spectral graph neural networks (GNN) meth...
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03/23/2023
FS-Real: Towards Real-World Cross-Device Federated Learning
Federated Learning (FL) aims to train high-quality models in collaborati...
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02/03/2023
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks
In this work, besides improving prediction accuracy, we study whether pe...
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12/12/2022
Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning
The increasing privacy concerns on personal private text data promote th...
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10/21/2022
Privacy-Preserved Neural Graph Similarity Learning
To develop effective and efficient graph similarity learning (GSL) model...
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07/05/2022
Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing
Big data processing at the production scale presents a highly complex en...
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06/13/2022
Towards Universal Sequence Representation Learning for Recommender Systems
In order to develop effective sequential recommenders, a series of seque...
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06/08/2022
FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization
Hyperparameter optimization (HPO) is crucial for machine learning algori...
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06/08/2022
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning
Personalized Federated Learning (pFL), which utilizes and deploys distin...
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06/07/2022
Federated Hetero-Task Learning
To investigate the heterogeneity of federated learning in real-world sce...
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06/06/2022
ID-Agnostic User Behavior Pre-training for Sequential Recommendation
Recently, sequential recommendation has emerged as a widely studied topi...
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05/27/2022
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks
Graph Neural Networks (GNNs) have received extensive research attention ...
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04/12/2022
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning
The incredible development of federated learning (FL) has benefited vari...
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04/11/2022
FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing
Although remarkable progress has been made by the existing federated lea...
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12/27/2021
Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference Modeling
Recently, Product Question Answering (PQA) on E-Commerce platforms has a...
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10/16/2021
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression
On many natural language processing tasks, large pre-trained language mo...
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08/30/2021
Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation
Despite significant progress has been achieved in text summarization, fa...
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07/09/2021
Automated Graph Learning via Population Based Self-Tuning GCN
Owing to the remarkable capability of extracting effective graph embeddi...
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06/02/2021
Differential Privacy for Text Analytics via Natural Text Sanitization
Texts convey sophisticated knowledge. However, texts also convey sensiti...
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05/20/2021
Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning
Conversational recommender systems (CRS) enable the traditional recommen...
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04/12/2021
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge
Answer selection, which is involved in many natural language processing ...
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01/20/2021
Learning to Augment for Data-Scarce Domain BERT Knowledge Distillation
Despite pre-trained language models such as BERT have achieved appealing...
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01/04/2021
CRSLab: An Open-Source Toolkit for Building Conversational Recommender System
In recent years, conversational recommender system (CRS) has received mu...
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01/04/2021
A Pluggable Learned Index Method via Sampling and Gap Insertion
Database indexes facilitate data retrieval and benefit broad application...
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12/02/2020
Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains
Pre-trained language models have been applied to various NLP tasks with ...
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11/18/2020
EasyTransfer – A Simple and Scalable Deep Transfer Learning Platform for NLP Applications
The literature has witnessed the success of applying deep Transfer Learn...
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11/03/2020
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms
In recent years, there are a large number of recommendation algorithms p...
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07/29/2020
Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph
To automate the generation of interactive features, recent methods are p...
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07/04/2020
Simple and Deep Graph Convolutional Networks
Graph convolutional networks (GCNs) are a powerful deep learning approac...
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05/21/2020
Sequential Recommendation with Self-Attentive Multi-Adversarial Network
Recently, deep learning has made significant progress in the task of seq...
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04/21/2020
Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents
Distant supervision based methods for entity and relation extraction hav...
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04/07/2020
Practical Data Poisoning Attack against Next-Item Recommendation
Online recommendation systems make use of a variety of information sourc...
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02/05/2020
A Survey on Causal Inference
Causal inference is a critical research topic across many domains, such ...
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01/13/2020
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search
Large pre-trained language models such as BERT have shown their effectiv...
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01/03/2020
Automated Relational Meta-learning
In order to efficiently learn with small amount of data on new tasks, me...
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11/22/2019
Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering
Community question answering (CQA) gains increasing popularity in both a...
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06/20/2019
Multi-Grained Named Entity Recognition
This paper presents a novel framework, MGNER, for Multi-Grained Named En...
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04/26/2019
Towards Data Poisoning Attack against Knowledge Graph Embedding
Knowledge graph embedding (KGE) is a technique for learning continuous e...
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12/31/2018
SynonymNet: Multi-context Bilateral Matching for Entity Synonyms
Being able to automatically discover synonymous entities from a large fr...
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12/22/2018
Joint Slot Filling and Intent Detection via Capsule Neural Networks
Being able to recognize words as slots and detect the intent of an utter...
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12/06/2018
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering
Answer selection and knowledge base question answering (KBQA) are two im...
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11/01/2018
