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09/20/2023
DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
We propose DISC-LawLLM, an intelligent legal system utilizing large lang...
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09/19/2023
Delay-sensitive Task Offloading in Vehicular Fog Computing-Assisted Platoons
Vehicles in platoons need to process many tasks to support various real-...
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06/02/2023
Task-Agnostic Structured Pruning of Speech Representation Models
Self-supervised pre-trained models such as Wav2vec2, Hubert, and WavLM h...
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06/02/2023
DistilXLSR: A Light Weight Cross-Lingual Speech Representation Model
Multilingual self-supervised speech representation models have greatly e...
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05/16/2023
MsPrompt: Multi-step Prompt Learning for Debiasing Few-shot Event Detection
Event detection (ED) is aimed to identify the key trigger words in unstr...
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04/06/2023
Deep Reinforcement Learning Based Vehicle Selection for Asynchronous Federated Learning Enabled Vehicular Edge Computing
In the traditional vehicular network, computing tasks generated by the v...
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01/21/2023
Unifying Structure Reasoning and Language Model Pre-training for Complex Reasoning
Recent knowledge enhanced pre-trained language models have shown remarka...
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08/22/2022
Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering
Multi-hop reasoning requires aggregating multiple documents to answer a ...
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08/03/2022
Asynchronous Federated Learning for Edge-assisted Vehicular Networks
Vehicular networks enable vehicles support real-time vehicular applicati...
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07/19/2022
Multi-parametric Analysis for Mixed Integer Linear Programming: An Application to Transmission Planning and Congestion Control
Enhancing existing transmission lines is a useful tool to combat transmi...
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07/13/2022
Diverse Dance Synthesis via Keyframes with Transformer Controllers
Existing keyframe-based motion synthesis mainly focuses on the generatio...
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06/11/2022
A Unified Continuous Learning Framework for Multi-modal Knowledge Discovery and Pre-training
Multi-modal pre-training and knowledge discovery are two important resea...
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12/17/2021
Reasoning Chain Based Adversarial Attack for Multi-hop Question Answering
Recent years have witnessed impressive advances in challenging multi-hop...
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11/05/2021
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval
Matching model is essential for Image-Text Retrieval framework. Existing...
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09/12/2021
Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval
Existing research for image text retrieval mainly relies on sentence-lev...
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08/19/2021
Fine-Grained Element Identification in Complaint Text of Internet Fraud
Existing system dealing with online complaint provides a final decision ...
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06/21/2021
TCIC: Theme Concepts Learning Cross Language and Vision for Image Captioning
Existing research for image captioning usually represents an image using...
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05/08/2021
Coded Alternating Least Squares for Straggler Mitigation in Distributed Recommendations
Matrix factorization is an important representation learning algorithm, ...
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03/25/2021
Mask Attention Networks: Rethinking and Strengthen Transformer
Transformer is an attention-based neural network, which consists of two ...
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12/01/2020
An Enhanced Knowledge Injection Model for Commonsense Generation
Commonsense generation aims at generating plausible everyday scenario de...
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09/03/2019
Denoising Auto-encoding Priors in Undecimated Wavelet Domain for MR Image Reconstruction
Compressive sensing is an impressive approach for fast MRI. It aims at r...
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05/27/2019
