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09/19/2023
Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling
Recommender systems are essential for online applications, and sequentia...
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06/18/2023
Efficiently Measuring the Cognitive Ability of LLMs: An Adaptive Testing Perspective
Large language models (LLMs), like ChatGPT, have shown some human-like c...
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06/07/2023
M^3IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning
Instruction tuning has significantly advanced large language models (LLM...
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05/31/2023
A Survey on Large Language Models for Recommendation
Large Language Models (LLMs) have emerged as powerful tools in the field...
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05/24/2023
InterFormer: Interactive Local and Global Features Fusion for Automatic Speech Recognition
The local and global features are both essential for automatic speech re...
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04/05/2023
Quiz-based Knowledge Tracing
Knowledge tracing (KT) aims to assess individuals' evolving knowledge st...
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02/20/2023
Deep Vision in Analysis and Recognition of Radar Data: Achievements, Advancements and Challenges
Radars are widely used to obtain echo information for effective predicti...
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11/06/2022
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges
Proper functioning of connected and automated vehicles (CAVs) is crucial...
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11/25/2020
A Odor Labeling Convolutional Encoder-Decoder for Odor Sensing in Machine Olfaction
Nowadays, machine olfaction has been widely used in many fields. In this...
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02/11/2020
A Single RGB Camera Based Gait Analysis with a Mobile Tele-Robot for Healthcare
With the increasing awareness of high-quality life, there is a growing n...
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05/07/2018
Sentence-State LSTM for Text Representation
Bi-directional LSTMs are a powerful tool for text representation. On the...
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03/14/2018
