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08/03/2023
Baby's CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models
Large Language Models (LLMs) demonstrate remarkable performance on a var...
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06/07/2023
ModuleFormer: Learning Modular Large Language Models From Uncurated Data
Large Language Models (LLMs) have achieved remarkable results. But exist...
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05/18/2023
Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance
Gradient Boosting Decision Tree (GBDT) has achieved remarkable success i...
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12/23/2022
Discovering Customer-Service Dialog System with Semi-Supervised Learning and Coarse-to-Fine Intent Detection
Task-oriented dialog(TOD) aims to assist users in achieving specific goa...
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12/05/2022
Indoor room Occupancy Counting based on LSTM and Environmental Sensor
This paper realizes the estimation of classroom occupancy by using the C...
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11/22/2022
OpenFE: Automated Feature Generation beyond Expert-level Performance
The goal of automated feature generation is to liberate machine learning...
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11/11/2021
Driver-Specific Risk Recognition in Interactive Driving Scenarios using Graph Representation
This paper presents a driver-specific risk recognition framework for aut...
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11/06/2021
Prediction of Pedestrian Spatiotemporal Risk Levels for Intelligent Vehicles: A Data-driven Approach
In recent years, road safety has attracted significant attention from re...
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04/15/2021