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09/04/2023
MathAttack: Attacking Large Language Models Towards Math Solving Ability
With the boom of Large Language Models (LLMs), the research of solving M...
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08/26/2023
Solving Math Word Problem with Problem Type Classification
Math word problems (MWPs) require analyzing text descriptions and genera...
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07/17/2023
Predicting Battery Lifetime Under Varying Usage Conditions from Early Aging Data
Accurate battery lifetime prediction is important for preventative maint...
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06/15/2023
Learning by Analogy: Diverse Questions Generation in Math Word Problem
Solving math word problem (MWP) with AI techniques has recently made gre...
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06/06/2023
Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach
Large language models (LLMs) encode a vast amount of world knowledge acq...
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04/01/2023
On Context Distribution Shift in Task Representation Learning for Offline Meta RL
Offline meta reinforcement learning (OMRL) aims to learn transferrable k...
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11/10/2022
Bayesian hierarchical modelling for battery lifetime early prediction
Accurate prediction of battery health is essential for real-world system...
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03/02/2022
Towards Efficient and Stable K-Asynchronous Federated Learning with Unbounded Stale Gradients on Non-IID Data
Federated learning (FL) is an emerging privacy-preserving paradigm that ...
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12/12/2021
Neural Point Process for Learning Spatiotemporal Event Dynamics
Learning the dynamics of spatiotemporal events is a fundamental problem....
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12/03/2020
A Novel 3D Non-Stationary Multi-Frequency Multi-Link Wideband MIMO Channel Model
In this paper, a multi-frequency multi-link three-dimensional (3D) non-s...
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07/12/2020
