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09/17/2023
Mitigating Shortcuts in Language Models with Soft Label Encoding
Recent research has shown that large language models rely on spurious co...
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09/02/2023
Explainability for Large Language Models: A Survey
Large language models (LLMs) have demonstrated impressive capabilities i...
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07/10/2023
One-Shot Pruning for Fast-adapting Pre-trained Models on Devices
Large-scale pre-trained models have been remarkably successful in resolv...
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05/24/2023
EvEval: A Comprehensive Evaluation of Event Semantics for Large Language Models
Events serve as fundamental units of occurrence within various contexts....
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05/19/2023
Plug-and-Play Medical Dialogue System
Medical dialogue systems aim to provide accurate answers to patients, ne...
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04/09/2023
Does Continual Learning Equally Forget All Parameters?
Distribution shift (e.g., task or domain shift) in continual learning (C...
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01/27/2023
Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks
As a few large-scale pre-trained models become the major choices of vari...
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05/11/2021
A Meta Reinforcement Learning-based Approach for Self-Adaptive System
A self-learning adaptive system (SLAS) uses machine learning to enable a...
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02/05/2021
Massive Self-Assembly in Grid Environments
Self-assembly plays an essential role in many natural processes, involvi...
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11/28/2018