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06/05/2023
CELDA: Leveraging Black-box Language Model as Enhanced Classifier without Labels
Utilizing language models (LMs) without internal access is becoming an a...
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01/27/2023
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning
As the size of the pre-trained language model (PLM) continues to increas...
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12/21/2022
Prompt-Augmented Linear Probing: Scaling Beyond The Limit of Few-shot In-Context Learners
Through in-context learning (ICL), large-scale language models are effec...
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10/20/2022
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble
Out-of-distribution (OOD) detection aims to discern outliers from the in...
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10/11/2022
Finding the global semantic representation in GAN through Frechet Mean
The ideally disentangled latent space in GAN involves the global represe...
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06/16/2022
Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator
Large-scale pre-trained language models (PLMs) are well-known for being ...
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05/26/2022
Analyzing the Latent Space of GAN through Local Dimension Estimation
The impressive success of style-based GANs (StyleGANs) in high-fidelity ...
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05/25/2022
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations
Despite recent explosion in research interests, in-context learning and ...
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05/18/2021