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09/14/2023
Echotune: A Modular Extractor Leveraging the Variable-Length Nature of Speech in ASR Tasks
The Transformer architecture has proven to be highly effective for Autom...
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06/27/2023
On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection
Detecting adversarial samples that are carefully crafted to fool the mod...
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06/27/2023
DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization
Adversarial training is one of the best-performing methods in improving ...
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05/23/2023
Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement
Prompting methods such as Chain-of-Thought (CoT) have shed new light on ...
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05/22/2023
Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model
Pretrained language models have achieved remarkable success in various n...
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05/04/2023
CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing
Dataset bias, i.e., the over-reliance on dataset-specific literal heuris...
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10/14/2022
Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding
Dataset bias has attracted increasing attention recently for its detrime...
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02/16/2022
