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07/06/2023
A Survey on Evaluation of Large Language Models
Large language models (LLMs) are gaining increasing popularity in both a...
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06/08/2023
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
Instruction tuning large language models (LLMs) remains a challenging ta...
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06/07/2023
PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
The increasing reliance on Large Language Models (LLMs) across academia ...
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05/23/2023
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
Machine learning (ML) systems in natural language processing (NLP) face ...
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05/21/2023
Evaluating Open Question Answering Evaluation
This study focuses on the evaluation of Open Question Answering (Open-QA...
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04/04/2023
Exploring Vision-Language Models for Imbalanced Learning
Vision-Language models (VLMs) that use contrastive language-image pre-tr...
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02/22/2023
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective
ChatGPT is a recent chatbot service released by OpenAI and is receiving ...
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01/26/2023
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning
The critical challenge of Semi-Supervised Learning (SSL) is how to effec...
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11/20/2022
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning
Semi-supervised learning (SSL) has shown great promise in leveraging unl...
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11/15/2022
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective
Pre-trained language models (PLMs) are known to improve the generalizati...
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09/01/2022
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution
The distribution shifts between training and test data typically undermi...
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08/17/2022
Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction
Target-oriented Opinion Words Extraction (TOWE) is a fine-grained sentim...
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08/15/2022
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets
While parameter efficient tuning (PET) methods have shown great potentia...
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08/12/2022
USB: A Unified Semi-supervised Learning Benchmark
Semi-supervised learning (SSL) improves model generalization by leveragi...
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05/15/2022
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
Pseudo labeling and consistency regularization approaches with confidenc...
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12/14/2021
Margin Calibration for Long-Tailed Visual Recognition
The long-tailed class distribution in visual recognition tasks poses gre...
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10/15/2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
The recently proposed FixMatch achieved state-of-the-art results on most...
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05/18/2021
Exploiting Adapters for Cross-lingual Low-resource Speech Recognition
Cross-lingual speech adaptation aims to solve the problem of leveraging ...
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05/21/2020