Yidong Wang | DeepAI

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Hao Chen
339 publications
Philip S. Yu
299 publications
Yue Zhang
236 publications
Bernt Schiele
161 publications
Hao Wu
145 publications
Tao Qin
134 publications
Xing Xie
128 publications
Han Zhang
115 publications
Xi Li
111 publications
Qiang Yang
103 publications
Bhiksha Raj
84 publications

∙ 07/06/2023

A Survey on Evaluation of Large Language Models

Large language models (LLMs) are gaining increasing popularity in both a...

0 Yupeng Chang, et al. ∙

∙ 06/08/2023

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization

Instruction tuning large language models (LLMs) remains a challenging ta...

0 Yidong Wang, et al. ∙

∙ 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 ...

0 Kaijie Zhu, et al. ∙

∙ 05/23/2023

Out-of-Distribution Generalization in Text Classification: Past, Present, and Future

Machine learning (ML) systems in natural language processing (NLP) face ...

0 Linyi Yang, et al. ∙

∙ 05/21/2023

Evaluating Open Question Answering Evaluation

This study focuses on the evaluation of Open Question Answering (Open-QA...

0 Cunxiang Wang, et al. ∙

∙ 04/04/2023

Exploring Vision-Language Models for Imbalanced Learning

Vision-Language models (VLMs) that use contrastive language-image pre-tr...

0 Yidong Wang, et al. ∙

∙ 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 ...

0 Jindong Wang, et al. ∙

∙ 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...

0 Hao Chen, et al. ∙

∙ 11/20/2022

An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning

Semi-supervised learning (SSL) has shown great promise in leveraging unl...

0 Hao Chen, et al. ∙

∙ 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...

0 Linyi Yang, et al. ∙

∙ 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...

0 Wang Lu, et al. ∙

∙ 08/17/2022

Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction

Target-oriented Opinion Words Extraction (TOWE) is a fine-grained sentim...

0 Yidong Wang, et al. ∙

∙ 08/15/2022

Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets

While parameter efficient tuning (PET) methods have shown great potentia...

0 Hao Chen, et al. ∙

∙ 08/12/2022

USB: A Unified Semi-supervised Learning Benchmark

Semi-supervised learning (SSL) improves model generalization by leveragi...

0 Yidong Wang, et al. ∙

∙ 05/15/2022

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

Pseudo labeling and consistency regularization approaches with confidenc...

0 Yidong Wang, et al. ∙

∙ 12/14/2021

Margin Calibration for Long-Tailed Visual Recognition

The long-tailed class distribution in visual recognition tasks poses gre...

0 Yidong Wang, et al. ∙

∙ 10/15/2021

FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling

The recently proposed FixMatch achieved state-of-the-art results on most...

0 Bowen Zhang, et al. ∙

∙ 05/18/2021

Exploiting Adapters for Cross-lingual Low-resource Speech Recognition

Cross-lingual speech adaptation aims to solve the problem of leveraging ...

0 Wenxin Hou, et al. ∙

∙ 05/21/2020

Unsupervised segmentation via semantic-apparent feature fusion

Foreground segmentation is an essential task in the field of image under...

0 Xi Li, et al. ∙

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