Search Results for author: Wenxin Hou

Found 12 papers, 10 papers with code

The Good, The Bad, and Why: Unveiling Emotions in Generative AI

no code implementations18 Dec 2023 Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie

Through extensive experiments involving language and multi-modal models on semantic understanding, logical reasoning, and generation tasks, we demonstrate that both textual and visual EmotionPrompt can boost the performance of AI models while EmotionAttack can hinder it.

Logical Reasoning

Large Language Models Understand and Can be Enhanced by Emotional Stimuli

no code implementations14 Jul 2023 Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie

In addition to those deterministic tasks that can be automatically evaluated using existing metrics, we conducted a human study with 106 participants to assess the quality of generative tasks using both vanilla and emotional prompts.

Emotional Intelligence Informativeness

On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective

1 code implementation22 Feb 2023 Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Haojun Huang, Wei Ye, Xiubo Geng, Binxin Jiao, Yue Zhang, Xing Xie

In this paper, we conduct a thorough evaluation of the robustness of ChatGPT from the adversarial and out-of-distribution (OOD) perspective.

Adversarial Robustness Chatbot +1

Boosting Cross-Domain Speech Recognition with Self-Supervision

1 code implementation20 Jun 2022 Han Zhu, Gaofeng Cheng, Jindong Wang, Wenxin Hou, Pengyuan Zhang, Yonghong Yan

The cross-domain performance of automatic speech recognition (ASR) could be severely hampered due to the mismatch between training and testing distributions.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

4 code implementations15 May 2022 Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Jindong Wang, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele, Xing Xie

Semi-supervised Learning (SSL) has witnessed great success owing to the impressive performances brought by various methods based on pseudo labeling and consistency regularization.

Fairness Semi-Supervised Image Classification

Margin Calibration for Long-Tailed Visual Recognition

1 code implementation14 Dec 2021 Yidong Wang, BoWen Zhang, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki

The long-tailed class distribution in visual recognition tasks poses great challenges for neural networks on how to handle the biased predictions between head and tail classes, i. e., the model tends to classify tail classes as head classes.

FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling

2 code implementations NeurIPS 2021 BoWen Zhang, Yidong Wang, Wenxin Hou, Hao Wu, Jindong Wang, Manabu Okumura, Takahiro Shinozaki

However, like other modern SSL algorithms, FixMatch uses a pre-defined constant threshold for all classes to select unlabeled data that contribute to the training, thus failing to consider different learning status and learning difficulties of different classes.

Semi-Supervised Image Classification

Exploiting Adapters for Cross-lingual Low-resource Speech Recognition

2 code implementations18 May 2021 Wenxin Hou, Han Zhu, Yidong Wang, Jindong Wang, Tao Qin, Renjun Xu, Takahiro Shinozaki

Based on our previous MetaAdapter that implicitly leverages adapters, we propose a novel algorithms called SimAdapter for explicitly learning knowledge from adapters.

Cross-Lingual ASR General Knowledge +3

Large-Scale End-to-End Multilingual Speech Recognition and Language Identification with Multi-Task Learning

1 code implementation25 Oct 2020 Wenxin Hou, Yue Dong, Bairong Zhuang, Longfei Yang, Jiatong Shi, Takahiro Shinozaki

In this paper, we report a large-scale end-to-end language-independent multilingual model for joint automatic speech recognition (ASR) and language identification (LID).

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

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