Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Ding, Wenbiao"'
Truthfulness stands out as an essential challenge for Large Language Models (LLMs). Although many works have developed various ways for truthfulness enhancement, they seldom focus on truthfulness in multilingual scenarios. Meanwhile, contemporary mul
Externí odkaz:
http://arxiv.org/abs/2406.14434
Multimodal pre-training for audio-and-text has recently been proved to be effective and has significantly improved the performance of many downstream speech understanding tasks. However, these state-of-the-art pre-training audio-text models work well
Externí odkaz:
http://arxiv.org/abs/2204.04645
Existing audio-language task-specific predictive approaches focus on building complicated late-fusion mechanisms. However, these models are facing challenges of overfitting with limited labels and low model generalization abilities. In this paper, we
Externí odkaz:
http://arxiv.org/abs/2109.00181
Task requirements (TRs) writing is an important question type in Key English Test and Preliminary English Test. A TR writing question may include multiple requirements and a high-quality essay must respond to each requirement thoroughly and accuratel
Externí odkaz:
http://arxiv.org/abs/2107.07957
The quality of vocal delivery is one of the key indicators for evaluating teacher enthusiasm, which has been widely accepted to be connected to the overall course qualities. However, existing evaluation for vocal delivery is mainly conducted with man
Externí odkaz:
http://arxiv.org/abs/2107.07956
Learning effective language representations from crowdsourced labels is crucial for many real-world machine learning tasks. A challenging aspect of this problem is that the quality of crowdsourced labels suffer high intra- and inter-observer variabil
Externí odkaz:
http://arxiv.org/abs/2107.07958
In this work, we study computational approaches to detect online dialogic instructions, which are widely used to help students understand learning materials, and build effective study habits. This task is rather challenging due to the widely-varying
Externí odkaz:
http://arxiv.org/abs/2107.07119
In this paper, we propose a simple yet effective solution to build practical teacher recommender systems for online one-on-one classes. Our system consists of (1) a pseudo matching score module that provides reliable training labels; (2) a ranking mo
Externí odkaz:
http://arxiv.org/abs/2107.07124
Autor:
Liu, Qiongqiong, Liu, Tianqiao, Zhao, Jiafu, Fang, Qiang, Ding, Wenbiao, Wu, Zhongqin, Xia, Feng, Tang, Jiliang, Liu, Zitao
Sentence completion (SC) questions present a sentence with one or more blanks that need to be filled in, three to five possible words or phrases as options. SC questions are widely used for students learning English as a Second Language (ESL) and bui
Externí odkaz:
http://arxiv.org/abs/2107.07122
Many real-world applications involve the use of Optical Character Recognition (OCR) engines to transform handwritten images into transcripts on which downstream Natural Language Processing (NLP) models are applied. In this process, OCR engines may in
Externí odkaz:
http://arxiv.org/abs/2107.07113