Bing Qin
Biographic Data
| ID | 8090612 |
|---|---|
| NAME | Bing Qin |
| GIVEN NAMES | Bing |
| FAMILY NAME | Qin |
| SIGNATURE | QIN B |
| AFFILIATIONS | Harbin Institute of Technology |
| ORCID | 0000-0003-2842-9637 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
The emergence of large language models (LLMs) has marked a significant breakthrough in natural language processing (NLP), fueling a paradigm shift in information acquisition. Nevertheless, LLMs are prone to hallucination, generating plausible yet nonfactual content. This phenomenon raises significant concerns over the reliability of LLMs in real-world information retrieval (IR) systems and has attracted intensive research to detect and mitigate s…
Multidimensional responsive carbon neutrality capacity assessment index system for megacities from the perspectives of energy supply, consumption, and carbon sinks: A coupled AHP-SD-RF model
Cognitive distortion based explainable depression detection and analysis technologies for the adolescent internet users on social media
Nowadays, adolescents would like to share their daily lives via social media platforms, which presents an excellent opportunity for us to leverage these data to develop techniques to measure their mental health status, such as depression. Previous researches focus on the more accurate detection of depression through statistical learning and ignore psychological understanding of depression. However, psychologists have given lots of theoretical evi…
Pre-Training With Whole Word Masking for Chinese Bert
Bidirectional Encoder Representations from Transformers (BERT) has shown marvelous improvements across various NLP tasks, and its consecutive variants have been proposed to further improve the performance of the pre-trained language models. In this paper, we aim to first introduce the whole word masking (wwm) strategy for Chinese BERT, along with a series of Chinese pre-trained language models. Then we also propose a simple but effective model ca…
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Pre-Training With Whole Word Masking for Chinese Bert
Bidirectional Encoder Representations from Transformers (BERT) has shown marvelous improvements across various NLP tasks, and its consecutive variants have been proposed to further improve the performance of the pre-trained language models. In this paper, we aim to first introduce the whole word masking (wwm) strategy for Chinese BERT, along with a series of Chinese pre-trained language models. Then we also propose a simple but effective model ca…
Cognitive distortion based explainable depression detection and analysis technologies for the adolescent internet users on social media
Nowadays, adolescents would like to share their daily lives via social media platforms, which presents an excellent opportunity for us to leverage these data to develop techniques to measure their mental health status, such as depression. Previous researches focus on the more accurate detection of depression through statistical learning and ignore psychological understanding of depression. However, psychologists have given lots of theoretical evi…
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
The emergence of large language models (LLMs) has marked a significant breakthrough in natural language processing (NLP), fueling a paradigm shift in information acquisition. Nevertheless, LLMs are prone to hallucination, generating plausible yet nonfactual content. This phenomenon raises significant concerns over the reliability of LLMs in real-world information retrieval (IR) systems and has attracted intensive research to detect and mitigate s…
Multidimensional responsive carbon neutrality capacity assessment index system for megacities from the perspectives of energy supply, consumption, and carbon sinks: A coupled AHP-SD-RF model
Cognitive psychology (2 works) · Computer Science (2 works) · Psychiatry (2 works) · Psychology (2 works) · Topic Modeling (2 works) · Analytic hierarchy process (1 works) · Applied Psychology (1 works) · Artificial Intelligence (1 works) · Carbon fibers (1 works) · Carbon neutrality (1 works)