Catalyst Toxicity Reduction
Catalyst Toxicity Reduction is a methodological framework in computational linguistics and artificial intelligence that systematically diminishes the generation or propagation of toxic language in natural language models by identifying and neutralizing harmful linguistic patterns through targeted intervention mechanisms.
3
Publications
220
Citations
19
Authors
7
Institutions
Publications per year
2017–2026
3
Parents
3
Ahmadreza Yazdanbakhsh, Akbar Eslami, Mohamadreza Massoudinejad et al. · Chemical Engineering Journal · 2019 · 129 citations
Natural Sciences, Chemical Engineering, Environmental Engineering +17
Yuanhao Ouyang, Honghui Jiang, Haoxiang Zhong et al. · Chemical Engineering Journal · 2023 · 65 citations
Sameena N. Malik, Shahbaz M. Khan, Prakash C. Ghosh et al. · Chemosphere · 2019 · 26 citations
Engineering, Chemical Engineering, Environmental Engineering +17
1–4 of 3
19
National Environmental Engineering Research Institute, India
1 publications · 26 citations
1
h-index
1
h-index
National Environmental Engineering Research Institute, India
1 publications · 26 citations
1
h-index
1
h-index
1
h-index
1–5 of 19
7

Jinan University
Guangzhou, China
1 h-index
1 publications
65 citations

Shahid Beheshti University of Medical Sciences
Tehran, Iran
1 h-index
4 publications
516 citations

University of Science and Technology Beijing
Beijing, China
1 h-index
1 publications
65 citations
Central South University of Forestry and Technology
Changsha, China
1 h-index
7 publications
455 citations

Central South University
Changsha, China
1 h-index
7 publications
455 citations
National Environmental Engineering Research Institute
Nagpur, India
1 h-index
5 publications
130 citations

Indian Institute of Technology Bombay
Mumbai, India
1 h-index
2 publications
52 citations
Tsinghua University
Beijing, China
1 publications
21 citations
1–8 of 7
2 publications · 194 citations
2
h-index
1 publications · 26 citations
1
h-index
1 publications · 21 citations
1–3