Chen, Zhiling, and Imani, Farhad. A multi-expert framework for enhancing multimodal large language models in industrial anomaly detection. Retrieved from https://par.nsf.gov/biblio/10650986. Pattern Recognition 172.PD Web. doi:10.1016/j.patcog.2025.112752.

Chen, Zhiling, & Imani, Farhad. A multi-expert framework for enhancing multimodal large language models in industrial anomaly detection. Pattern Recognition, 172 (PD). Retrieved from https://par.nsf.gov/biblio/10650986. https://doi.org/10.1016/j.patcog.2025.112752

Chen, Zhiling, and Imani, Farhad. "A multi-expert framework for enhancing multimodal large language models in industrial anomaly detection". Pattern Recognition 172 (PD). Country unknown/Code not available: Pattern Recognition. https://doi.org/10.1016/j.patcog.2025.112752. https://par.nsf.gov/biblio/10650986.

@article{osti_10650986,
place = {Country unknown/Code not available}, title = {A multi-expert framework for enhancing multimodal large language models in industrial anomaly detection}, url = {https://par.nsf.gov/biblio/10650986}, DOI = {10.1016/j.patcog.2025.112752}, abstractNote = {Not Available}, journal = {Pattern Recognition}, volume = {172}, number = {PD}, publisher = {Pattern Recognition}, author = {Chen, Zhiling and Imani, Farhad}, }