Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Sheshadri, Akshay Krishna"'
Autor:
Gupta, Anshita, Mondal, Debanjan, Sheshadri, Akshay Krishna, Zhao, Wenlong, Li, Xiang Lorraine, Wiegreffe, Sarah, Tandon, Niket
Editing model parameters directly in Transformers makes updating open-source transformer-based models possible without re-training (Meng et al., 2023). However, these editing methods have only been evaluated on statements about encyclopedic knowledge
Externí odkaz:
http://arxiv.org/abs/2305.14956
Automatic Speech Recognition (ASR) systems are evaluated using Word Error Rate (WER), which is calculated by comparing the number of errors between the ground truth and the transcription of the ASR system. This calculation, however, requires manual t
Externí odkaz:
http://arxiv.org/abs/2101.05478
Autor:
Gupta, Anshita, Mondal, Debanjan, Sheshadri, Akshay Krishna, Zhao, Wenlong, Li, Xiang Lorraine, Wiegreffe, Sarah, Tandon, Niket
Memory editing methods for updating encyclopedic knowledge in transformers have received increasing attention for their efficacy, specificity, and generalization advantages. However, it remains unclear if such methods can be adapted for the more nuan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04cc4ed0c8d335e6a6262ee01d04fbef
Autor:
Sheshadri, Akshay Krishna, Singh, Samarth, Botre, B. A., Bhargaw, H. N., Akbar, S. A., Jangid, Poonam, Hasmi, S. A. R., Shaligram, Arvind D., Gharpure, Damayanti C., Gaol, Ford Lumban, Sharma, Niti Nipun
Publikováno v:
AIP Conference Proceedings; 2020, Vol. 2335 Issue 1, p1-6, 6p
