Summary of The Use Of a Large Language Model For Cyberbullying Detection, by Bayode Ogunleye et al.
The Use of a Large Language Model for Cyberbullying Detectionby Bayode Ogunleye, Babitha DharmarajFirst submitted…
Summary of A Hard-to-beat Baseline For Training-free Clip-based Adaptation, by Zhengbo Wang et al.
A Hard-to-Beat Baseline for Training-free CLIP-based Adaptationby Zhengbo Wang, Jian Liang, Lijun Sheng, Ran He,…
Summary of An Exploration Of Clustering Algorithms For Customer Segmentation in the Uk Retail Market, by Jeen Mary John et al.
An Exploration of Clustering Algorithms for Customer Segmentation in the UK Retail Marketby Jeen Mary…
Summary of Efficient Generation Of Hidden Outliers For Improved Outlier Detection, by Jose Cribeiro-ramallo et al.
Efficient Generation of Hidden Outliers for Improved Outlier Detectionby Jose Cribeiro-Ramallo, Vadim Arzamasov, Klemens BöhmFirst…
Summary of The Challenges Of the Nonlinear Regime For Physics-informed Neural Networks, by Andrea Bonfanti et al.
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networksby Andrea Bonfanti, Giuseppe Bruno, Cristina…
Summary of Moment: a Family Of Open Time-series Foundation Models, by Mononito Goswami et al.
MOMENT: A Family of Open Time-series Foundation Modelsby Mononito Goswami, Konrad Szafer, Arjun Choudhry, Yifu…
Summary of Challenges in Mechanistically Interpreting Model Representations, by Satvik Golechha et al.
Challenges in Mechanistically Interpreting Model Representationsby Satvik Golechha, James DaoFirst submitted to arxiv on: 6…
Summary of Distillm: Towards Streamlined Distillation For Large Language Models, by Jongwoo Ko et al.
DistiLLM: Towards Streamlined Distillation for Large Language Modelsby Jongwoo Ko, Sungnyun Kim, Tianyi Chen, Se-Young…
Summary of A Phase Transition Between Positional and Semantic Learning in a Solvable Model Of Dot-product Attention, by Hugo Cui et al.
A phase transition between positional and semantic learning in a solvable model of dot-product attentionby…
Summary of Employee Turnover Analysis Using Machine Learning Algorithms, by Mahyar Karimi et al.
Employee Turnover Analysis Using Machine Learning Algorithmsby Mahyar Karimi, Kamyar Seyedkazem ViliyaniFirst submitted to arxiv…