Summary of From General to Specific: Tailoring Large Language Models For Personalized Healthcare, by Ruize Shi et al.
From General to Specific: Tailoring Large Language Models for Personalized Healthcareby Ruize Shi, Hong Huang,…
Summary of Artemis-da: An Advanced Reasoning and Transformation Engine For Multi-step Insight Synthesis in Data Analytics, by Atin Sakkeer Hussain
ARTEMIS-DA: An Advanced Reasoning and Transformation Engine for Multi-Step Insight Synthesis in Data Analyticsby Atin…
Summary of A Comprehensive Geoai Review: Progress, Challenges and Outlooks, by Anasse Boutayeb and Iyad Lahsen-cherif and Ahmed El Khadimi
A comprehensive GeoAI review: Progress, Challenges and Outlooksby Anasse Boutayeb, Iyad Lahsen-cherif, Ahmed El KhadimiFirst…
Summary of On Adversarial Robustness and Out-of-distribution Robustness Of Large Language Models, by April Yang et al.
On Adversarial Robustness and Out-of-Distribution Robustness of Large Language Modelsby April Yang, Jordan Tab, Parth…
Summary of Olympus: a Universal Task Router For Computer Vision Tasks, by Yuanze Lin et al.
Olympus: A Universal Task Router for Computer Vision Tasksby Yuanze Lin, Yunsheng Li, Dongdong Chen,…
Summary of Forest-of-thought: Scaling Test-time Compute For Enhancing Llm Reasoning, by Zhenni Bi et al.
Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoningby Zhenni Bi, Kai Han, Chuanjian Liu, Yehui…
Summary of An Enhancement Of Cnn Algorithm For Rice Leaf Disease Image Classification in Mobile Applications, by Kayne Uriel K. Rodrigo et al.
An Enhancement of CNN Algorithm for Rice Leaf Disease Image Classification in Mobile Applicationsby Kayne…
Summary of Generating Knowledge Graphs From Large Language Models: a Comparative Study Of Gpt-4, Llama 2, and Bert, by Ahan Bhatt et al.
Generating Knowledge Graphs from Large Language Models: A Comparative Study of GPT-4, LLaMA 2, and…
Summary of Parkinson’s Disease Diagnosis Through Deep Learning: a Novel Lstm-based Approach For Freezing Of Gait Detection, by Aqib Nazir Mir et al.
Parkinson’s Disease Diagnosis Through Deep Learning: A Novel LSTM-Based Approach for Freezing of Gait Detectionby…
Summary of Beexformer: a Fast Inferencing Transformer Architecture Via Binarization with Multiple Early Exits, by Wazib Ansar et al.
BEExformer: A Fast Inferencing Transformer Architecture via Binarization with Multiple Early Exitsby Wazib Ansar, Saptarsi…