Summary of Machine Learning and Multi-source Remote Sensing in Forest Carbon Stock Estimation: a Review, by Autumn Nguyen and Sulagna Saha
Machine Learning and Multi-source Remote Sensing in Forest Carbon Stock Estimation: A Reviewby Autumn Nguyen,…
Machine Learning and Multi-source Remote Sensing in Forest Carbon Stock Estimation: A Reviewby Autumn Nguyen,…
Data-driven development of cycle prediction models for lithium metal batteries using multi modal miningby Jaewoong…
Learning Chemical Reaction Representation with Reactant-Product Alignmentby Kaipeng Zeng, Xianbin Liu, Yu Zhang, Xiaokang Yang,…
On Limitations of LLM as Annotator for Low Resource Languagesby Suramya Jadhav, Abhay Shanbhag, Amogh…
Explainable AI for Classifying UTI Risk Groups Using a Real-World Linked EHR and Pathology Lab…
Anytime Acceleration of Gradient Descentby Zihan Zhang, Jason D. Lee, Simon S. Du, Yuxin ChenFirst…
Non-Contextual BERT or FastText? A Comparative Analysisby Abhay Shanbhag, Suramya Jadhav, Amogh Thakurdesai, Ridhima Sinare,…
Attamba: Attending To Multi-Token Statesby Yash Akhauri, Safeen Huda, Mohamed S. AbdelfattahFirst submitted to arxiv…
Instance-Aware Graph Prompt Learningby Jiazheng Li, Jundong Li, Chuxu ZhangFirst submitted to arxiv on: 26…
Low-Bit Quantization Favors Undertrained LLMs: Scaling Laws for Quantized LLMs with 100T Training Tokensby Xu…