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How to Train Data-Efficient LLMs
Paper • 2402.09668 • Published • 42 -
A Survey on Data Selection for LLM Instruction Tuning
Paper • 2402.05123 • Published • 3 -
Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation
Paper • 2409.12941 • Published • 23 -
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
Paper • 2503.24290 • Published • 62
Alessandro Belli
Zagred
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AI & ML interests
NLP, Psicometry Recognition, Influence Maximization, Neurosymbolic AI, Graph Neural Networks, Computer Vision, JEPA, Diffusion Models, Metaheuristic, Optimization, AutoML, Automated Planning, Robotics, Artificial Empathy, Reinforcement Learning
Organizations
None yet