27 citations · 28 across the 5 of their papers we have counts for
3 papers · 1 filter
Investigating Low-Rank Training in Transformer Language Models: Efficiency and Scaling Analysis
Xiuying Wei, Skander Moalla, Razvan Pascanu +1
State-of-the-art LLMs often rely on scale with high computational costs, which has sparked a research agenda to reduce parameter counts and costs without significantly impacting pe…
Building on Efficient Foundations: Effectively Training LLMs with Structured Feedforward Layers
Xiuying Wei, Skander Moalla, Razvan Pascanu +1
State-of-the-art results in large language models (LLMs) often rely on scale, which becomes computationally expensive. This has sparked a research agenda to reduce these models' pa…
No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO
Skander Moalla, Andrea Miele, Daniil Pyatko +2
Reinforcement learning (RL) is inherently rife with non-stationarity since the states and rewards the agent observes during training depend on its changing policy. Therefore, netwo…