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cs.LG2025
Generative Data Refinement: Just Ask for Better Data
Minqi Jiang, João G. M. Araújo, Will Ellsworth +2
For a fixed parameter size, the capabilities of large models are primarily determined by the quality and quantity of its training data. Consequently, training datasets now grow fas…
cs.LG2024★ 1 cited
Offline Regularised Reinforcement Learning for Large Language Models Alignment
Pierre Harvey Richemond, Yunhao Tang, Daniel Guo +15
The dominant framework for alignment of large language models (LLM), whether through reinforcement learning from human feedback or direct preference optimisation, is to learn from…