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cs.CL2025
Visualising Policy-Reward Interplay to Inform Zeroth-Order Preference Optimisation of Large Language Models
Alessio Galatolo, Zhenbang Dai, Katie Winkle +1
Fine-tuning Large Language Models (LLMs) with first-order methods like back-propagation is computationally intensive. Zeroth-Order (ZO) optimisation uses function evaluations inste…
cs.CL2024
DIEKAE: Difference Injection for Efficient Knowledge Augmentation and Editing of Large Language Models
Alessio Galatolo, Meriem Beloucif, Katie Winkle
Pretrained Language Models (PLMs) store extensive knowledge within their weights, enabling them to recall vast amount of information. However, relying on this parametric knowledge…