Statistical Learning
Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure
Neural Information Processing Systems
Two-stage recommender systems play a crucial role in efficiently identifying relevant items and personalizing recommendations from a vast array of options.
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Interpreting Learned Feedback Patterns in Large Language Models Luke Marks Amir Abdullah Clement Neo Rauno Arike David Krueger Philip T orr
Neural Information Processing Systems
Learned Feedback Pattern (LFP) for patterns in an LLM's activations learned during RLHF that improve its performance on the fine-tuning task.
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