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Zaheer Abbas

2 accepted papers

2024

Many-Shot In-Context Learning

NeurIPS 2024spotlight

Large language models (LLMs) excel at few-shot in-context learning (ICL) -- learning from a few examples provided in context at inference, without any weight updates. Newly expanded context windows allow us to investigate ICL with hundreds or thousands of examples – the many-shot regime. Going from…

Cited by 115SourcePDFScholar
2020

Selective Dyna-Style Planning Under Limited Model Capacity

ICML 2020poster

In model-based reinforcement learning, planning with an imperfect model of the environment has the potential to harm learning progress. But even when a model is imperfect, it may still contain information that is useful for planning. In this paper, we investigate the idea of using an imperfect model…

Cited by 43SourcePDFScholar