Deep Learning
New computational algorithms make it possible to build neural networks with many input nodes and many layers, and distinguish "deep learning" of these networks from previous work on artificial neural nets.
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RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models
Neural Information Processing Systems
Machine unlearning is a promising solution for efficiently removing specific knowledge by post hoc modifying models.
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MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures
Neural Information Processing Systems
Evaluating large language models (LLMs) is challenging.
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Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction
Neural Information Processing Systems
This setup enables efficient, high-quality visual reconstructions across subjects from one experimental trial.
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