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Intuitive physics learning in a deep-learning model inspired by developmental psychology
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Human-centred mechanism design with Democratic AI
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BYOL-Explore: Exploration with Bootstrapped Prediction
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Unlocking High-Accuracy Differentially Private Image Classification through Scale
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Perceiver AR: general-purpose, long-context autoregressive generation
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Evaluating Multimodal Interactive Agents
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Dynamic language understanding: adaptation to new knowledge in parametric and semi-parametric models
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Emergent Bartering Behaviour in Multi-Agent Reinforcement Learning
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A Generalist Agent
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Active offline policy selection
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An empirical analysis of compute-optimal large language model training
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GopherCite: Teaching language models to support answers with verified quotes
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Learning Robust Real-Time Cultural Transmission without Human Data
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Probing Image-Language Transformers for Verb Understanding
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Red Teaming Language Models with Language Models
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Spurious normativity enhances learning of compliance and enforcement behavior in artificial agents
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Creating Interactive Agents with Imitation Learning
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Improving language models by retrieving from trillions of tokens
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On the Expressivity of Markov Reward
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Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons
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Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration
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Challenges in Detoxifying Language Models
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Enabling high-accuracy protein structure prediction at the proteome scale
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Melting Pot: an evaluation suite for multi-agent reinforcement learning
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AndroidEnv: The Android Learning Environment