Research
A paper is listed when one of its authors is affiliated with the lab. Data: OpenAlex.
REINFORCE Converges to Optimal Policies with Any Learning RateAlphabet, Google DeepMind · neural information processing systemsJan 1, 2025QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks?Google DeepMind · neural information processing systemsJan 1, 2025Learning Interactive World Model for Object-Centric Reinforcement LearningGoogle DeepMind · neural information processing systemsJan 1, 2025Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction FollowingGoogle DeepMind · neural information processing systemsJan 1, 2025Predictive Coding Enhances Meta-RL To Achieve Interpretable Bayes-Optimal Belief Representation Under Partial ObservabilityGoogle DeepMind · neural information processing systemsJan 1, 2025GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New InsightsGoogle DeepMind · neural information processing systemsJan 1, 2025Dynamic Test-Time Compute Scaling in Control Policy: Difficulty-Aware Stochastic Interpolant PolicyGoogle DeepMind · neural information processing systemsJan 1, 2025On the Edge of Memorization in Diffusion ModelsGoogle DeepMind · neural information processing systemsJan 1, 2025Mind the GAP! The Challenges of Scale in Pixel-based Deep Reinforcement LearningGoogle DeepMind · neural information processing systemsJan 1, 2025Curious Causality-Seeking Agents in Open-ended WorldsGoogle DeepMind · neural information processing systemsJan 1, 2025Quantization-Free Autoregressive Action TransformerGoogle DeepMind · neural information processing systemsJan 1, 2025Closed-Form Training Dynamics Reveal Learned Features and Linear Structure in Word2Vec-like ModelsGoogle DeepMind · neural information processing systemsJan 1, 2025Principled Fine-tuning of LLMs from User-Edits: A Medley of Preference, Supervision, and RewardDatabricks, Google DeepMind · neural information processing systemsJan 1, 2025Large language models can learn and generalize steganographic chain-of-thought under process supervisionGoogle DeepMind · neural information processing systemsJan 1, 2025Tiled Flash Linear Attention: More Efficient Linear RNN and xLSTM KernelsGoogle DeepMind · neural information processing systemsJan 1, 2025Universal Sequence PreconditioningAlphabet, Google DeepMind · neural information processing systemsJan 1, 2025Sparse Gaussian Processes: Structured Approximations and Power-EP RevisitedGoogle DeepMind · neural information processing systemsJan 1, 2025Recursive Inference Scaling: A Winning Path to Scalable Inference in Language and Multimodal SystemsAlphabet, Google DeepMind · neural information processing systemsJan 1, 2025DoubleDipper: Recycling Contexts for Efficient and Attributed In-Context LearningAlphabet, Google DeepMind · International Joint Conference on Natural Language Processing and Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL)Jan 1, 2025MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning EngineeringAlphabet, Google DeepMind · neural information processing systemsJan 1, 2025On the Hardness of Conditional Independence Testing In PracticeAlphabet, Google DeepMind, Microsoft · neural information processing systemsJan 1, 2025RAT: Bridging RNN Efficiency and Attention Accuracy via Chunk-based Sequence ModelingGoogle DeepMind · neural information processing systemsJan 1, 2025CLEVER: A Curated Benchmark for Formally Verified Code GenerationGoogle DeepMind · neural information processing systemsJan 1, 2025Capturing Individual Human Preferences with Reward FeaturesAlphabet, Google DeepMind · neural information processing systemsJan 1, 2025Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language ModelsAlphabet, Google DeepMind · neural information processing systemsJan 1, 2025