Publications
Explore a selection of our recent research on some of the most complex and interesting challenges in AI.
240 publications
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- 27 February 2024
- Set Learning for Accurate and Calibrated Models
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- 26 February 2024
- Frozen Feature Augmentation
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- 26 February 2024
- A density estimation perspective on learning from pairwise human preferences
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- 26 February 2024
- Intriguing Properties of Generative Classifers
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- 25 February 2024
- Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers
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- 24 February 2024
- On Limitations of the Transformer Architecture
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- 23 February 2024
- AlphaTensor for Optimizing Quantum Computations
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- 23 February 2024
- Genie: Generative Interactive Environments
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- 22 February 2024
- OmniPred: Language Models as Universal Regressors
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- 22 February 2024
- When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
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- 20 February 2024
- The Next 700 ML-Enabled Compiler Optimizations
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- 19 February 2024
- Simulacra as Conscious Exotica
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- 18 February 2024
- Learning to Learn Faster from Human Feedback with Language Model Predictive Control
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- 15 February 2024
- Experts Don't Cheat: Learning What You Don't Know by Predicting Pairs
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- 15 February 2024
- A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
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- 14 February 2024
- Premise Order Matters in Reasoning with Large Language Models
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- 13 February 2024
- A Distributional Analogue to the Successor Representation
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- 12 February 2024
- PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
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- 12 February 2024
- Near-Minimax-Optimal Distributional RL with a Generative Model
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- 11 February 2024
- Chain-of-Table: Evolves Tables in the LLM Reasoning Chain for Table Understanding
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- 8 February 2024
- Memory Consolidation Enables Long-Context Video Understanding
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- 8 February 2024
- Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits
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- 6 February 2024
- Large Language Models Self-Discover Reasoning Structures
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- 6 February 2024
- States as Strings as Strategies: Steering Language Models with Game-Theoretic Solvers
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- 2 February 2024
- Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces
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- 2 February 2024
- Fractal Patterns May Unravel the Intelligence in Next-Token Prediction
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- 1 February 2024
- Exploration at Scale using Epistemic Neural Networks
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- 1 February 2024
- Robust agents learn causal world models
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- 26 January 2024
- Learning Universal Predictors
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- 20 January 2024
- Neural Population Learning beyond Symmetric Zero-Sum Games