Top Conference Papers

Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)

Superposition Yields Robust Neural Scaling

Optimal Mistake Bounds for Transductive Online Learning

Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Why Diffusion Models Don't Memorize: The Role of Implicit Dynamical Regularization in Training

Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free

1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities