Eran Malach

To Infinity and Beyond: Tool-Use Unlocks Length Generalization in State Space Models

How reinforcement learning after next-token prediction facilitates learning

Rethinking JEPA: Compute‑Efficient Video Self-Supervised Learning with Frozen Teachers

Parameter-Efficient Reinforcement Learning using Prefix Optimization

LLM-ERM: Sample-Efficient Program Learning via LLM-Guided Search

To Backtrack or Not to Backtrack: When Sequential Search Limits Model Reasoning

The Role of Sparsity for Length Generalization in LLMs

Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining

Let Me Think! A Long Chain of Thought Can Be Worth Exponentially Many Short Ones

A Taxonomy of Transcendence

The Power of Random Features and the Limits of Distribution-Free Gradient Descent

Universal Length Generalization with Turing Programs