Sainbayar Sukhbaatar

StepWiser: Stepwise Generative Judges for Wiser Reasoning

Stochastic activations

Adaptive Decoding via Latent Preference Optimization

Bridging Offline and Online Reinforcement Learning for LLMs

Diverse Preference Optimization

CoT-Self-Instruct: Building high-quality synthetic prompts data for reasoning and non-reasoning tasks

Self-Challenging Language Model Agents

Training Large Language Models to Reason in a Continuous Latent Space

Self-Consistency Preference Optimization

Multi-Token Attention

Training Large Language Model to Reason in a Continuous Latent Space

Thinking LLMs: General Instruction Following with Thought Generation

Contextual Position Encoding: Learning to Count What’s Important

Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

R.I.P.: Better Models by Survival of the Fittest Prompts

Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces