Machine Learning Blog | ML@CMU | Carnegie Mellon University

Teaching Vision-Language Models to Speak Cinema

Introducing ARFBench: A time series question-answering benchmark based on real incidents

Carnegie Mellon at ICLR 2026

When Should AI Step Aside?: Teaching Agents When Humans Want to Intervene

LumberChunker: Long-Form Narrative Document Segmentation

Yes, AI, There is a Santa Claus

Validating LLM-as-a-Judge Systems under Rating Indeterminacy

Carnegie Mellon at NeurIPS 2025

How to Explore to Scale RL Training of LLMs on Hard Problems?

Carnegie Mellon University at EMNLP 2025

Learning from Failure to Tackle Extremely Hard Problems

Diffusion Beats Autoregressive in Data-Constrained Settings