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Blog | Machine Learning | Carnegie Mellon University
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Latest posts
Last updated 21 days ago
Teaching Vision-Language Models to Speak Cinema
21 days ago
A year of building a video caption pipeline with 100+ professional creators,...
Introducing ARFBench: A time series question-answering benchmark based on real incidents
about 1 month ago
More than a trillion dollars are lost every year due to system...
Carnegie Mellon at ICLR 2026
about 1 month ago
CMU researchers are presenting 194 papers at the Fourteenth International Conference on...
When Should AI Step Aside?: Teaching Agents When Humans Want to Intervene
about 2 months ago
Recent advances in large language models (LLMs) have enabled AI agents to...
LumberChunker: Long-Form Narrative Document Segmentation
3 months ago
Links:Paper | Code | Data LumberChunker lets an LLM decide where a...
Yes, AI, There is a Santa Claus
5 months ago
People use LLMs to ask for insight on a variety of important...
Validating LLM-as-a-Judge Systems under Rating Indeterminacy
6 months ago
Figure 1: Our framework for validating LLM-as-a-judge systems under rating indeterminacy, where...
Carnegie Mellon at NeurIPS 2025
6 months ago
CMU researchers are presenting 156 papers at the Thirty-Ninth Annual Conference on...
How to Explore to Scale RL Training of LLMs on Hard Problems?
6 months ago
Figure 1. Three regimes of exploration: Current RL model can explore via:...
Carnegie Mellon University at EMNLP 2025
7 months ago
CMU researchers are presenting 50 papers at the Thirtieth Conference on Empirical...
Learning from Failure to Tackle Extremely Hard Problems
7 months ago
This blog post is based on the work BaNEL: Exploration Posteriors for...
Diffusion Beats Autoregressive in Data-Constrained Settings
8 months ago
TLDR If you are compute-constrained, use autoregressive models; if you are data-constrained,...