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Oriol Mayné i Comas

2 accepted papers

2026

L-CUBE: Isolating Long-Context Capacity from Knowledge with Controllable Mutual Information Scaling

ICML 2026poster

Evaluating long-context language models on natural language conflates architectural capacity to capture dependencies with semantic knowledge and vocabulary statistics. When models fail at long contexts, we cannot determine whether failures stem from fundamental architectural limitations or insuffici…

Cited by 0SourceScholar
2025

L$^2$M: Mutual Information Scaling Law for Long-Context Language Modeling

NeurIPS 2025poster

We present a universal theoretical framework for understanding *long-context language modeling* based on a *bipartite* mutual information scaling law that we rigorously verify in natural language. We demonstrate that bipartite mutual information captures multi-token interactions distinct from and sc…

Cited by 0SourcecodeScholar