3 papers
cs.LG2026
Sakana Fugu Technical Report
Yujin Tang, Edoardo Cetin, Jinglue Xu +11
The capabilities of frontier Large Language Models (LLMs) continue to advance, with different providers increasingly specializing in distinct domains. This raises a natural next ob…
cs.NE2026
Evolutionary Context Search for Automated Skill Acquisition
Qi Sun, Stefan Nielsen, Rio Yokota +1
Large Language Models cannot reliably acquire new knowledge post-deployment -- even when relevant text resources exist, models fail to transform them into actionable knowledge with…
cs.LG2025
TRINITY: An Evolved LLM Coordinator
Jinglue Xu, Qi Sun, Peter Schwendeman +3
Combining diverse foundation models is promising, but weight-merging is limited by mismatched architectures and closed APIs. Trinity addresses this with a lightweight coordinator t…