Wednesday, June 17: 4 frontier papers out of 358 read.
Papers rated as moving the field
How we choose“We demonstrate that the attack amplifies privacy leakage across language (up to 100% successful extraction), and vision-language models (up 90% successful extraction).”
The authors, in the abstract
Targeted Extraction of Unseen Training Data from LLMs
“The strongest adaptive search (tree-of-attacks) breaks Opus 4.8 on 11.5% of intents overall, whereas Fable 5 stays in the single digits (6.1% worst-case).”
“Experiments show that GeoDisaster challenges existing RS-VLMs and agentic systems, while RCEA improves tool use, evidence grounding, state consistency, and decision generation.”
Jun 11–17: 204 cleared, 19 frontier
The week’s papers have not been sorted into fields yet.
Papers this week that name the model
Papers this week with an author at the lab
30 papers