A benchmark system for evaluating LLMs across long contexts — summarization, long-doc QA, RAG, re-ranking, and generation with citations — beyond synthetic needle-in-a-haystack tests.
A paper that proposes test-time learnable long-term memory for LLMs, with a 'Surprise' metric that decides what in the context is worth remembering.
