🚨 New Paper! A lot happens in the world every day—how can we update LLMs with belief-changing news? We introduce a new dataset "New News" and systematically study knowledge integration via System-2 Fine-Tuning (Sys2-FT). 1/n

New paper <3 Interested in inference-time scaling? In-context Learning? Mech Interp? LMs can solve novel in-context tasks, with sufficient examples (longer contexts). Why? Bc they dynamically form *in-context representations*! 1/N

New paper! “In-Context Learning of Representations” What happens to an LLM’s internal representations in the large context limit? We find that LLMs form “in-context representations” to match the structure of the task given in context!

Paper alert—accepted as a *Spotlight* at NeurIPS!🧵 Building on our work relating emergent abilities to task compositionality, we analyze the *learning dynamics* of compositional abilities & find there exist latent interventions that can elicit them much before input prompting works! 🤯