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cs.CL2025
: System-2 Fine-tuning for Robust Integration of New Knowledge
Core Francisco Park, Zechen Zhang, Hidenori Tanaka
Humans and intelligent animals can internalize new information and accurately internalize their implications to perform downstream tasks. While large language models (LLMs) can ach…
cs.CL2025
ICLR: In-Context Learning of Representations
Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana +5
Recent work has demonstrated that semantics specified by pretraining data influence how representations of different concepts are organized in a large language model (LLM). However…