Michael Kirchhof (ICML)
@mkirchhof.bsky.social
Research Scientist at Apple for uncertainty quantification.
LLMs are currently this one big parameter block that stores all sort of facts. In our new preprint, we add context-specific memory parameters to the model, and pretrain the model along with a big bank of memories.
📑 arxiv.org/abs/2510.02375
[1/10]🧵
📑 arxiv.org/abs/2510.02375
[1/10]🧵
October 6, 2025 at 4:06 PM
LLMs are currently this one big parameter block that stores all sort of facts. In our new preprint, we add context-specific memory parameters to the model, and pretrain the model along with a big bank of memories.
📑 arxiv.org/abs/2510.02375
[1/10]🧵
📑 arxiv.org/abs/2510.02375
[1/10]🧵
Can LLMs access and describe their own internal distributions? With my colleagues at Apple, I invite you to take a leap forward and make LLM uncertainty quantification what it can be.
📄 arxiv.org/abs/2505.20295
💻 github.com/apple/ml-sel...
🧵1/9
📄 arxiv.org/abs/2505.20295
💻 github.com/apple/ml-sel...
🧵1/9
July 3, 2025 at 9:08 AM
Can LLMs access and describe their own internal distributions? With my colleagues at Apple, I invite you to take a leap forward and make LLM uncertainty quantification what it can be.
📄 arxiv.org/abs/2505.20295
💻 github.com/apple/ml-sel...
🧵1/9
📄 arxiv.org/abs/2505.20295
💻 github.com/apple/ml-sel...
🧵1/9