# People

- [Sisong Bei](https://telegrapher.ai/people/sisong-bei.md): Compression, verifiable reasoning and what a model can still do with less. (15 papers)
- [Mikhail L Arbuzov](https://telegrapher.ai/people/mikhail-arbuzov.md): How errors accumulate in LLM systems, and how much of a prompt a model needs. (15 papers)
- [Ziwei Dong](https://telegrapher.ai/people/ziwei-dong.md): Error accumulation, compression and verifiable reasoning. (11 papers)
- [Dmitri Kalaev](https://telegrapher.ai/people/dmitri-kalaev.md): Error accumulation, compression and verifiable reasoning. (11 papers)
- [Lee Mosbacker](https://telegrapher.ai/people/lee-mosbacker.md): Telegraph English and how production AI systems learn outside the weights. (2 papers)
- [Alexey Shvets](https://telegrapher.ai/people/alexey-shvets.md): Error accumulation, compression and verifiable reasoning. (11 papers)