person
Tatsunori Hashimoto
Stanford; CRFM; LLM evaluation and security
Stanford assistant professor in CS and statistics. Member of the Center for Research on Foundation Models. Researches generalization and security properties of large models.
current Assistant Professor of CS and Statistics, Stanford University; Member, Stanford CRFM
Strategy positions
Evals-drivenendorses
Capability/risk evals gate deployment; evals are the load-bearing artefactArgues robust evaluation requires carefully constructed datasets that resist contamination and reveal real generalization, not leaderboard-fitted numbers.
The dominant evaluation paradigm in NLP is fundamentally susceptible to contamination and overfitting. We need to design tests that are robust to the way models actually develop.
Closest strategy neighbours
by jaccard overlapOther people whose strategy tags overlap with Tatsunori Hashimoto's. Overlap is on tag identity, not stance; opposites can show up if they reference the same tags.
Record last updated 2026-04-25.