AI2 researcher teases a RULER-style long-context benchmark isolating state-tracking complexity

lambdaviking · x · 2026-11-04

In a thread clarifying an earlier discussion, lambdaviking explains the team is building a RULER-like long-context evaluation focused on state tracking: deterministic synthetic tasks solved over the input without reasoning tokens. He notes some RULER sub-tasks (niah-1, VT) already involve state tracking, but their benchmark aims to cleanly isolate different levels of state tracking by theoretical complexity.

Related event: Ai2's StateBench: Frontier Models Drop Below 13% on Long-Context State Tracking(17 posts)→

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