IHEval D

AI benchmark · Instruction Following

Tier
D why
Snapshot

What is IHEval?

IHEval measures whether language models follow the instruction hierarchy (system messages, user messages, conversation history, tool outputs), including when instructions at different priorities conflict.

  • General capability mostly

    “a novel benchmark comprising 3,538 examples across nine tasks, covering cases where instructions in different priorities either align or conflict.”
    arxiv.org/abs/2502.08745 ↗

Paper: arxiv.org/abs/2502.08745 ↗

Tier D

D

Long tail: little or no usage data yet.

How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.

  • no usage data
  • in curated RL directories (1 pt)

On X · unclear, low buzz, from 1 post about IHEval in the last month

IHEval shows up mainly as one reported metric in NVIDIA's Nemotron post-training comparisons, where it shows large gains, with little discussion of the benchmark itself.

@Raullen ↗

How we got to tier D
  1. Adoption: no usage data. Tier D.
  2. On X: unclear, low buzz. “IHEval shows up mainly as one reported metric in NVIDIA's Nemotron post-training comparisons, where it shows large gains, with little discussion of the benchmark itself.” No move.
  3. In curated RL directories: 1 point, a floor of none.
  4. Confirmed: a line from its own site or paper places it.

A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.

Where IHEval sits

Its domain on the map, live. Hover a logo for its name; click to open it. Open it on the full map

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Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-29 snapshot.