InverseIFEval D
AI benchmark · Instruction Following
- Domains
- Instruction Following
- Tier
- D why
- Snapshot
What is InverseIFEval?
InverseIFEval measures whether language models can follow counter-intuitive instructions that conflict with conventions learned in training, scored by an LLM judge.
General capability mostly
“InverseIFEval (Zhang et al., 2025a) for following counter-intuitive instructions, judged by GPT-5.1”
research.nvidia.com/labs/nemotron/files/NVIDIA-Nemotron-3.5-… ↗
Paper: research.nvidia.com/labs/nemotron/files/NVIDIA-Nemotron-3.5-Bolt-E4B-4GB-Technical-Report.pdf ↗
Tier 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)
How we got to tier D
- Adoption: no usage data. Tier D.
- On X: unclear, none buzz No move.
- In curated RL directories: 1 point, a floor of none.
- 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 InverseIFEval sits
Its domain on the map, live. Hover a logo for its name; click to open it. Open it on the full map
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-29 snapshot.