Suzgun et al. (2022) — ARXIV-2210.09261
Key takeaways
- BBH is a filtered subset of BIG-bench, not a separate construction: the
23 tasks out of 204 on which the best model in
LIT-077failed to beat the average human rater. The selection criterion is a result, which is what makes the suite small, hard and dated in the same stroke - Chain-of-thought prompting moves ten of the twenty-three above the average human rater for PaLM, and seventeen for Codex. The paper’s own conclusion is that few-shot prompting without CoT “substantially underestimates” capability on multi-step tasks — so part of what BIG-bench measured as a capability ceiling was a prompting choice
- A BBH number is therefore prompt-conditioned in a way most suite members
are not. Two BBH figures are comparable only at matched shot count and
matched CoT setting — and of the seven documents here that report one, only
NOTE-167,SOTA-235andLIT-379say which protocol they used
Standing in the anthology
Carries no practice, deliberately — ADR-032.
It is in the record because SOTA-235 rests its central argument on what BBH
is. That practice weighs a +7.3 BBH gain more heavily than a much larger
ARC-AGI gain, on the grounds that ARC-AGI (LIT-405) is built to reward
exactly the search the method performs while “BBH is ordinary hard
reasoning”. That reading is right and now has somewhere to live: BBH’s tasks
were not designed around any method, and its difficulty comes from
multi-step composition rather than from structural novelty. The qualifier the
practice does not carry is the one above — BBH is selected relative to a 2022
model generation and is unusually sensitive to how it is prompted, so the
gain is evidence of generality at a fixed prompting protocol, which is what
SOTA-235’s two conditions in fact hold.
The same subset-versus-suite distinction that LIT-405 and LIT-407 draw
for ARC applies here: BBH is not BIG-bench. LIT-077 is the 204-task
suite and the source for SOTA-200 and SOTA-197; this note is the 23-task
hard split, and a document reporting “BBH” is reporting on the latter. Seven
documents here report BBH numbers, among them SOTA-122’s 20% relative gain
and LIT-121’s +3.39, and none of them could name the instrument until now.
LIT-119 records the other bound worth holding: its authors call BBH noisy
at 90M parameters. A 23-task suite has few items per task, and small-model
BBH deltas should be read with that in mind.
Unread — no NOTE.