pith:TNLFRSXE
GSM-SEM: Benchmark and Framework for Generating Semantically Variant Augmentations
GSM-SEM creates fresh math problem variants by changing facts and entities while preserving the original answers and calculations.
arxiv:2605.07053 v2 · 2026-05-08 · cs.CL · cs.AI
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\usepackage{pith}
\pithnumber{TNLFRSXEWBKK7R35PMEIPMYETI}
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Record completeness
Claims
Evaluating 14 SOTA LLMs, we observe consistent performance drops with larger decline when semantic perturbations are coupled with symbolic/plus variations (average drop rate 28% in maximum strictness configuration of GSM-SEM).
That modifications to entities, attributes, and relationships can be constrained to alter underlying facts and require recomputation while still preserving the original calculations, answer, and approximate problem difficulty.
GSM-SEM generates reusable, stochastic semantic variants of math reasoning benchmarks that alter underlying facts but preserve answers, producing larger LLM performance drops than prior surface-level variants.
Formal links
Receipt and verification
| First computed | 2026-05-27T01:05:56.460991Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9b5658cae4b054afc77d7b0887b3049a3764ac62ff8dee1df1aad848b5259ee2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TNLFRSXEWBKK7R35PMEIPMYETI \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 9b5658cae4b054afc77d7b0887b3049a3764ac62ff8dee1df1aad848b5259ee2
Canonical record JSON
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