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Claim LD06-SL-C10 (v1.0)

Using item response theory, a method from psychometrics, researchers showed that 100 curated items suffice to estimate a model’s performance on MMLU’s 14,000, and released small versions of several popular benchmarks that reproduce the original results.

Provenance and status

Claim type
ESTIMATE (as printed: “ESTIMATE”)
Publication status
ELIGIBLE (QUALIFIED) (as printed: “ELIGIBLE WITH QUALIFIER”)
Verification state
CONTENT_VERIFIED_PRIMARY (ABSTRACT_ONLY) (as printed: “CONTENT VERIFIED ABSTRACT”; verified by: UNKNOWN)
Does not license
That the benchmark measures its intended construct (the method shows items are redundant, not that they are valid)
Source (field 6, as printed)
Maia Polo, Weber, Choshen, Sun, Xu & Yurochkin, “tinyBenchmarks: evaluating LLMs with fewer examples,” ICML 2024, arXiv:2402.14992
Source type (field 7)
PEER_REVIEWED_CONFERENCE_PAPER (as printed: “Peer-reviewed conference paper”)
Institutional position
Academic + industry (University of Michigan and IBM authors)
Maturity (claim evidence / publication maturity)
EMERGING (as printed: “EMERGING”)
Recorded date
2026-10-15
Currentness / correction
This is the current version. No correction or concern relation is recorded on its Sources.

Version

Pinned version v1.0 (entry LD06-SL-C10--v1.0) — this page never floats to newer evidence.

This pinned version is also the current version.

Versions:v1.0 · current

Pinned Sources (field 6, version-specific)

All 25 canonical Claim fields (raw values and normalized values)
#Canonical fieldCanonical value (verbatim)Normalized (Claim Value Vocabulary v1.0.2)
1CLAIM IDLD06-SL-C10—
2PUBLIC-FACING CLAIMUsing item response theory, a method from psychometrics, researchers showed that 100 curated items suffice to estimate a model’s performance on MMLU’s 14,000, and released small versions of several popular benchmarks that reproduce the original results.—
3CLAIM TYPEESTIMATEbase_types: ESTIMATE
4RESEARCH STRANDA — Benchmark validity and measurement—
5MATURITYEMERGINGstates: EMERGING
6SOURCEMaia Polo, Weber, Choshen, Sun, Xu & Yurochkin, “tinyBenchmarks: evaluating LLMs with fewer examples,” ICML 2024, arXiv:2402.14992source_ids: SRC-SL-MAIA-POLO-ET-AL-TINYBENCHMARKS-ICML-2024
7SOURCE TYPEPeer-reviewed conference paperclasses: PEER_REVIEWED_CONFERENCE_PAPER
8INSTITUTIONAL POSITIONAcademic + industry (University of Michigan and IBM authors)—
9SCOPEMMLU, the Open LLM Leaderboard, HELM and AlpacaEval 2.0—
10DESIGNItem selection by item response theory and related methods—
11SAMPLE / DATASETBenchmark items and many models’ responses—
12MODEL / TOOL / VERSIONOpen and proprietary models on the public leaderboards—
13COMPARATORScores on the full benchmarks—
14MAIN RESULT100 curated examples suffice to estimate MMLU performance accurately; tiny benchmarks reliably reproduce original evaluation results—
15INFERENTIAL TARGETWhether psychometric methods can make evaluation cheaper without losing the score—
16DOES NOT LICENSEThat the benchmark measures its intended construct (the method shows items are redundant, not that they are valid)—
17VERIFICATION STATECONTENT VERIFIED ABSTRACTstate: CONTENT_VERIFIED_PRIMARY · qualifiers: ABSTRACT_ONLY · verified_by: UNKNOWN
18LIMITATIONSRead in abstract only—
19CONTRADICTORY / SUPPORTING SOURCESPart of the measurement-repair literature (P1); does not address the validity problems in LD06-SL-C05—
20GEOGRAPHY / LANGUAGENot applicable / English—
21DISTRIBUTIONAL LEDGERNot analysed in this claim—
22R01 / FIELD-MAP LINKSLD-06, D4b—
23WHAT WOULD CHANGE THIS CLAIM?Evidence that tiny benchmarks misrank new models—
24PUBLICATION STATUSELIGIBLE WITH QUALIFIERstate: ELIGIBLE · qualifiers: QUALIFIED
25RECORDED DATE2026-10-15—

Field 22 references resolved against Field Map v0.2: LD-06 (LIVING_DEBATE); D4b (SUB_AREA)

Cited by Living Debate versions

Research-of-record provenance

Materialized by sociolens-materializer 0.6.0 at 2026-09-28T20:00:00.000Z; normalization contract SocioLens — Claim Value Vocabulary v1.0.2 — Pre-Spike Materialization Contract (v1.0.2). Content seal SHA-256 296d66ab79685f9a3ebd429eb9f283a943d293987959cc0222de86647f45dfc8.

Repository-authored inputs (not Drive exports)

  • SocioLens claim — LD06-SL-C10 v1.0 (v1.0) — written in the SocioLens repository by Project Lead (Claude, AI) on 2026-10-15; no Drive identity exists. Authority: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 15 October 2026 to build the LD-06 debate; a new Claim, first version, written from the project's LD-06 source notes, checked against full texts or official abstracts. Block “ENTRY 10 — LD06-SL-C10” SHA-256 37bacaf0195e92d8d1d6360109c3e8ea07ae161e979a73d8fa9e109727d1087e; fixture fixtures/authored/claims/LD06-SL-C10--v1.0.

Builder decisions (not Drive data)

  • VERSION = v1.0 — basis: Claim version taken from the repository-authored claim fixture version (SocioLens claim — LD06-SL-C10 v1.0); the first version of a new Claim of the LD-06 debate
  • CURRENT_POINTER = true — basis: repository-authored claim "SocioLens claim — LD06-SL-C10 v1.0" (Project Lead (Claude, AI), 2026-10-15); basis: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 15 October 2026 to build the LD-06 debate; a new Claim, first version, written from the project's LD-06 source notes, checked against full texts or official abstracts
  • FIELD_6_SOURCE_REFERENCE = SRC-SL-MAIA-POLO-ET-AL-TINYBENCHMARKS-ICML-2024--v1.0 — basis: field 6 of ENTRY 10 — LD06-SL-C10 cites "Maia Polo, Weber, Choshen, Sun, Xu & Yurochkin, “tinyBenchmarks: evaluating LLMs with fewer examples,” ICML 2024, arXiv:2402.14992"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
  • SOURCE_PROVENANCE_PIN = SRC-SL-MAIA-POLO-ET-AL-TINYBENCHMARKS-ICML-2024--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Maia Polo, Weber, Choshen, Sun, Xu & Yurochkin, “tinyBenchmarks: evaluating LLMs with fewer examples,” ICML 2024, arXiv:2402.14992".