Private preview. Not published and not indexed.

Claim LD06-SL-C09 (v1.0)

Meaning-preserving changes to prompt formatting changed few-shot accuracy by up to 76 percentage points for LLaMA-2-13B, and which formats work best correlated only weakly between models, which the authors say calls into question comparing models on one fixed prompt format.

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
The size of the effect for current frontier models
Source (field 6, as printed)
Sclar, Choi, Tsvetkov & Suhr, “Quantifying Language Models’ Sensitivity to Spurious Features in Prompt Design,” ICLR 2024, arXiv:2310.11324
Source type (field 7)
PEER_REVIEWED_CONFERENCE_PAPER (as printed: “Peer-reviewed conference paper”)
Institutional position
Independent academic
Maturity (claim evidence / publication maturity)
MATURE (as printed: “MATURE”)
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-C09--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-C09—
2PUBLIC-FACING CLAIMMeaning-preserving changes to prompt formatting changed few-shot accuracy by up to 76 percentage points for LLaMA-2-13B, and which formats work best correlated only weakly between models, which the authors say calls into question comparing models on one fixed prompt format.—
3CLAIM TYPEESTIMATEbase_types: ESTIMATE
4RESEARCH STRANDA — Benchmark validity and measurement—
5MATURITYMATUREstates: MATURE
6SOURCESclar, Choi, Tsvetkov & Suhr, “Quantifying Language Models’ Sensitivity to Spurious Features in Prompt Design,” ICLR 2024, arXiv:2310.11324source_ids: SRC-SL-SCLAR-CHOI-TSVETKOV-SUHR-ICLR-2024
7SOURCE TYPEPeer-reviewed conference paperclasses: PEER_REVIEWED_CONFERENCE_PAPER
8INSTITUTIONAL POSITIONIndependent academic—
9SCOPEClassification and generation tasks in few-shot settings—
10DESIGNSystematic variation of prompt formats—
11SAMPLE / DATASETMany sampled formats per task—
12MODEL / TOOL / VERSIONSeveral widely used open-source models, including LLaMA-2-13B—
13COMPARATORAlternative plausible formats for the same task—
14MAIN RESULTUp to 76 accuracy points between formats; sensitivity persists with model size, more examples and instruction tuning; format performance weakly correlated between models—
15INFERENTIAL TARGETThe stability of a benchmark score under arbitrary evaluation choices—
16DOES NOT LICENSEThe size of the effect for current frontier models—
17VERIFICATION STATECONTENT VERIFIED ABSTRACTstate: CONTENT_VERIFIED_PRIMARY · qualifiers: ABSTRACT_ONLY · verified_by: UNKNOWN
18LIMITATIONSRead in abstract only; 2023 open models—
19CONTRADICTORY / SUPPORTING SOURCESThe authors propose reporting a range across formats, a measurement repair—
20GEOGRAPHY / LANGUAGENot checked / English—
21DISTRIBUTIONAL LEDGERNot analysed in this claim—
22R01 / FIELD-MAP LINKSLD-06, D4b—
23WHAT WOULD CHANGE THIS CLAIM?Evidence that current models and harnesses are robust to format—
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 f9ed22de67e436633be09fa9e55082397fff08ed08998d2ff90d46c27dd993a6.

Repository-authored inputs (not Drive exports)

  • SocioLens claim — LD06-SL-C09 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 09 — LD06-SL-C09” SHA-256 bae3f2ff749552d988a6ddd0556f89eb8a2a8bead276f02be7ffabae54855b4c; fixture fixtures/authored/claims/LD06-SL-C09--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-C09 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-C09 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-SCLAR-CHOI-TSVETKOV-SUHR-ICLR-2024--v1.0 — basis: field 6 of ENTRY 09 — LD06-SL-C09 cites "Sclar, Choi, Tsvetkov & Suhr, “Quantifying Language Models’ Sensitivity to Spurious Features in Prompt Design,” ICLR 2024, arXiv:2310.11324"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
  • SOURCE_PROVENANCE_PIN = SRC-SL-SCLAR-CHOI-TSVETKOV-SUHR-ICLR-2024--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Sclar, Choi, Tsvetkov & Suhr, “Quantifying Language Models’ Sensitivity to Spurious Features in Prompt Design,” ICLR 2024, arXiv:2310.11324".