Verified claim · AI-ML · 100% confidence
AlpacaEval introduced in: Li et al. 2023 — LLM-as-judge evaluation benchmark.
Last verified 2026-05-16 · Methodology veritas-v0.1 · 2f14f3078741c0ad
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Structured fields
- Subject
- AlpacaEval
- Predicate
introduced_in- Object
- Li et al. 2023 — LLM-as-judge evaluation benchmark
- Confidence
- 100%
- Tags
- alpacaeval · alpaca · stanford · evaluation · llm-as-judge · 2023 · introduced_in
Sources (2)
[1] github release · Tatsu Lab / Stanford · 2023-05-25
AlpacaEval — automatic evaluator for instruction-following models“An Automatic Evaluator for Instruction-following Language Models. AlpacaEval, an LLM-based automatic evaluator that is based on the AlpacaFarm evaluation set, which tests the ability of models to follow general user instructions.”
[2] official blog · Tatsu Lab / Stanford · 2023-05-25
AlpacaEval Leaderboard
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AlpacaEval introduced in: Li et al. 2023 — LLM-as-judge evaluation benchmark. — SourceScore Claim 2f14f3078741c0ad (verified 2026-05-16). https://sourcescore.org/api/v1/claims/2f14f3078741c0ad.jsonEmbed this claim
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cURL
curl https://sourcescore.org/api/v1/claims/2f14f3078741c0ad.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/2f14f3078741c0ad.json");
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// "AlpacaEval introduced in: Li et al. 2023 — LLM-as-judge evaluation benchmark."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/2f14f3078741c0ad.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "AlpacaEval introduced in: Li et al. 2023 — LLM-as-judge evaluation benchmark."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_alpacaeval_fact() -> dict:
"""Fetch the verified SourceScore claim for AlpacaEval."""
r = httpx.get("https://sourcescore.org/api/v1/claims/2f14f3078741c0ad.json")
return r.json()