Verified claim · AI-ML · 92% confidence
LiveCodeBench introduced in paper: LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code (Jain et al., 2024).
Last verified 2026-05-31 · Methodology veritas-v0.1 · b474cbe11ab65d51
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Structured fields
- Subject
- LiveCodeBench
- Predicate
introduced_in_paper- Object
- LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code (Jain et al., 2024)
- Confidence
- 92%
- Tags
- livecodebench · benchmark · evaluation · code · contamination-free · jain · 2024
Sources (3)
[1] preprint · arXiv (Naman Jain et al.) · 2024-03-12
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code“In this work, we propose LiveCodeBench, a comprehensive and contamination-free evaluation of LLMs for code”
[2] github release · LiveCodeBench · 2024-03-12
LiveCodeBench official repository[3] docs · Hugging Face
LiveCodeBench (Hugging Face Papers)Hugging Face is rated by SourceScore — see its reliability →
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curl https://sourcescore.org/api/v1/claims/b474cbe11ab65d51.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/b474cbe11ab65d51.json");
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console.log(envelope.claim.statement);
// "LiveCodeBench introduced in paper: LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code (Jain et al., 2024)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/b474cbe11ab65d51.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "LiveCodeBench introduced in paper: LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code (Jain et al., 2024)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_livecodebench_fact() -> dict:
"""Fetch the verified SourceScore claim for LiveCodeBench."""
r = httpx.get("https://sourcescore.org/api/v1/claims/b474cbe11ab65d51.json")
return r.json()