Verified claim · AI-ML · 92% confidence
Group Relative Policy Optimization (GRPO) introduced in paper: DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models (Shao et al., 2024).
Last verified 2026-05-31 · Methodology veritas-v0.1 · f73e50d63643df21
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Structured fields
- Subject
- Group Relative Policy Optimization (GRPO)
- Predicate
introduced_in_paper- Object
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models (Shao et al., 2024)
- Confidence
- 92%
- Tags
- grpo · group-relative-policy-optimization · deepseekmath · reinforcement-learning · rlhf · reasoning · shao · 2024 · deepseek
Sources (3)
[1] preprint · arXiv (Shao, Wang, Zhu, Xu, Song, Bi, Zhang, Zhang, Li, Wu, Guo — DeepSeek AI) · 2024-02-05
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models“We introduce Group Relative Policy Optimization (GRPO), a variant of Proximal Policy Optimization (PPO),”
[2] github release · DeepSeek AI · 2024-02-05
DeepSeek-Math reference implementation[3] docs · Hugging Face
DeepSeekMath (Hugging Face Papers)Hugging Face is rated by SourceScore — see its reliability →
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Group Relative Policy Optimization (GRPO) introduced in paper: DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models (Shao et al., 2024). — SourceScore Claim f73e50d63643df21 (verified 2026-05-31). https://sourcescore.org/api/v1/claims/f73e50d63643df21.jsonEmbed this claim
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Frequently asked questions
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Yes — SourceScore verified this claim with 92% confidence as of 2026-05-31. The verification uses 3 primary sources cross-referenced against the SourceScore methodology (version veritas-v0.1). Full source list + signed JSON envelope linked below.
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Evidence comes from 3 primary sources: arXiv (Shao, Wang, Zhu, Xu, Song, Bi, Zhang, Zhang, Li, Wu, Guo — DeepSeek AI), DeepSeek AI, Hugging Face. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/f73e50d63643df21.json includes an HMAC-SHA256 signature for audit verification.
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// "Group Relative Policy Optimization (GRPO) introduced in paper: DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models (Shao et al., 2024)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/f73e50d63643df21.json")
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print(envelope["claim"]["statement"])
# "Group Relative Policy Optimization (GRPO) introduced in paper: DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models (Shao et al., 2024)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_group_relative_policy_optimization_grpo_fact() -> dict:
"""Fetch the verified SourceScore claim for Group Relative Policy Optimization (GRPO)."""
r = httpx.get("https://sourcescore.org/api/v1/claims/f73e50d63643df21.json")
return r.json()