github search·rucbm-tips
RUCBM/TIPS
RUCBM/TIPS: Process reward models (PRMs) have become a key component for LLMs, as their step-level feedback supports both post-training and test-time reasoning. However, training strong PRMs remains costly: human step annotation is difficult to scale, while Monte Carlo estimation is compu...
AgentScore
21.6+0.39
+0.39 vs 24h ago
Adoption12.7
Quality50.0
Momentum50.0
Community5.0
Unrated pillars contribute zero
CapabilitiesCode GenerationVision
DeploymentLibrary
MaturityExperimental
Score breakdown
Headline plus the four pillars over time. Click any pillar below to see the signals feeding it.
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Pillar contributions
- GitHub stars1→ 5.0Tech-news mentions (30d)+100.0%2→ 16.0
Pillar = mean of 2 scaled values = 12.7.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: PyPI monthly installs, SO questions (7d), Product Hunt upvotes, Docker Hub pulls, Crates.io downloads (90d)
Not applicable — this agent doesn't have the prerequisite (no GitHub repo, no HF mirror, etc.) for these signals to ever apply: HF downloads (30d), npm weekly installs, MCP registry listing
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