github search·shreyaskc-babeljudge
Shreyaskc/BabelJudge
Shreyaskc/BabelJudge: LLM-as-a-judge has become the dominant approach to scalable evaluation in NLP pipelines, yet judges themselves carry systematic biases that raw accuracy hides: they favor responses placed in slot A (position bias), they prefer longer responses regardless of quality (verbosity...
AgentScore
7.50.00
+0.00 vs 24h ago
Adoption0.0
Quality—
Momentum60.0
Community5.0
Quality unrated · weight redistributed
CapabilitiesCode Generation
DeploymentIde Plugin
MaturityExperimental
Score breakdown
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Pillar contributions
- GitHub stars0→ 0.0MCP registry listing0→ 0.0
Pillar = mean of 2 scaled values = 0.0.
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), Tech-news mentions (30d)
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
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Score envelope last computed 1d ago. Quality is Unrated — agent has no benchmark results yet.