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
7.2-0.33
-0.33 vs 24h ago
Adoption1.7
Quality—
Momentum50.0
Community5.0
Quality unrated · weight redistributed
Holding · 1.00×
CapabilitiesCode Generation
DeploymentIde Plugin
MaturityExperimental
Score breakdown
Headline plus the four pillars over time. Click any pillar below to see the signals feeding it.
Not enough score history in this window yet — try a wider one.
Pillar contributions
- GitHub stars1→ 5.0SO questions (7d)0→ 0.0
Pillar = mean of 2 scaled values = 1.7.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: PyPI monthly installs, 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, MCP registry listing
Embed badgeShow your AgentTape rank on your project README
Markdown
[](https://agenttape.com/agents/shreyaskc-babeljudge)
HTML
<a href="https://agenttape.com/agents/shreyaskc-babeljudge"><img src="https://agenttape.com/api/badge/shreyaskc-babeljudge.svg" alt="AgentTape" /></a>
Similar
Vibe-search via embedding cosine
Score envelope last computed 6h ago. Quality is Unrated — agent has no benchmark results yet.