Papers with Code Launches MCP Server, Showcases AI-Driven Architecture Research

Hugging Face 1 hour ago

Key Info

Hugging Face highlighted the release of a Papers with Code MCP server, with researcher Niels Rogge demonstrating how Claude Code can use its search_papers tool to investigate the architecture of the AI model Jev by typesafeai.

Highlights

A new MCP server for Papers with Code makes academic paper search accessible to AI coding agents.
The demo shows an AI agent synthesizing Jev's likely design from public papers, citing GLiNER/ML-Decoder and RLCR-style approaches.
This reflects a broader trend of using AI assistants to automate literature research and model analysis.

Original post

RT @NielsRogge: Introducing the Papers with Code MCP server! To celebrate its release, I've asked Claude Code to research the architecture of Jev by @typesafeai using the `search_papers` tool. Here's what it came up with: "If Jev is architecturally anything public, it's a large schema-conditioned bidirectional encoder with parallel label-query heads (GLiNER/ML-Decoder shape) trained with a proper-scoring-rule RL objective (RLCR shape), scaled far past the ~150M-param range those papers operate in — "neither small nor an LLM" fits that. The 40–200× speedup is consistent with removing autoregression, not with any exotic mechanism."

#Papers with Code#MCP server#Claude Code

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