arXiv (All)
open access
Sci-CoE: Co-evolving Scientific Reasoning LLMs via Geometric Consensus with Sparse Supervision
Large language models (LLMs) have demonstrated exceptional reasoning capabilities, and co-evolving paradigms have shown promising results in domains with verifiable reward signals, such as code and math. However, in unverifiable domains, such as scientific reasoning, these methods remain fragile due
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Global Artificial Intelligence (GAI): Artificial Research By Deduction in SAIs#109689
- AgentDiscover: Autonomous Discovery with Minimal Search Scaffolding#1201347
- Eigen-Agent: Adaptive Multi-Agent Scientific Reasoning with Monitor-Based RAG#1344459
- AutoKD: Autonomous Knowledge Discovery#973947
- GraphCert: Bootstrap Agentic Graph Reasoning with Certified Evidence Rubrics#1143399
Record · ID 1423780
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive