arXiv (All)
open access
J-Zero: Unified Challenger--Solver--Judge Self-Evolution from Zero Data
Self-evolving language models have recently emerged as a promising path toward superintelligence, with the advantage of reducing the cost of human supervision. While considerable progress has been made in verifiable domains, self-evolution in unverifiable domains remains less explored. We propose Ju
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
- Teaching Large Language Models to Self-Debug#16590
- Task Abstention for Large Language Models in Code Generation#200576
- Reasoning through Evolution: Automatic Meta-path Discovery for LLM-based Fake News Detection#1012774
- Reasoning through Evolution: Automatic Meta-path Discovery for LLM-based Fake News Detection#965437
- Detecting Inconsistencies in Model Specifications with LLM-as-Verifier Reasoning#1169612
Record · ID 1076943
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