CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks

  • 类型：arxiv
  • 标识：2608.06352
  • 链接：https://arxiv.org/abs/2608.06352
  • 主分类：agent
  • 形态：method
  • 被引：0
  • 被引来源：Semantic Scholar
  • S2被引：0
  • 影响力被引：0
  • TLDR：CalibForge is presented, an autonomous terminal-task synthesis system that uses verified solver behavior to revise candidate tasks through adversarial solver calibration and ablations show that both strategies yield more effective supervision than authoring and validation alone or ordinary single-solver feedback.
  • 待LLM分类：否
  • 标题中文：CalibForge：面向可学习终端任务扩展的对抗性求解器校准
  • TLDR中文：CalibForge 是一个面向终端任务的自动合成系统，利用已验证的求解器行为，通过对抗式求解器校准来修订候选任务；消融实验表明，两种策略都比仅靠人工撰写加验证、或普通单求解器反馈产生更有效的监督信号。
  • 来源文件：
  • /inbox/tom/_candidates/2026-08-07-agent-rag-longcontext-candidates.json
  • [S2 enrich]