Profile My skills Saved My plugins Edit profile Submit a skill

Inference Time Scaling Of Verification Self Evolvi

Implement techniques from Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification. While the majority of existing efforts focus on enhancing policy capabilities via post-training, we propose an alternative paradigm: self-evolving the agent's ability by iteratively verifying the policy model's outputs, guided by meticulously crafted rubrics

adu2021 Updated
AI & ML

File contents

Overview

This skill implements concepts from the research paper [2601.15808].

When to Use

  • When you need to implement techniques described in this paper
  • When working on problems that this research addresses
  • When you want to understand the core concepts and methodology

When NOT to Use

  • This skill provides research-level insights; production implementations may require additional engineering
  • Some concepts may require significant tuning for specific use cases
  • Always evaluate applicability to your specific problem domain

Key Concepts

The paper addresses: Recent advances in Deep Research Agents (DRAs) are transforming automated knowledge discovery and problem-solving. While the majority of existing efforts focus on enhancing policy capabilities via post-training, we propose an alternative paradigm: self-evolving the agent's ability by iteratively ver...

For detailed methodology and implementation details, refer to the full paper.

adu2021/skillxiv/tree/main/skills/skillxiv-v0.0.2-claude-opus-4.6/inference-time-scaling-of-verification-self-evolvi commit b957487a10

Browse category

Frequently asked questions

npx skillmds@latest add adu2021/inference-time-scaling-of-verification-self-evolvi