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Paper2rebuttal A Multi Agent Framework For

Writing effective rebuttals is a high-stakes task that demands more than linguistic fluency, as it requires precise alignment between reviewer intent and manuscript details. Current solutions typically treat this as a direct-to-text generation problem, suffering from hallucination, overlooked critiques, and a lack of verifiable grounding. To address these limitations, we introduce $ extbf{RebuttalAgent}$, the first multi-agents framework that reframes rebuttal generation as an evidence-centric ...

adu2021 0937842 1.2 KB Updated
AI & ML

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Overview

This skill covers paper2rebuttal: a multi-agent framework for transparent author response generation. It addresses critical challenges in autonomous agent development.

Key Concepts

The paper introduces novel approaches to:

  • Agent evaluation and benchmarking
  • Improving agent efficiency and reasoning
  • Designing robust agent systems

When to Use

Use this when working on:

  • Agent-based systems and evaluation
  • Autonomous reasoning and planning
  • Multi-agent frameworks

When NOT to Use

  • Non-agent applications
  • Tasks requiring implementation code (see the paper)

References

adu2021/skillxiv/tree/main/skills/skillxiv-v0.0.2-claude-opus-4.6/paper2rebuttal-a-multi-agent-framework-for commit 093784237c

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