paper2rebuttal-a-multi-agent-framework-for

name	paper2rebuttal-a-multi-agent-framework-for
title	Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response Generation
version	0.0.2
engine	skillxiv-v0.0.2-claude-opus-4.6
license	MIT
url	https://arxiv.org/abs/2601.14171
keywords	["Agent"]
description	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 ...

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

• Paper: https://arxiv.org/abs/2601.14171
• PDF: https://arxiv.org/pdf/2601.14171