# 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 ...

- Skill: `adu2021/paper2rebuttal-a-multi-agent-framework-for` (Agent Skill)
- Install (CLI): `npx skillmds@latest add adu2021/paper2rebuttal-a-multi-agent-framework-for`
- Raw SKILL.md: https://api.skillmd.com/api/skills/adu2021/paper2rebuttal-a-multi-agent-framework-for/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- License: MIT
- Author: adu2021 (https://skillmd.com/u/adu2021)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/adu2021/paper2rebuttal-a-multi-agent-framework-for

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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

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