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Update descriptions for gradio
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README.md
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# AgentReview
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Official implementation for the 🔗[EMNLP 2024](https://2024.emnlp.org/) main track (Oral) paper -- [AgentReview: Exploring Peer Review Dynamics with LLM Agents](https://arxiv.org/abs/2406.12708)
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* 📄 Paper: [https://arxiv.org/abs/2406.12708](https://arxiv.org/abs/2406.12708)
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unzip AgentReview_Paper_Data.zip -d data/
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```
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(Optional) Unzip [AgentReview_LLM_Reviews.zip](https://www.dropbox.com/scl/fi/ckr0hpxyedx8u9s6235y6/AgentReview_LLM_Reviews.zip?rlkey=cgexir5xu38tm79eiph8ulbkq&st=q23x2trr&dl=0) under `outputs/`, which contains
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1. The LLM-generated reviews, (our LLM-generated dataset)
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```bash
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unzip AgentReview_LLM_Review.zip -d outputs/
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# AgentReview
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Official implementation for the 🔗[EMNLP 2024](https://2024.emnlp.org/) main track (Oral) paper -- **[AgentReview: Exploring Peer Review Dynamics with LLM Agents](https://arxiv.org/abs/2406.12708)**
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[💡Demo](https://huggingface.co/spaces/Ahren09/AgentReview) | [🌐 Website](https://agentreview.github.io/) | [📄 Paper](https://aclanthology.org/2024.emnlp-main.70/) | [🔗arXiv](https://arxiv.org/abs/2406.12708) | [💻Code](https://github.com/Ahren09/AgentReview)
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unzip AgentReview_Paper_Data.zip -d data/
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```
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(Optional) Unzip [AgentReview_LLM_Reviews.zip](https://www.dropbox.com/scl/fi/ckr0hpxyedx8u9s6235y6/AgentReview_LLM_Reviews.zip?rlkey=cgexir5xu38tm79eiph8ulbkq&st=q23x2trr&dl=0) under `outputs/`, which contains the LLM-generated reviews, (our LLM-generated dataset)
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```bash
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unzip AgentReview_LLM_Review.zip -d outputs/
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app.py
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with gr.Column(elem_id="col-container"):
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gr.Markdown(
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"""
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elem_id="header",
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)
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with gr.Column(elem_id="col-container"):
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gr.Markdown(
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"""
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# [AgentReview](https://arxiv.org/abs/2406.12708) 🎓
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Simulate conference reviews on your own papers using LLM agents.
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**[🌐Homepage](https://github.com/Ahren09/AgentReview)** | **[💻Code](https://github.com/Ahren09/AgentReview)** | **[
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📄Paper](https://aclanthology.org/2024.emnlp-main.70/)** | **[🔗arXiv](https://arxiv.org/abs/2406.12708)**
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""",
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elem_id="header",
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)
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