Safetensors
English

CEP Framework

Paper • Data • Environment • Code

This repository contains the checkpoint for the CEP framework in our EMNLP 2024 Paper, Ask-before-Plan: Proactive Language Agents for Real-World Planning.
We release our CEP models, including LLaMA-3-8B and Mistral-7B variants, finetuned on Clarification and Execution subtasks.

Get Started

  1. Download our checkpoints.
git lfs install
git clone https://huggingface.co/magicgh/CEP
  1. OpenAI compatible servers.
python3 -m vllm.entrypoints.openai.api_server
  --served-model-name ${model_name}
  --model ${model}
  --kv-cache-dtype fp8
  --port ${port}
  --enable-lora
  --lora-modules ${lora_models}
  --chat-template ${chat_template}

Citation

If you find our research helpful for your work, please star this repository and cite our paper:

@article{ask-before-plan,
    author = {Xuan Zhang and Yang Deng and Zifeng Ren and See-Kiong Ng and Tat-Seng Chua},
    journal = {ArXiv preprint},
    title = {Ask-before-Plan: Proactive Language Agents for Real-World Planning},
    url = {https://arxiv.org/abs/2406.12639},
    year = {2024}
}
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference API
Unable to determine this model's library. Check the docs .

Model tree for magicgh/CEP

Finetuned
(485)
this model

Dataset used to train magicgh/CEP