Update README.md

README.md

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-# EmbodiedAgent
-
-Model release for paper: *EmbodiedAgent: A Scalable Hierarchical Approach to Overcome Practical Challenge in Multi-Robot Control*
-
-![figure](./figure.png)
-
-
-
-
-
-# Results
-
-| Model | Infer type | ASR_{top-k} | Expert grading | UE | PoE | PlE | SE | EE | RPAS|
-| ---- | ---- | ---- | ---- | ---- | ---- | ---- | ---- | ---- | ---- |
-|GPT-4o | FPS | 9.03 | 31.25 | 0.00 | 0.00 | 6.25 | 93.75 | 0.00 | 20.14 |
-|OpenAI-o1 | FPS | 6.74 | 34.38 | 0.00 | 0.00 | 3.12 | 96.88 | 0.00 | 20.56|
-|Claude-3.5-Sonnet | FPS | 37.5 | 32.19 | 0.00 | 0.00 | 0.00 | 0.00 | 62.5 | 34.85 |
-|Deepseek-R1 | FPS | 61.87 | 64.84 | 0.00 | 18.75 | 15.62 | 0.00 | 18.75 | 63.36|
-|Deepseek-R1-Distill-Llama3.3-70B | NAP | 33.70 | 60.00 | 3.12 | 59.38 | 3.12 | 0.00 | 21.88 | 46.85|
-|LLaMA-3.1-8B | NAP | 16.56 | 43.44 | 3.12 | 71.88 | 50.00 | 18.75 | 3.12 | 30.00 |
-|LLaMA-3.1-70B | NAP | 27.50 | 40.94 | 0.00 | 9.38 | 87.5 | 62.5 | 21.88 | 34.22 |
-|LLaMA-3.1-405B | NAP | 34.24 | 61.09 | 28.12 | 46.88 | 6.25 | 0.00 | 0.00 | 47.67 |
-|LLaMA-3.3-70B | NAP | 46.02 | 60.31 | 0.00 | 48.48 | 39.39 | 15.15 | 6.06 | 53.26 |
-|Gemma-2-9B | NAP | 17.36 | 29.06 | 31.25 | 34.38 | 25.0 | 0.00 | 6.25 | 23.21 |
-|Qwen2.5-7B | NAP | 9.17 | 10.94 | 3.12 | 15.62 | 90.62 | 0.00 | 6.25 | 10.06 |
-|Qwen2.5-72B | NAP | 40.42 | 50.62 | 0.00 | 56.25 | 18.75 | 0.00 | 6.25 | 45.52 |
-|MAP-Neo-7B-Multiplan | FPS | 46.39 | 44.22 | 21.88 | 28.12 | 25.0 | 6.25 | 3.12 | 45.31 |
-|EmbodiedAgent (Ours) | NAP | **74.01** | **69.69** | 9.38 | 15.62 | 3.12 | 9.38 | 0.00 | **71.85** |
-
-
-
-
-
-# Links
-
-Code: [EmbodiedAgent](https://github.com/HaronW/EmbodiedAgent)
-
-Dataset: [MultiPlan+](https://github.com/HaronW/MultiPlan_plus)
-
-Model weight: [LLaMA-3.1-8B-Multiplan_Plus_NAP](https://huggingface.co/HaronW/LLaMA-3.1-8B-Multiplan_Plus_NAP)
-
-
-
-
-
-# License
-
-EmbodiedAgent is released under the llama3.1 License. See the LICENSE file for more details.
+---
+license: llama3.1
+language:
+- en
+base_model:
+- meta-llama/Llama-3.1-8B-Instruct
+pipeline_tag: robotics
+---
+# EmbodiedAgent
+
+Model release for paper: *EmbodiedAgent: A Scalable Hierarchical Approach to Overcome Practical Challenge in Multi-Robot Control*
+
+![figure](./figure.png)
+
+
+
+
+
+# Results
+
+| Model | Infer type | ASR_{top-k} | Expert grading | UE | PoE | PlE | SE | EE | RPAS|
+| ---- | ---- | ---- | ---- | ---- | ---- | ---- | ---- | ---- | ---- |
+|GPT-4o | FPS | 9.03 | 31.25 | 0.00 | 0.00 | 6.25 | 93.75 | 0.00 | 20.14 |
+|OpenAI-o1 | FPS | 6.74 | 34.38 | 0.00 | 0.00 | 3.12 | 96.88 | 0.00 | 20.56|
+|Claude-3.5-Sonnet | FPS | 37.5 | 32.19 | 0.00 | 0.00 | 0.00 | 0.00 | 62.5 | 34.85 |
+|Deepseek-R1 | FPS | 61.87 | 64.84 | 0.00 | 18.75 | 15.62 | 0.00 | 18.75 | 63.36|
+|Deepseek-R1-Distill-Llama3.3-70B | NAP | 33.70 | 60.00 | 3.12 | 59.38 | 3.12 | 0.00 | 21.88 | 46.85|
+|LLaMA-3.1-8B | NAP | 16.56 | 43.44 | 3.12 | 71.88 | 50.00 | 18.75 | 3.12 | 30.00 |
+|LLaMA-3.1-70B | NAP | 27.50 | 40.94 | 0.00 | 9.38 | 87.5 | 62.5 | 21.88 | 34.22 |
+|LLaMA-3.1-405B | NAP | 34.24 | 61.09 | 28.12 | 46.88 | 6.25 | 0.00 | 0.00 | 47.67 |
+|LLaMA-3.3-70B | NAP | 46.02 | 60.31 | 0.00 | 48.48 | 39.39 | 15.15 | 6.06 | 53.26 |
+|Gemma-2-9B | NAP | 17.36 | 29.06 | 31.25 | 34.38 | 25.0 | 0.00 | 6.25 | 23.21 |
+|Qwen2.5-7B | NAP | 9.17 | 10.94 | 3.12 | 15.62 | 90.62 | 0.00 | 6.25 | 10.06 |
+|Qwen2.5-72B | NAP | 40.42 | 50.62 | 0.00 | 56.25 | 18.75 | 0.00 | 6.25 | 45.52 |
+|MAP-Neo-7B-Multiplan | FPS | 46.39 | 44.22 | 21.88 | 28.12 | 25.0 | 6.25 | 3.12 | 45.31 |
+|EmbodiedAgent (Ours) | NAP | **74.01** | **69.69** | 9.38 | 15.62 | 3.12 | 9.38 | 0.00 | **71.85** |
+
+
+
+
+
+# Links
+
+Code: [EmbodiedAgent](https://github.com/HaronW/EmbodiedAgent)
+
+Dataset: [MultiPlan+](https://github.com/HaronW/MultiPlan_plus)
+
+Model weight: [LLaMA-3.1-8B-Multiplan_Plus_NAP](https://huggingface.co/HaronW/LLaMA-3.1-8B-Multiplan_Plus_NAP)
+
+
+
+
+
+# License
+
+EmbodiedAgent is released under the llama3.1 License. See the LICENSE file for more details.