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PR #247 #246 #245 #244 #243 #265

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LongquanJiang
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@xixi019 xixi019 requested a review from DavidBlavid June 20, 2024 10:00
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Issues #245 #244 #243 look good. I did not find anything for Issues #247 and #246 though. Were these systems already on the leaderboard, or what is the reason they are not included?

I also marked minor formatting changes, but the content looks correct.

| EffiQA w/ChatGPT | 2024 | 65.7 | - | - | - | - | EN | [Dong et al.](https://arxiv.org/pdf/2406.01238) |
| EffiQA w/GPT-4 | 2024 | 76.5 | - | - | - | - | EN | [Dong et al.](https://arxiv.org/pdf/2406.01238) |
| Prior FT SOTA | 2024 | 85.8 | - | - | - | - | EN | [Dong et al.](https://arxiv.org/pdf/2406.01238) |
| Prior Prompting SOTA | 2024 | - | - | - | - | - | EN | [Dong et al.](https://arxiv.org/pdf/2406.01238) |
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This row has no evaluation value. Should we remove it?

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Yes, already remove

systems.md Outdated
| JarvisQALcs | Jaradeh et al. | [Link](https://arxiv.org/pdf/2006.01527) | no | | | same as reporting paper | JarvisQA a BERT based system to answer questions on tabular views of scholarly knowledge graphs. | Jaradeh et al. |
| EffiQA | Dong et al. | [Link](https://arxiv.org/pdf/2406.01238) | no | - | [Link](https://arxiv.org/pdf/2406.01238) | EffiQA is a new integration paradigm of LLMs and KGs for multi-step reasoning. Through an iterative paradigm of global LLM planning, efficient KG exploration, and selfreflection, EffiQA balances leveraging LLM capabilities with maintaining computational efficiency. The global planning outlines promising trajectories and generates instructions to guide semantic pruning during efficient KG traversal, reducing search spaces. | Hu et al. |
| Generate-onGraph (GoG) | Xu et al. | [Link](https://arxiv.org/pdf/2404.14741) | no | no | [Link](https://arxiv.org/pdf/2404.14741) | Generate-onGraph (GoG) can effectively integrate the external and inherent knowledge of LLMs | [Link](https://arxiv.org/pdf/2404.14741) |
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Just a minor thing. When no Code/Demo etc. is linked, we set it to '-', not 'no'

| EffiQA w/ChatGPT | 2024 | 46.2 | - | - | - | EN | [Dong et al.](https://arxiv.org/pdf/2406.01238) |
| EffiQA w/GPT-4 | 2024 | 51.4 | - | - | - | EN | [Dong et al.](https://arxiv.org/pdf/2406.01238) |
| Prior FT SOTA | 2024 | 45.4 | - | - | - | EN | [Dong et al.](https://arxiv.org/pdf/2406.01238) |
| Prior Prompting SOTA | 2024 | - | - | - | - | EN | [Dong et al.](https://arxiv.org/pdf/2406.01238) |
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This row has no evaluation value. Remove?

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Also please fix ordering according to Hits@1

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Already removed

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5 participants