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Madhavan Iyengar
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7636bed
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Parent(s):
bef291e
update title
Browse files- src/about.py +12 -2
src/about.py
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@@ -21,11 +21,13 @@ NUM_FEWSHOT = 0 # Change with your few shot
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# Your leaderboard name
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TITLE = """<h1 align="center" id="space-title">
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# What does your leaderboard evaluate?
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INTRODUCTION_TEXT = """
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-
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"""
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# Which evaluations are you running? how can people reproduce what you have?
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@@ -69,4 +71,12 @@ If everything is done, check you can launch the EleutherAIHarness on your model
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CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
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CITATION_BUTTON_TEXT = r"""
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"""
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# Your leaderboard name
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TITLE = """<h1 align="center" id="space-title">3D-POPE Leaderboard</h1>"""
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# What does your leaderboard evaluate?
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INTRODUCTION_TEXT = """
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To systematically evaluate the hallucination behavior of 3D-LLMs, we introduce the 3D Polling-based
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Object Probing Evaluation (3D-POPE) benchmark. 3D-POPE is designed to assess a model's ability
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to accurately identify the presence or absence of objects in a given 3D scene.
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"""
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# Which evaluations are you running? how can people reproduce what you have?
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CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
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CITATION_BUTTON_TEXT = r"""
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@misc{yang20243dgrand,
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title={3D-GRAND: Towards Better Grounding and Less Hallucination for 3D-LLMs},
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author={Jianing Yang and Xuweiyi Chen and Nikhil Madaan and Madhavan Iyengar and Shengyi Qian and David F. Fouhey and Joyce Chai},
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year=\{2024\},
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eprint={2406.05132},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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}
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"""
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