Madhavan Iyengar commited on
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7636bed
1 Parent(s): bef291e

update title

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  1. src/about.py +12 -2
src/about.py CHANGED
@@ -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">Demo leaderboard</h1>"""
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  # What does your leaderboard evaluate?
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  INTRODUCTION_TEXT = """
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- Intro text
 
 
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  """
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  # Which evaluations are you running? how can people reproduce what you have?
@@ -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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  """