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@@ -96,7 +96,7 @@ Results indicate that instructions referring to the same target vary significant
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  Interestingly, despite these variations, the consistently high GPT scores across all task difficulty levels suggest that GPT-4o is robust in identifying the correct target in the image, regardless of differences in instruction phrasing.
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  (1) Gilles, Maximilian, et al. "Metagraspnetv2: All-in-one dataset enabling fast and reliable robotic bin picking via object relationship reasoning and dexterous grasping." IEEE Transactions on Automation Science and Engineering 21.3 (2023): 2302-2320.
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- (2) Reimers, Nils, and Iryna Gurevych. "Sentence-bert: Sentence embeddings using siamese bert-networks." arXiv preprint arXiv:1908.10084 (2019).
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  (3) Lin, Chin-Yew, and Franz Josef Och. "Automatic evaluation of machine translation quality using longest common subsequence and skip-bigram statistics." Proceedings of the 42nd annual meeting of the association for computational linguistics (ACL-04). 2004.(3)
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  ## Data Fields
 
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  Interestingly, despite these variations, the consistently high GPT scores across all task difficulty levels suggest that GPT-4o is robust in identifying the correct target in the image, regardless of differences in instruction phrasing.
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  (1) Gilles, Maximilian, et al. "Metagraspnetv2: All-in-one dataset enabling fast and reliable robotic bin picking via object relationship reasoning and dexterous grasping." IEEE Transactions on Automation Science and Engineering 21.3 (2023): 2302-2320.
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+ (2) Reimers, Nils, and Iryna Gurevych. "Sentence-bert: Sentence embeddings using siamese bert-networks." (2019).
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  (3) Lin, Chin-Yew, and Franz Josef Och. "Automatic evaluation of machine translation quality using longest common subsequence and skip-bigram statistics." Proceedings of the 42nd annual meeting of the association for computational linguistics (ACL-04). 2004.(3)
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  ## Data Fields