5 citations · 11 across the 5 of their papers we have counts for
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cs.CV2023★ 3 cited
GeomVerse: A Systematic Evaluation of Large Models for Geometric Reasoning
Mehran Kazemi, Hamidreza Alvari, Ankit Anand +3
Large language models have shown impressive results for multi-hop mathematical reasoning when the input question is only textual. Many mathematical reasoning problems, however, con…
cs.CL2023★ 5 cited
Non-Intrusive Adaptation: Input-Centric Parameter-efficient Fine-Tuning for Versatile Multimodal Modeling
Yaqing Wang, Jialin Wu, Tanmaya Dabral +8
Large language models (LLMs) and vision language models (VLMs) demonstrate excellent performance on a wide range of tasks by scaling up parameter counts from O(10^9) to O(10^{12})…