3 citations · 8 across the 15 of their papers we have counts for
3 papers · 1 filter
Evaluating the Generation of Spatial Relations in Text and Image Generative Models
Shang Hong Sim, Clarence Lee, Alvin Tan +1
Understanding spatial relations is a crucial cognitive ability for both humans and AI. While current research has predominantly focused on the benchmarking of text-to-image (T2I) m…
Super Tiny Language Models
Dylan Hillier, Leon Guertler, Cheston Tan +3
The rapid advancement of large language models (LLMs) has led to significant improvements in natural language processing but also poses challenges due to their high computational a…
Can LLMs perform structured graph reasoning?
Palaash Agrawal, Shavak Vasania, Cheston Tan
Pretrained Large Language Models (LLMs) have demonstrated various reasoning capabilities through language-based prompts alone, particularly in unstructured task settings (tasks pur…