8 citations · 32 across the 11 of their papers we have counts for
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cs.CV2026
From Where Things Are to What They Are For: Benchmarking Spatial-Functional Intelligence in Multimodal LLMs
Le Zhang, Jihan Yang, Soundarya Krishnan +11
Human-level agentic intelligence extends beyond low-level geometric perception, evolving from recognizing where things are to understanding what they are for. While existing benchm…
cs.CV2023
Fairness in AI Systems: Mitigating gender bias from language-vision models
Lavisha Aggarwal, Shruti Bhargava
Our society is plagued by several biases, including racial biases, caste biases, and gender bias. As a matter of fact, several years ago, most of these notions were unheard of. The…
cs.CV2019★ 8 cited
Exposing and Correcting the Gender Bias in Image Captioning Datasets and Models
Shruti Bhargava, David Forsyth
The task of image captioning implicitly involves gender identification. However, due to the gender bias in data, gender identification by an image captioning model suffers. Also, t…