Papers by Apoorv Khandelwal
Analyzing Modular Approaches for Visual Question Decomposition (2023.emnlp-main)
Copied to clipboard
| Challenge: | Modular neural networks without additional training have been shown to surpass end-to-end neural networks on challenging vision–language tasks. |
| Approach: | They propose to use BLIP-2-based modular neural networks without additional training to build programs and a number of skill-specific, task-oriented modules to execute them. |
| Outcome: | The proposed methods outperform end-to-end neural networks on vision language tasks and retain performance when they use task-agnostic selections. |