Papers by Basem Rizk
Beyond Visual Understanding Introducing PARROT-360V for Vision Language Model Benchmarking (2025.coling-industry)
Copied to clipboard
| Challenge: | Current benchmarks for evaluating Vision Language Models (VLMs) often fail to thoroughly assess these models’ abilities to understand complex visual and textual content. |
| Approach: | They propose a benchmark that features 2487 visual puzzles designed to test VLMs on complex visual reasoning tasks. |
| Outcome: | The PARROT-360V Benchmark features 2487 visual puzzles designed to test VLMs on complex visual reasoning tasks. |
Can Language Model Moderators Improve the Health of Online Discourse? (2024.naacl-long)
Copied to clipboard
Hyundong Cho, Shuai Liu, Taiwei Shi, Darpan Jain, Basem Rizk, Yuyang Huang, Zixun Lu, Nuan Wen, Jonathan Gratch, Emilio Ferrara, Jonathan May
| Challenge: | Existing efforts to automate conversational moderation have focused on banning harmful comments or deleting them, but such efforts can inadvertently push users towards echo chambers that exacerbate polarization. |
| Approach: | They propose a framework to assess models’ moderation capabilities independently of human intervention and propose 'conversational moderation' they propose to use language models as conversational moderators to provide specific feedback on toxic behavior but struggle to influence users to increase their levels of respect and cooperation. |
| Outcome: | The proposed framework assesses models’ moderation capabilities independently of human intervention and shows that appropriately prompted models provide specific and fair feedback on toxic behavior but struggle to influence users to increase their levels of respect and cooperation. |