Papers by Mohamed Hendy
Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs (2026.acl-long)
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| Challenge: | Current sycophancy research has largely overlooked its specific manifestations in the video-language domain. |
| Approach: | They propose a video-LLM sycophancy benchmarking and evaluation to evaluate scophancies in video-LLMs. |
| Outcome: | The proposed benchmark evaluates sycophantic behavior in state-of-the-art Video-LLMs across diverse question formats, prompt biases, and visual reasoning tasks. |
Domain Specific Sub-network for Multi-Domain Neural Machine Translation (2022.aacl-short)
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| Challenge: | Neural machine translation (NMT) is based on transformer models that are trained on general data from a single language pair or multiple languages. |
| Approach: | They propose a method to make masks unique per domain to improve generalization to unseen domains. |
| Outcome: | The proposed method outperforms continue training on multi-domain data on German to English translation by 1.47 BLEU points and on new domains by 1.52 BLUE points. |