Ali Abusaleh

Qwen3-1.7B can outperform human participants in knowledge assessments when fine-tuned on individual text corpora, but struggles with calibration and non-public questions.

Negation detection in multimodal systems is fundamentally flawed, with pretrained models missing a generalizable signal, but a new attention architecture bridges this gap, enhancing performance significantly.