model evaluation 1multimodal language models 1prompt engineering 1spurious correlations 1visual bias 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CV2026
SpurLens: Automatic Detection of Spurious Cues in Multimodal LLMs
Parsa Hosseini, Sumit Nawathe, Mazda Moayeri +2
The paper introduces SpurLens, an automated pipeline that uses GPT-4 and open-set object detectors to find spurious visual cues in multimodal large language models, showing that th…
cs.CL2025
DyePack: Provably Flagging Test Set Contamination in LLMs Using Backdoors
Yize Cheng, Wenxiao Wang, Mazda Moayeri +1
Open benchmarks are essential for evaluating and advancing large language models, offering reproducibility and transparency. However, their accessibility makes them likely targets…
cs.CV2025
Improving Compositional Attribute Binding in Text-to-Image Generative Models via Enhanced Text Embeddings
Arman Zarei, Keivan Rezaei, Samyadeep Basu +4
Text-to-image diffusion-based generative models have the stunning ability to generate photo-realistic images and achieve state-of-the-art low FID scores on challenging image genera…