2 papers
cs.CV2026
Investigating Length Bias and Robustness in LVLMs for Multiple-Choice Question Answering
Md. Atabuzzaman, Hani Alomari, Chris Thomas
Large Vision-Language Models (LVLMs) demonstrate strong performance on multiple-choice question answering (MCQA), yet their reliability under biased conditions remains underexplore…
cs.CV2025
Benchmarking and Mitigating MCQA Selection Bias of Large Vision-Language Models
Md. Atabuzzaman, Ali Asgarov, Chris Thomas
Large Vision-Language Models (LVLMs) have achieved strong performance on vision-language tasks, particularly Visual Question Answering (VQA). While prior work has explored unimodal…