1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2024
ODE: Open-Set Evaluation of Hallucinations in Multimodal Large Language Models
Yahan Tu, Rui Hu, Jitao Sang
Hallucination poses a persistent challenge for multimodal large language models (MLLMs). However, existing benchmarks for evaluating hallucinations are generally static, which may…
cs.CV2024
Prescribing the Right Remedy: Mitigating Hallucinations in Large Vision-Language Models via Targeted Instruction Tuning
Rui Hu, Yahan Tu, Shuyu Wei +2
Despite achieving outstanding performance on various cross-modal tasks, current large vision-language models (LVLMs) still suffer from hallucination issues, manifesting as inconsis…
cs.LG2023★ 1 cited
Echoes: Unsupervised Debiasing via Pseudo-bias Labeling in an Echo Chamber
Rui Hu, Yahan Tu, Jitao Sang
Neural networks often learn spurious correlations when exposed to biased training data, leading to poor performance on out-of-distribution data. A biased dataset can be divided, ac…