1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 1 cited
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding
Fei Wang, Xingyu Fu, James Y. Huang +18
We introduce MuirBench, a comprehensive benchmark that focuses on robust multi-image understanding capabilities of multimodal LLMs. MuirBench consists of 12 diverse multi-image tas…
cs.CL2023
Robust Natural Language Understanding with Residual Attention Debiasing
Fei Wang, James Y. Huang, Tianyi Yan +2
Natural language understanding (NLU) models often suffer from unintended dataset biases. Among bias mitigation methods, ensemble-based debiasing methods, especially product-of-expe…