- Evaluating and Steering Modality Preferences in Multimodal Large Language Model
- [2025.5] [evaluating] [steering] [model preference]
- WHY FOUNDATION MODELS STRUGGLE WITH CROSS-MODAL CONTEXT
- [2025.3] [COLM2025] [evaluating] [multilingual] [model bias]
- MLLMs are Deeply Affected by Modality Bias
- [2025.5] [evaluating] [model bias]
- How Do Vision-Language Models Process Conflicting Information Across Modalities?
- [2025.6] [evaluating] [multimodal] [model bias]
- When Language Overrules: Revealing Text Dominance in Multimodal Large Language Models
- [2025.8] [evaluating] [modality bias] [video audio Graph Time-series]
- INSIGHT OVER SIGHT? EXPLORING THE VISIONKNOWLEDGE CONFLICTS IN MULTIMODAL LLMS
- [2024.10] [ACL2025] [evaluating] [vision vs knowledge]
- DO VISION & LANGUAGE DECODERS USE IMAGES ANDTEXT EQUALLY? HOW SELF-CONSISTENT ARE THEIR EXPLANATIONS?
- [2024.4] [ICLR2025] [evaluating] [model bias]
- MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs
- [2024.6] [2024.10] [evaluating] [model bias]
- VLind-Bench: Measuring Language Priors in Large Vision-Language Models
- [2024.6] [NAACL 2025 Findings] [evaluating] [language prior]
- Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models
- [2024.8] [AAAI2025] [evaluating] [model bias]
- IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations
- [2024.8] [COLM2024] [evaluating]