arxiv
PublishedApril 10, 2026 at 4:00 AM
▲bullish
QA-MoE: Towards a Continuous Reliability Spectrum with Quality-Aware Mixture of Experts for Robust Multimodal Sentiment Analysis
Publisher summary· verbatim
arXiv:2604.05704v2 Announce Type: replace Abstract: Multimodal Sentiment Analysis (MSA) aims to infer human sentiment from textual, acoustic, and visual signals. In real-world scenarios, however, multimodal inputs are often compromised by dynamic noise or modality missingness. Existing methods typic
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivA Consensus-Based Framework for Relative Preference Evaluation of Large Language Models10harxivProbing Latent Colombian Identity Inferences in Qwen2.5-7B with Natural Language Autoencoders10harxivData Quality over Capacity: Internalizing Documents into LoRA Adapters for Closed-Book QA10harxivEnjoy Your Talk: A Human-Centered Benchmark for Multi-Turn Dialogue with Decoupled User Simulation, Target Modeling, and Judging10hThe Bubble Brief
WEEKLYRead multimodal-sentiment-analysis insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗