Overview

The field studies why models combining inputs such as images, text, audio, and sensor data may let one modality dominate, weakening robustness when inputs are noisy, missing, or in conflict. This matters in settings from sentiment analysis and audio-visual speech recognition to remote sensing and vision-language systems, where useful information can be overlooked. Approaches include gradient and loss reweighting, reliability-aware gating, modality dropout and curricula, representation alignment, and benchmarks that measure each modality’s contribution. A central tension is whether to equalize modalities or prioritize the most useful one: gradient norms and confidence are imperfect proxies for value, and the best balance can depend on the task and data.

Latest papers

CardsList

33 papers1 paper in the last four weeks, down 80% on the four weeks before. 0.0% of all new papers.

  1. Layer Roles Matter: Mitigating Modality Imbalance in Multimodal Emotion Reasoning via Adaptive Layer Profiling

    Nov 9, 2026Pengyu Huang, Peipei Song, Beier Zhu +3Modality ImbalanceMultimodal Reasoning

  2. Probe-Guided Gradient Balancing for Multimodal Learning

    Nov 2, 2026Vu Vo, Haytham M. Fayek, Thuy NguyenModality ImbalanceModality Reliance in Multimodal Models

  3. Confidence Falls Short: Asymmetric Certainty Gains from Optimization Hinder Multimodal Classification

    Sep 23, 2026Longfei Huang, Xiangyu Wu, Yang YangModality ImbalanceMultimodal Optimization

  4. Reassessing Global Gradient-Norm Imbalance in BLIP Fine-Tuning Across Physical Domains

    Sep 20, 2026Kiran Naseer, Samreen Azhar, Dwarikanath MahapatraImage CaptioningVLM Adaptation

  5. GeoBalance: Geometry-Aware Monitoring and Reconstruction with Asymmetric Optimization for Balanced Multimodal Learning

    Sep 20, 2026Zechang Xiong, Da Li, Rong Yin +7Modality ImbalanceGeometric Representation Learning

  6. The Illusion of Balanced Multimodal Sentiment Analysis: Beyond the Limits of Optimization-Based Methods

    Sep 10, 2026Ioanna Kaffeza, Efthymios Georgiou, Alexandros PotamianosModality ImbalanceMultimodal Optimization

  7. MM-Spectrum: Multimodal Multi-spectral Molecular Structural Elucidation with a Stable MoE Framework

    Aug 27, 2026Hai-tao Yu, Nan Min, Zheng Fang +4Multimodal FusionModality Imbalance

  8. CAT-GS: Balanced Multimodal Learning via Calibrated Gating and Fusion Surgery

    Aug 24, 2026Mahir Shahriar Tamim, Sharjil Khan, Md. Samiul Alim +3Multimodal UnderstandingCross-Modal Learning

  9. C3^3PO: Evaluating Cross-Modal Composition and Counterfactual Performance in Omnimodal Models

    Aug 5, 2026Swapnanil Mukherjee, Agyeya Negi, Tanuja Ganu +1Modality ImbalanceMultimodal Reasoning

  10. OPD-V: Visual On-Policy Self-Distillation with Modality Balance

    Aug 5, 2026Aniri, Jinhe Bi, Peng Liao +5Modality ImbalanceOn-Policy Self-Distillation

  11. Beyond Modality Fusion: Deep Ensembles for Multimodal Classification

    Jul 6, 2026Ilya Burenko, Dmitry VetrovModality ImbalanceMultimodal Classification

  12. Pareto LoRA: Mitigating Modality Imbalance in Unified Multimodal Models via Pareto-Optimal Gradient Integration

    Jun 15, 2026Xiwen Wei, Mark Nutter, Madhusudhanan Srinivasan +1Unified Multimodal ModelsModality Imbalance

  13. Beyond Symmetric Alignment: Spectral Diagnostics of Modality Imbalance in Vision-Language Models in the Medical Domain

    Jun 3, 2026Alessandro Gambetti, Qiwei Han, Cláudia Soares +1VLM EvaluationModality Imbalance

  14. A Conflict-Aware Penalty and Statistical Loss Framework for Balancing Modalities and Enhancing Stability in Multimodal Sentiment Analysis

    May 27, 2026Jianheng Dai, Jiazhang Liang, Sijie MaiModality ImbalanceGradient Interference

  15. Leveraging Self-Paced Curriculum Learning for Enhanced Modality Balance in Multimodal Conversational Emotion Recognition

    May 20, 2026Phuong-Anh Nguyen, The-Son Le, Duc-Trong Le +1Modality ImbalanceEmotion Recognition in Conversations

  16. Multimodal Learning on Low-Quality Data with Conformal Predictive Self-Calibration

    May 5, 2026Xun Jiang, Yufan Gu, Disen Hu +5Multimodal RobustnessModality Imbalance

  17. Joint-Centric Dual Contrastive Alignment with Structure-Preserving and Information-Balanced Regularization

    Apr 17, 2026Habibeh Naderi, Behrouz Haji Soleimani, Stan MatwinCross-Modal LearningModality Imbalance

  18. Enhance-then-Balance Modality Collaboration for Robust Multimodal Sentiment Analysis

    Apr 14, 2026Kang He, Yuzhe Ding, Xinrong Wang +3Multimodal Sentiment AnalysisModality Imbalance

  19. PDMP: Rethinking Balanced Multimodal Learning via Performance-Dominant Modality Prioritization

    Apr 7, 2026Shicai Wei, Chunbo Luo, Qiang Zhu +1Multimodal LearningMultimodal Optimization

  20. Mind the Gap: A Framework for Assessing Pitfalls in Multimodal Active Learning

    Mar 31, 2026Dustin Eisenhardt, Yunhee Jeong, Florian BuettnerActive LearningModality Imbalance

  21. BALM: A Model-Agnostic Framework for Balanced Multimodal Learning under Imbalanced Missing Rates

    Mar 20, 2026Phuong-Anh Nguyen, Tien Anh Pham, Duc-Trong Le +1Modality ImbalanceMultimodal Learning

  22. Unbiased Dynamic Multimodal Fusion

    Mar 20, 2026Shicai Wei, Kaijie Zhang, Luyi Chen +2Multimodal FusionUncertainty-Aware Multimodal Fusion

  23. Parameter-Efficient Modality-Balanced Symmetric Fusion for Multimodal Remote Sensing Semantic Segmentation

    Mar 18, 2026Haocheng Li, Juepeng Zheng, Shuangxi Miao +4Remote Sensing Image SegmentationMultimodal Fusion

  24. Dr. SHAP-AV: Decoding Relative Modality Contributions via Shapley Attribution in Audio-Visual Speech Recognition

    Mar 12, 2026Umberto Cappellazzo, Stavros Petridis, Maja PanticAudio-Visual Speech RecognitionModality Imbalance

  25. MissBench: Benchmarking Multimodal Affective Analysis under Imbalanced Missing Modalities

    Mar 10, 2026Tien Anh Pham, Phuong-Anh Nguyen, Duc-Trong Le +1Multimodal Model EvaluationMissing-Modality Learning