Group Cognition Learning: Making Everything Better Through Governed Two-Stage Agents Collaboration

• URL: http://arxiv.org/abs/2605.00370v1
• Date: Fri, 01 May 2026 03:19:34 GMT
• Title: Group Cognition Learning: Making Everything Better Through Governed Two-Stage Agents Collaboration
• Abstract summary: Group Cognition Learning (GCL) is a governed collaboration paradigm that applies a two-stage protocol after modality-specific encoding.<n>GCL mitigates modality dominance and coupling, establishing state-of-the-art results across both regression and classification benchmarks.
• Score: 13.299987551113809
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Centralized multimodal learning commonly compresses language, acoustic, and visual signals into a single fused representation for prediction. While effective, this paradigm suffers from two limitations: modality dominance, where optimization gravitates towards the path of least resistance, ignoring weaker but informative modalities, and spurious modality coupling, where models overfit to incidental cross-modal correlations. To address these, we propose Group Cognition Learning (GCL), a governed collaboration paradigm that applies a two-stage protocol after modality-specific encoding. In Stage 1 (Selective Interaction), a Routing Agent proposes directed interaction routes, and an Auditing Agent assigns sample-wise gates to emphasize exchanges that yield positive marginal predictive gain while suppressing redundant coupling. In Stage 2 (Consensus Formation), a Public-Factor Agent maintains an explicit shared factor, and an Aggregation Agent produces the final prediction through contribution-aware weighting while keeping each modality representation as a specialization channel. Extensive experiments on CMU-MOSI, CMU-MOSEI, and MIntRec demonstrate that GCL mitigates dominance and coupling, establishing state-of-the-art results across both regression and classification benchmarks. Analysis experiments further demonstrate the effectiveness of the design.

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