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Alibaba's Tongyi Open-Sources R1-Omni Model for Enhanced Multimodal Emotion Recognition

On March 11th, the Tongyi Lab team announced the open-sourcing of the R1-Omni model, marking a significant advancement in multimodal model development. This model integrates reinforcement learning with verifiable reward (RLVR) methods, focusing on improving reasoning capabilities and generalization performance in multimodal emotion recognition tasks. R1-Omni's training is divided into two stages. In the cold-start phase, the team fine-tuned the model using a combined dataset containing 580 video clips sourced from Explainable Multimodal Emotion...

9.6k 3 days ago
Alibaba's Tongyi Open-Sources R1-Omni Model for Enhanced Multimodal Emotion Recognition

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The_techer

shiviklabs

T

A fine-tuned version based on Qwen3-1.7B, which enhances mathematical reasoning ability through one-shot reinforcement learning and verifiable reward (RLVR) methods, and performs excellently in mathematical benchmark tests and coding tasks.

Natural Language ProcessingSafetensorsSafetensors
shiviklabs
850
0
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