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Pistis Technical Report
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multimodalreinforcement learningfine-tuningagentic reasoning
2609.28554
Builder Relevance
1h ago80%
Abstract
The Pistis model family introduces a scalable post-training framework for multimodal large language models that enhances performance through innovative training techniques.
Reality Card
Core Claim
The Pistis framework achieves stronger performance in multimodal reasoning and agentic tasks by integrating Interleaved Distillation and Reinforcement Learning within a single training loop.
Method / Result
Pistis models outperform their corresponding base models in multimodal reasoning and search tasks.
Limitations
The paper does not specify detailed reproducibility concerns or limitations.
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