Heterogeneous Scientific Foundation Model Collaboration
From Daily Paper Cast by Jingwen Liang, Gengyu Wang
May 2, 2026 · 25 min · Episode 1829
About this episode
The episode discusses the Eywa framework, which enhances language models for scientific applications by integrating them with domain-specific foundation models.
🤗 Upvotes: 180 | cs.AI, cs.CL, cs.LG Authors: Zihao Li, Jiaru Zou, Feihao Fang, Xuying Ning, Mengting Ai, Tianxin Wei, Sirui Chen, Xiyuan Yang, Jingrui He Title: Heterogeneous Scientific Foundation Model Collaboration Arxiv: http://arxiv.org/abs/2604.27351v1 Abstract: Agentic large language model systems have demonstrated strong capabilities. However, their reliance on language as the universal interface fundamentally limits their applicability to many real-world problems, especially in scientific domains where domain-specific foundation models have been developed to address specialized tasks beyond natural language. In this work, we introduce Eywa, a heterogeneous agentic framework designed to extend language-centric systems to a broader class of scientific foundation models. The key idea of Eywa is to augment domain-specific foundation models with a language-model-based reasoning interface, enabling language models to guide inference over non-linguistic data modalities. This design allows predictive foundation models, which are typically optimized for specialized data and tasks, to participate in higher-level reasoning and decision-making processes within agentic systems. Eywa…
Topics covered
- large language models
- scientific foundation models
- agentic systems
- domain-specific models
- reasoning interfaces
- multi-agent systems
Keywords
- Eywa
- language models
- scientific applications
- reasoning
- multi-agent systems
- foundation models
- AI
Mentioned in this episode
Books & works: Heterogeneous Scientific Foundation Model Collaboration
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