Paper page - Intern-S2-Preview: Scientific Agentic Foundation Model

Source: https://huggingface.co/papers/2608.13505 Published on Aug 13

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Abstract

Intern-S2-Preview is a scientific agentic foundation model series that integrates multimodal pre-training, multi-task reinforcement learning, and memory-augmented extensions to support long-horizon scientific reasoning and forecasting.

Scientific discovery increasingly requires AI systems that can reason over scientific evidence of heterogeneous modalities, interact with scientific tools and environments, and sustain progress across long task horizons. We present Intern-S2-Preview, a series of scientific agentic foundation models designed to support multimodal scientific understanding, reasoning, generation, and long-horizon tasks. The training pipeline begins with scientificmultimodal pre-trainingover rendered scientific documents, interleaved image-text data, and diverse scientific corpora. Starting from the pretrained checkpoint, we apply a unified post-training pipeline consisting ofsupervised fine-tuning, scalablemulti-task reinforcement learning(RL), black- and white-boxagentic RL, andon-policy distillation. This pipeline is supported by practical techniques that improve rollout and training stability and efficiency, includingpartial rolloutwithoff-policy correction,adaptive length regularization,online speculative decoding,robust multi-task optimization, andtrace-aware experience assemblyfor agentic tasks. At the architecture level, Intern-S2-Preview-397B extendstime series modellingfrom efficient long-sequence understanding to numerical forecasting, whileMemory Decoderis studied as a separatememory-augmentedpath for rapid scientific specialization without modifying the frozen 397B backbone. Evaluations across scientific, multimodal, agentic, and general-purpose benchmarks show that Intern-S2-Preview-397B achieves competitive or leading results in multiple settings. The time series modules improve scientific signal understanding and forecasting on SciTS, while the separate Intern-MemDec-4B extension improves the Biology-Instructions average score from 56.92 to 60.32 without modifying the frozen 397B backbone.

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