Allen Institute for AI (Ai2)
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- Ai2 recaps COLM 2026: Olmo Hybrid, next Olmo, AstaBrief and Bolmo
Ai2 shared a range of open research at COLM 2026 in San Francisco, spanning model architecture and agents for science. Its paper "Olmo Hybrid: From Theory to Practice and Back" reports that combining transformer attention with linear recurrent layers reached the same MMLU accuracy as Olmo 3 7B using 49% fewer training tokens, and that work is informing the next Olmo, now in pre-training with a hybrid mixture-of-experts architecture. Ai2 also released Olmo-core 3, a redesigned system for training large MoE models, described AstaBrief, an open-weights model that generates cited reports from research questions and retrieved literature, and said its Bolmo paper on retrofitting language models to operate over bytes was published in Nature during the conference, with additional checkpoints released.
Ai2 Blog · 🔥 0 - Ai2 releases olmOCR v0.4.0, lifting benchmark score ~4 points with RL
The Allen Institute for AI released olmOCR v0.4.0 on October 21, 2025, a new model trained with synthetic data and reinforcement learning that raises the project's olmOCR-Bench score by roughly 4 points. The toolkit converts PDF, PNG and JPEG documents into clean Markdown, handling equations, tables, handwriting, multi-column layouts and insets while stripping headers and footers and preserving natural reading order. Ai2 says it runs on a 7B vision-language model requiring a GPU, at under $200 per million pages, and reports an olmOCR-Bench score of 82.4±1.1 for v0.4.0 — just below Chandra OCR 0.1.0 (83.1) on its own leaderboard.
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