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Granite 4.2 is IBM's new family of reasoning LLMs available in 3B, 8B, and 30B sizes, featuring thinking modes, tool calling, and trained with a multi-stage reinforcement learning pipeline under the Apache 2.0 license.
MIThinker proposes a lightweight reasoning model for motivational interviewing counseling agents, trained via supervised fine-tuning and reinforcement learning to generate therapeutic thoughts, achieving MI competency comparable to state-of-the-art systems with lower computation.
This paper presents RaDaR, a 32B open-source reasoning LLM trained on public and synthetic rare disease cases, which outperforms larger models like DeepSeek-R1 in diagnosis benchmarks and improves physician accuracy by 21.44 percentage points in a randomized trial.