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Fortune is a framework for symbolic table reasoning using large language models (LLMs). Unlike prior approaches that rely heavily on supervised fine-tuning (SFT) with annotated formulas, Fortune introduces a reinforcement learning (RL) framework that learns directly from binary answer…
The main features of microsoft/fortune are: Code and Formal Reasoning.
Open-source alternatives to microsoft/fortune include: microsoft/bosquelanguage — Bosque is an experimental programming language and development platform designed for machine-assisted software… dreamlm/dream-coder — Dream-Coder 7B is a diffusion LLM for code trained exclusively on open-source data across its development… ganler/code-r1 — This repository includes implementations to reproduce the R1 pipeline for code generation:. hhhuang/arar. huggingface/open-r1 — Open-r1 is a framework designed for the large-scale training, distillation, and optimization of language models… deepseek-ai/deepseek-prover-v2.
Bosque is an experimental programming language and development platform designed for machine-assisted software construction. It combines functional programming semantics with imperative syntax to enforce logic correctness and runtime safety, providing a type-safe environment that utilizes structured data models to maintain information integrity throughout the application lifecycle. The platform distinguishes itself through deep integration with formal verification tools, including automated theorem provers and symbolic execution engines. By transforming source code into a regularized intermed
Dream-Coder 7B is a diffusion LLM for code trained exclusively on open-source data across its development stages—adaptation, supervised fine-tuning, and reinforcement learning. It achieves an impressive 21.4% pass@1 on LiveCodeBench (2410-2505), outperforming other open-source diffusion LLMs by…
This repository includes implementations to reproduce the R1 pipeline for code generation:
