Implement a reasoning LLM in PyTorch from scratch, step by step

(ArXiv25) Vision Matters: Simple Visual Perturbations Can Boost Multimodal Math Reasoning

Solving Inequality Proofs with Large Language Models.

An official implementation of "SPARK: Synergistic Policy And Reward Co-Evolving Framework"

ArmLLM 2025 solutions covering ViT from scratch, SigLIP–Qwen LaTeX OCR, GRPO reasoning post-training, inference-time reasoning strategies, and adversarial vision attacks.

AI Benchmark 知识库 — 全面收录各大 AI 公司用来测试模型性能的 Benchmark 题库完整集合

A minimal JEPA-based language model demonstrating latent-space reasoning on GSM8K using a single decoder-only Transformer.

STaR × S1 math pipeline on Qwen2.5-1.5B. LoRA, strict Final: format, ~20–30% acc (OpenR1-Math split).

A controlled LoRA finetuning study on process supervision for mathematical reasoning with Qwen2.5-Math-7B-Instruct.

Data cleaning and structuring pipeline for math reasoning tasks using Qwen3-0.6B for LLM post-training.

Tool-Integrated Reasoning for competition math — weighted voting, difficulty-aware allocation

Comprehensive framework for mathematical reasoning research with dual research capabilities

GRPO (Group Relative Policy Optimization) implemented from scratch in PyTorch. 10 ablation experiments.

Small-scale Implementation and Extension of “The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning” (NeurIPS '25)

Transforming weak prompts into reasoning machines using Textual Gradients and AdalFlow. Runs on Colab.

A Bengali Math LLM

GRPO reinforcement learning with verifiable rewards for sub-2B models

NDA-safe excerpts of math & economics modeling tasks for LLM reasoning evaluation and numerical verification.

GSM8K benchmark results for Qwen3-4B and Qwen3-8B fine-tuned