(ArXiv25) Vision Matters: Simple Visual Perturbations Can Boost Multimodal Math Reasoning
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Updated
Sep 30, 2025 - Python
(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.
A controlled LoRA finetuning study on process supervision for mathematical reasoning with Qwen2.5-Math-7B-Instruct.
STaR × S1 math pipeline on Qwen2.5-1.5B. LoRA, strict Final: format, ~20–30% acc (OpenR1-Math split).
GSM8K benchmark results for Qwen3-4B and Qwen3-8B fine-tuned
Tool-Integrated Reasoning for competition math — weighted voting, difficulty-aware allocation
GRPO (Group Relative Policy Optimization) implemented from scratch in PyTorch. 10 ablation experiments.
Data cleaning and structuring pipeline for math reasoning tasks using Qwen3-0.6B for LLM post-training.
NDA-safe excerpts of math & economics modeling tasks for LLM reasoning evaluation and numerical verification.
Transforming weak prompts into reasoning machines using Textual Gradients and AdalFlow. Runs on Colab.
GRPO reinforcement learning with verifiable rewards for sub-2B models
Comprehensive framework for mathematical reasoning research with dual research capabilities
Small-scale Implementation and Extension of “The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning” (NeurIPS '25)
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