(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"
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 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).
A minimal JEPA-based language model demonstrating latent-space reasoning on GSM8K using a single decoder-only Transformer.
Transforming weak prompts into reasoning machines using Textual Gradients and AdalFlow. Runs on Colab.
GSM8K benchmark results for Qwen3-4B and Qwen3-8B fine-tuned
NDA-safe excerpts of math & economics modeling tasks for LLM reasoning evaluation and numerical verification.
Data cleaning and structuring pipeline for math reasoning tasks using Qwen3-0.6B for LLM post-training.
Small-scale Implementation and Extension of “The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning” (NeurIPS '25)
Comprehensive framework for mathematical reasoning research with dual research capabilities
GRPO (Group Relative Policy Optimization) implemented from scratch in PyTorch. 10 ablation experiments.
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