ToRA is a series of Tool-integrated Reasoning LLM Agents designed to solve challenging mathematical reasoning problems by interacting with tools [ICLR'24].

Resources of deep learning for mathematical reasoning (DL4MATH).

🚀ReVisual-R1 is a 7B open-source multimodal language model that follows a three-stage curriculum—cold-start pre-training, multimodal reinforcement learning, and text-only reinforcement learning—to achieve faithful, concise, and self-reflective state-of-the-art performance in visual and textual reasoning.

[NeurIPS 2024] Code for the paper "Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models"

Small and Efficient Mathematical Reasoning LLMs

[ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"

[EMNLP '23] Discriminator-Guided Chain-of-Thought Reasoning

[NeurIPS 2025 D&B Track] Evaluation Code Repo for Paper "PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts"

[NeurIPS 2024] Code and Data Repo for Paper "Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning"

[ACL 2024 Findings] The official repo for "ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models".

The lecture notes for my discrete mathematics classes.

MathPrompter Implementation: This repository hosts an implementation based on the 'MathPrompter: Mathematical Reasoning Using Large Language Models' paper by Microsoft Research. The code replicates the methods discussed in the paper.

[NeurIPS'25] Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning

[AAAI 2025] Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical Problems

Fuzzy reasoning of Generalized Quantifiers (EMNLP 2024)

GSM8K-Consistency is a benchmark database for analyzing the consistency of Arithmetic Reasoning on GSM8K.

This dataset aggregates carefully selected elementary-level math problems from various existing resources, providing an optimal mix for testing and enhancing math-solving chatbots for young learners.

Bachelor thesis codebase: GRPO training for improving mathematical reasoning in small language models using reinforcement learning

We implement and benchmark various prompting techniques for LLMs (i.e. PAL, CoT, PoT, etc.) on a specialized math reasoning dataset (on elementary school grade).

This repository contains the code, data, and models of the paper titled "Math Word Problem Solving by Generating Linguistic Variants of Problem Statements" published in the Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop).