lupantech / dl4mathLinks
Resources of deep learning for mathematical reasoning (DL4MATH).
☆366Updated last year
Alternatives and similar repositories for dl4math
Users that are interested in dl4math are comparing it to the libraries listed below
Sorting:
- AI for Mathematics (AI4Math) paper list☆176Updated 11 months ago
- This repository contains a collection of papers and resources on Reasoning in Large Language Models.☆564Updated last year
- Data and Code for ACL 2021 Paper "Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning"☆163Updated 5 months ago
- ☆340Updated 3 months ago
- Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models☆266Updated last year
- The MATH Dataset (NeurIPS 2021)☆1,198Updated 2 weeks ago
- Prod Env☆430Updated last year
- Curation of resources for LLM mathematical reasoning, most of which are screened by @tongyx361 to ensure high quality and accompanied wit…☆140Updated last year
- [ACL 2024]Official GitHub repo for OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scie…☆170Updated 3 months ago
- [MathCoder, MathCoder-VL] Family of LLMs/LMMs for mathematical reasoning.☆312Updated last month
- Data and Code for Program of Thoughts [TMLR 2023]☆286Updated last year
- Code and data for "MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning" [ICLR 2024]☆375Updated last year
- A simple toolkit for benchmarking LLMs on mathematical reasoning tasks. 🧮✨☆257Updated last year
- This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.☆547Updated 10 months ago
- Code & data for ICLR 2024 spotlight paper: 🍯MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data☆41Updated last year
- ☆163Updated last year
- Papers and Datasets on Instruction Tuning and Following. ✨✨✨☆499Updated last year
- Code for STaR: Bootstrapping Reasoning With Reasoning (NeurIPS 2022)☆209Updated 2 years ago
- Code for the paper LEGO-Prover: Neural Theorem Proving with Growing Libraries☆67Updated last year
- paper list on reasoning in NLP☆191Updated 5 months ago
- [TMLR] Cumulative Reasoning With Large Language Models (https://arxiv.org/abs/2308.04371)☆302Updated last month
- A paper & resource list of large language models, including course, paper, demo, figures☆199Updated 2 years ago
- [ACL 2024] A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future☆463Updated 8 months ago
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆769Updated 2 years ago
- A large-scale, fine-grained, diverse preference dataset (and models).☆352Updated last year
- Paper List for In-context Learning 🌷☆862Updated 11 months ago
- (ICML 2024) Alphazero-like Tree-Search can guide large language model decoding and training☆280Updated last year
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆513Updated last year
- [COLM 2024] A Survey on Deep Learning for Theorem Proving☆206Updated 3 months ago
- The official repo for "TheoremQA: A Theorem-driven Question Answering dataset" (EMNLP 2023)☆34Updated last year