APEXLAB / CodeApexLinks
☆49Updated 2 years ago
Alternatives and similar repositories for CodeApex
Users that are interested in CodeApex are comparing it to the libraries listed below
Sorting:
- NaturalCodeBench (Findings of ACL 2024)☆69Updated last year
- ☆83Updated last year
- A Comprehensive Benchmark for Software Development.☆124Updated last year
- ☆147Updated last year
- Feeling confused about super alignment? Here is a reading list☆43Updated 2 years ago
- The implementation of paper "LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Fee…☆37Updated last year
- This is the official implementation of "Progressive-Hint Prompting Improves Reasoning in Large Language Models"☆209Updated 2 years ago
- SOTA Math Opensource LLM☆333Updated 2 years ago
- ☆124Updated last year
- Pretrain、decay、SFT a CodeLLM from scratch 🧙♂️☆39Updated last year
- ☆51Updated last year
- ☆65Updated last year
- Official repository for our paper "FullStack Bench: Evaluating LLMs as Full Stack Coders"☆108Updated 8 months ago
- ☆32Updated 7 months ago
- AI Alignment: A Comprehensive Survey☆137Updated 2 years ago
- ☆56Updated last year
- ☆96Updated last year
- ☆33Updated 3 months ago
- code for Scaling Laws of RoPE-based Extrapolation☆73Updated 2 years ago
- 代码大模型 预训练&微调&DPO 数据处理 业界处理pipeline sota☆48Updated last year
- xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval☆87Updated last year
- Reformatted Alignment☆111Updated last year
- [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios☆73Updated 7 months ago
- Collection of papers for scalable automated alignment.☆94Updated last year
- ☆46Updated last year
- Unleashing the Power of Cognitive Dynamics on Large Language Models☆63Updated last year
- ☆87Updated 4 months ago
- Official github repo for AutoDetect, an automated weakness detection framework for LLMs.☆46Updated last year
- StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback☆74Updated last year
- ☆96Updated last year