NL2Code / CodeMLinks
☆44Updated last year
Alternatives and similar repositories for CodeM
Users that are interested in CodeM are comparing it to the libraries listed below
Sorting:
- ☆80Updated 8 months ago
- Official repo for NAACL 2024 Findings paper "LeTI: Learning to Generate from Textual Interactions."☆66Updated 2 years ago
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆45Updated 2 months ago
- Astraios: Parameter-Efficient Instruction Tuning Code Language Models☆63Updated last year
- Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch☆29Updated this week
- [EMNLP'23] Execution-Based Evaluation for Open Domain Code Generation☆49Updated last year
- Advanced Reasoning Benchmark Dataset for LLMs☆47Updated 2 years ago
- Scripts for downloading and pre-processing the `proof-pile`, a high quality dataset of mathematical text and code.☆21Updated 3 years ago
- CodeUltraFeedback: aligning large language models to coding preferences (TOSEM 2025)☆72Updated last year
- ☆17Updated 7 months ago
- ☆39Updated last year
- Pre-training code for CrystalCoder 7B LLM☆55Updated last year
- ☆29Updated 3 months ago
- Implementation of "LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models"☆40Updated last year
- Script for processing OpenAI's PRM800K process supervision dataset into an Alpaca-style instruction-response format☆27Updated 2 years ago
- Implementation of the paper: "AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?"☆66Updated 11 months ago
- This is a new metric that can be used to evaluate faithfulness of text generated by LLMs. The work behind this repository can be found he…☆31Updated 2 years ago
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Updated last year
- An Implementation of "Orca: Progressive Learning from Complex Explanation Traces of GPT-4"☆44Updated last year
- Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs☆40Updated last year
- A dataset of LLM-generated chain-of-thought steps annotated with mistake location.☆84Updated last year
- We view Large Language Models as stochastic language layers in a network, where the learnable parameters are the natural language prompts…☆95Updated last year
- [NAACL 2024] Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data? https://aclanthology.org/2024.naa…☆55Updated 4 months ago
- Submission to the inverse scaling prize☆23Updated 2 years ago
- ☆44Updated last year
- [ICML 2023] "Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation", Wenqing Zheng, S P Sharan, Ajay Kumar Jaiswal, …☆43Updated 2 years ago
- A repository for research on medium sized language models.☆78Updated last year
- [NeurIPS 2023] PyTorch code for Can Language Models Teach? Teacher Explanations Improve Student Performance via Theory of Mind☆66Updated last year
- Aioli: A unified optimization framework for language model data mixing☆31Updated 10 months ago
- Code for "Democratizing Reasoning Ability: Tailored Learning from Large Language Model", EMNLP 2023☆36Updated last year