FranxYao / chain-of-thought-hubLinks
Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
☆2,751Updated last year
Alternatives and similar repositories for chain-of-thought-hub
Users that are interested in chain-of-thought-hub are comparing it to the libraries listed below
Sorting:
- The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".☆1,575Updated 4 months ago
- Aligning pretrained language models with instruction data generated by themselves.☆4,507Updated 2 years ago
- A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)☆1,132Updated last year
- Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"☆1,203Updated last year
- A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".☆2,081Updated 2 years ago
- An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.☆1,885Updated 2 months ago
- Open Academic Research on Improving LLaMA to SOTA LLM☆1,615Updated 2 years ago
- Implementation of Toolformer, Language Models That Can Use Tools, by MetaAI☆2,051Updated last year
- 800,000 step-level correctness labels on LLM solutions to MATH problems☆2,061Updated 2 years ago
- Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"☆1,791Updated 4 months ago
- Instruction Tuning with GPT-4☆4,335Updated 2 years ago
- General technology for enabling AI capabilities w/ LLMs and MLLMs☆4,157Updated 4 months ago
- A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)☆2,889Updated 2 weeks ago
- ☆922Updated last year
- Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)☆1,964Updated last year
- [ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the dive…☆967Updated last year
- ☆1,317Updated last year
- We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tunin…☆2,772Updated last year
- Toolkit for creating, sharing and using natural language prompts.☆2,958Updated 2 years ago
- ☆908Updated last year
- AgentTuning: Enabling Generalized Agent Abilities for LLMs☆1,465Updated 2 years ago
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆770Updated 2 years ago
- Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".☆1,137Updated last year
- Measuring Massive Multitask Language Understanding | ICLR 2021☆1,508Updated 2 years ago
- [ACL 2023] Reasoning with Language Model Prompting: A Survey☆984Updated 5 months ago
- ☆1,549Updated 2 months ago
- YaRN: Efficient Context Window Extension of Large Language Models☆1,623Updated last year
- Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models …☆2,522Updated last week
- LOMO: LOw-Memory Optimization☆989Updated last year
- Dromedary: towards helpful, ethical and reliable LLMs.☆1,143Updated last month