FranxYao / chain-of-thought-hub
Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
☆2,668Updated 6 months ago
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
- A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".☆2,004Updated last year
- Aligning pretrained language models with instruction data generated by themselves.☆4,269Updated last year
- A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)☆2,374Updated 3 weeks ago
- Toolkit for creating, sharing and using natural language prompts.☆2,772Updated last year
- Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)☆1,720Updated 11 months ago
- A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)☆1,106Updated last year
- Open Academic Research on Improving LLaMA to SOTA LLM☆1,618Updated last year
- The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".☆1,485Updated 8 months ago
- Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"☆1,681Updated last year
- Implementation of Toolformer, Language Models That Can Use Tools, by MetaAI☆2,002Updated 6 months ago
- [ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters☆5,807Updated 11 months ago
- Instruction Tuning with GPT-4☆4,266Updated last year
- General technology for enabling AI capabilities w/ LLMs and MLLMs☆3,845Updated last month
- An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.☆1,654Updated last month
- Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".☆1,109Updated last year
- An Open-source Toolkit for LLM Development☆2,758Updated last month
- ☆1,214Updated 9 months ago
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆760Updated last year
- Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"☆1,127Updated 11 months ago
- 800,000 step-level correctness labels on LLM solutions to MATH problems☆1,900Updated last year
- AgentTuning: Enabling Generalized Agent Abilities for LLMs☆1,386Updated last year
- Code and documents of LongLoRA and LongAlpaca (ICLR 2024 Oral)☆2,646Updated 6 months ago
- YaRN: Efficient Context Window Extension of Large Language Models☆1,421Updated 10 months ago
- Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"☆2,282Updated 2 months ago
- [ACL 2023] Reasoning with Language Model Prompting: A Survey☆935Updated last month
- Measuring Massive Multitask Language Understanding | ICLR 2021☆1,305Updated 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…☆2,687Updated last year
- This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai,…☆1,976Updated 8 months ago
- [NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning☆2,583Updated last month
- ☆903Updated 8 months ago