tatsu-lab / alpaca_evalLinks
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
☆1,870Updated last month
Alternatives and similar repositories for alpaca_eval
Users that are interested in alpaca_eval are comparing it to the libraries listed below
Sorting:
- Measuring Massive Multitask Language Understanding | ICLR 2021☆1,502Updated 2 years ago
- Benchmarking large language models' complex reasoning ability with chain-of-thought prompting☆2,747Updated last year
- 800,000 step-level correctness labels on LLM solutions to MATH problems☆2,053Updated 2 years ago
- Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"☆1,784Updated 3 months ago
- The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".☆1,564Updated 4 months ago
- YaRN: Efficient Context Window Extension of Large Language Models☆1,613Updated last year
- Doing simple retrieval from LLM models at various context lengths to measure accuracy☆2,042Updated last year
- A framework for the evaluation of autoregressive code generation language models.☆981Updated 2 months ago
- A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)☆2,815Updated 8 months ago
- A family of open-sourced Mixture-of-Experts (MoE) Large Language Models☆1,605Updated last year
- [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward☆923Updated 7 months ago
- Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models …☆2,492Updated this week
- A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.☆825Updated last year
- AgentTuning: Enabling Generalized Agent Abilities for LLMs☆1,463Updated last year
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆888Updated this week
- ☆763Updated last year
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆547Updated last year
- AllenAI's post-training codebase☆3,222Updated this week
- ☆1,313Updated last year
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆515Updated last year
- [ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the dive…☆965Updated 11 months ago
- Aligning Large Language Models with Human: A Survey☆733Updated 2 years ago
- The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.☆780Updated last year
- TruthfulQA: Measuring How Models Imitate Human Falsehoods☆812Updated 8 months ago
- [ICLR 2025] Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. Your efficient and high-quality synthetic data …☆775Updated 6 months ago
- Data and tools for generating and inspecting OLMo pre-training data.☆1,321Updated last week
- Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"☆1,202Updated last year
- LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.☆742Updated last year
- Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI☆1,401Updated last year
- This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai,…☆2,204Updated last year