tatsu-lab / alpaca_evalLinks
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
☆1,877Updated 2 months ago
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☆1,505Updated 2 years ago
- 800,000 step-level correctness labels on LLM solutions to MATH problems☆2,056Updated 2 years ago
- The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".☆1,569Updated 4 months ago
- Benchmarking large language models' complex reasoning ability with chain-of-thought prompting☆2,748Updated last year
- Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"☆1,788Updated 4 months ago
- YaRN: Efficient Context Window Extension of Large Language Models☆1,619Updated last year
- [ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the dive…☆965Updated 11 months ago
- Doing simple retrieval from LLM models at various context lengths to measure accuracy☆2,056Updated last year
- The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.☆782Updated last year
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆889Updated 3 weeks ago
- Aligning Large Language Models with Human: A Survey☆735Updated 2 years ago
- A framework for the evaluation of autoregressive code generation language models.☆985Updated 2 months ago
- ☆765Updated last year
- Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models …☆2,509Updated this week
- A family of open-sourced Mixture-of-Experts (MoE) Large Language Models☆1,612Updated last year
- Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"☆1,201Updated last year
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆548Updated last year
- A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.☆825Updated last year
- A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)☆2,844Updated last week
- TruthfulQA: Measuring How Models Imitate Human Falsehoods☆820Updated 9 months ago
- LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.☆744Updated last year
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆517Updated last year
- [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward☆923Updated 8 months ago
- Reference implementation for DPO (Direct Preference Optimization)☆2,752Updated last year
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆770Updated 2 years ago
- ToRA is a series of Tool-integrated Reasoning LLM Agents designed to solve challenging mathematical reasoning problems by interacting wit…☆1,098Updated last year
- A library for advanced large language model reasoning☆2,291Updated 4 months ago
- AgentTuning: Enabling Generalized Agent Abilities for LLMs☆1,463Updated last year
- Official repo for the paper "Scaling Synthetic Data Creation with 1,000,000,000 Personas"☆1,362Updated 8 months ago
- ☆922Updated last year