tatsu-lab / alpaca_eval
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
☆1,511Updated 2 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for alpaca_eval
- ☆1,263Updated this week
- Measuring Massive Multitask Language Understanding | ICLR 2021☆1,202Updated last year
- YaRN: Efficient Context Window Extension of Large Language Models☆1,339Updated 6 months ago
- AgentTuning: Enabling Generalized Agent Abilities for LLMs☆1,362Updated last year
- A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)☆2,204Updated 2 months ago
- [ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the dive…☆881Updated 2 weeks ago
- Benchmarking large language models' complex reasoning ability with chain-of-thought prompting☆2,573Updated 3 months ago
- Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09…☆1,931Updated this week
- Doing simple retrieval from LLM models at various context lengths to measure accuracy☆1,551Updated 2 months ago
- 800,000 step-level correctness labels on LLM solutions to MATH problems☆1,636Updated last year
- Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"☆1,609Updated last year
- The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".☆1,425Updated 5 months ago
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆528Updated 7 months ago
- DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models☆1,000Updated 9 months ago
- A family of open-sourced Mixture-of-Experts (MoE) Large Language Models☆1,385Updated 8 months ago
- Reference implementation for DPO (Direct Preference Optimization)☆2,156Updated 2 months ago
- [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward☆701Updated this week
- This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai,…☆1,822Updated 5 months ago
- A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.☆779Updated 4 months ago
- ☆707Updated 4 months ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆738Updated last week
- ☆887Updated 5 months ago
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆424Updated 4 months ago
- Aligning Large Language Models with Human: A Survey☆698Updated last year
- A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)☆1,079Updated 10 months ago
- ☆1,152Updated 6 months ago
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,745Updated 9 months ago
- Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI☆1,333Updated 6 months ago
- Codebase for Merging Language Models (ICML 2024)☆765Updated 6 months ago
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆754Updated last year