Alternatives and similar repositories for human-eval

Users that are interested in human-eval are comparing it to the libraries listed below

• hendrycks / test
  Measuring Massive Multitask Language Understanding | ICLR 2021
  ☆1,497Updated 2 years ago
• bigcode-project / bigcode-evaluation-harness
  A framework for the evaluation of autoregressive code generation language models.
  ☆979Updated 2 months ago
• evalplus / evalplus
  Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024
  ☆1,586Updated last month
• openai / prm800k
  800,000 step-level correctness labels on LLM solutions to MATH problems
  ☆2,048Updated 2 years ago
• tatsu-lab / alpaca_eval
  An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
  ☆1,858Updated last month
• noahshinn / reflexion
  [NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning
  ☆2,864Updated 8 months ago
• THUDM / AgentBench
  A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)
  ☆2,791Updated 7 months ago
• openai / grade-school-math
  ☆1,329Updated last year
• google / BIG-bench
  Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models
  ☆3,119Updated last year
• EleutherAI / pythia
  The hub for EleutherAI's work on interpretability and learning dynamics
  ☆2,621Updated 3 months ago
• stanford-crfm / helm
  Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models …
  ☆2,480Updated this week
• anthropics / hh-rlhf
  Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"
  ☆1,782Updated 3 months ago
• sylinrl / TruthfulQA
  TruthfulQA: Measuring How Models Imitate Human Falsehoods
  ☆809Updated 8 months ago
• microsoft / LMOps
  General technology for enabling AI capabilities w/ LLMs and MLLMs
  ☆4,135Updated 2 months ago
• gkamradt / LLMTest_NeedleInAHaystack
  Doing simple retrieval from LLM models at various context lengths to measure accuracy
  ☆2,028Updated last year
• FranxYao / chain-of-thought-hub
  Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
  ☆2,745Updated last year
• hendrycks / math
  The MATH Dataset (NeurIPS 2021)
  ☆1,198Updated 2 weeks ago
• yizhongw / self-instruct
  Aligning pretrained language models with instruction data generated by themselves.
  ☆4,475Updated 2 years ago
• amazon-science / auto-cot
  Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)
  ☆1,934Updated last year
• microsoft / CodeT
  ☆665Updated 10 months ago
• bigscience-workshop / promptsource
  Toolkit for creating, sharing and using natural language prompts.
  ☆2,937Updated last year
• SWE-bench / SWE-bench
  SWE-bench: Can Language Models Resolve Real-world Github Issues?
  ☆3,547Updated this week
• hendrycks / apps
  APPS: Automated Programming Progress Standard (NeurIPS 2021)
  ☆486Updated last year
• keirp / automatic_prompt_engineer
  ☆1,307Updated last year
• ruixiangcui / AGIEval
  ☆764Updated last year
• google-research / FLAN
  ☆1,540Updated last month
• ysymyth / ReAct
  [ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models
  ☆3,003Updated last year
• openai / automated-interpretability
  ☆1,037Updated last year
• princeton-nlp / tree-of-thought-llm
  [NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
  ☆5,560Updated 8 months ago
• MLGroupJLU / LLM-eval-survey
  The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".
  ☆1,564Updated 3 months ago