hendrycks / test

Related projects: ⓘ

• tatsu-lab / alpaca_eval
  An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
  ☆1,436Updated this week
• allenai / open-instruct
  ☆1,194Updated this week
• stanford-crfm / helm
  Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09…
  ☆1,857Updated this week
• yuchenlin / LLM-Blender
  [ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the dive…
  ☆858Updated 4 months ago
• anthropics / hh-rlhf
  Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"
  ☆1,561Updated last year
• google-research / FLAN
  ☆1,456Updated 3 weeks ago
• bigcode-project / bigcode-evaluation-harness
  A framework for the evaluation of autoregressive code generation language models.
  ☆776Updated this week
• jquesnelle / yarn
  YaRN: Efficient Context Window Extension of Large Language Models
  ☆1,306Updated 5 months ago
• AGI-Edgerunners / LLM-Adapters
  Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"
  ☆1,041Updated 6 months ago
• openai / prm800k
  800,000 step-level correctness labels on LLM solutions to MATH problems
  ☆1,413Updated last year
• gkamradt / LLMTest_NeedleInAHaystack
  Doing simple retrieval from LLM models at various context lengths to measure accuracy
  ☆1,451Updated last month
• sylinrl / TruthfulQA
  TruthfulQA: Measuring How Models Imitate Human Falsehoods
  ☆578Updated 10 months ago
• ruixiangcui / AGIEval
  ☆686Updated 3 months ago
• allenai / natural-instructions
  Expanding natural instructions
  ☆941Updated 9 months ago
• embeddings-benchmark / mteb
  MTEB: Massive Text Embedding Benchmark
  ☆1,798Updated this week
• EleutherAI / pythia
  The hub for EleutherAI's work on interpretability and learning dynamics
  ☆2,210Updated 3 weeks ago
• suzgunmirac / BIG-Bench-Hard
  Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
  ☆409Updated 2 months ago
• XueFuzhao / OpenMoE
  A family of open-sourced Mixture-of-Experts (MoE) Large Language Models
  ☆1,352Updated 6 months ago
• MLGroupJLU / LLM-eval-survey
  The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".
  ☆1,381Updated 3 months ago
• madaan / self-refine
  LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
  ☆561Updated 8 months ago
• eric-mitchell / direct-preference-optimization
  Reference implementation for DPO (Direct Preference Optimization)
  ☆2,024Updated last month
• allenai / dolma
  Data and tools for generating and inspecting OLMo pre-training data.
  ☆910Updated this week
• FranxYao / chain-of-thought-hub
  Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
  ☆2,513Updated last month
• keirp / automatic_prompt_engineer
  ☆1,109Updated 4 months ago
• THUDM / AgentBench
  A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)
  ☆2,115Updated 3 weeks ago
• tjunlp-lab / Awesome-LLMs-Evaluation-Papers
  The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.
  ☆679Updated 4 months ago
• zjunlp / EasyEdit
  [ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
  ☆1,764Updated this week
• AkariAsai / self-rag
  This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai,…
  ☆1,747Updated 3 months ago
• tatsu-lab / alpaca_farm
  A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
  ☆758Updated 2 months ago
• OpenLMLab / LOMO
  LOMO: LOw-Memory Optimization
  ☆974Updated 2 months ago