Alternatives and similar repositories for LLM-eval-survey

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

• tjunlp-lab / Awesome-LLMs-Evaluation-Papers
  The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.
  ☆790Updated last year
• GaryYufei / AlignLLMHumanSurvey
  Aligning Large Language Models with Human: A Survey
  ☆740Updated 2 years ago
• FranxYao / chain-of-thought-hub
  Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
  ☆2,762Updated last year
• HillZhang1999 / llm-hallucination-survey
  Reading list of hallucination in LLMs. Check out our new survey paper: "Siren’s Song in the AI Ocean: A Survey on Hallucination in Large …
  ☆1,067Updated 2 months ago
• tatsu-lab / alpaca_eval
  An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
  ☆1,925Updated 4 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"
  ☆1,220Updated last year
• zjunlp / Prompt4ReasoningPapers
  [ACL 2023] Reasoning with Language Model Prompting: A Survey
  ☆991Updated 7 months ago
• Timothyxxx / Chain-of-ThoughtsPapers
  A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
  ☆2,095Updated 2 years ago
• WeOpenML / PandaLM
  ☆921Updated last year
• keirp / automatic_prompt_engineer
  ☆1,331Updated last year
• SinclairCoder / Instruction-Tuning-Papers
  Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
  ☆768Updated 2 years ago
• thunlp / ToolLearningPapers
  ☆915Updated last year
• Paitesanshi / LLM-Agent-Survey
  ☆2,877Updated 10 months ago
• amazon-science / auto-cot
  Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)
  ☆1,983Updated last year
• hendrycks / test
  Measuring Massive Multitask Language Understanding | ICLR 2021
  ☆1,537Updated 2 years ago
• onejune2018 / Awesome-LLM-Eval
  Awesome-LLM-Eval: a curated list of tools, datasets/benchmark, demos, leaderboard, papers, docs and models, mainly for Evaluation on LLMs…
  ☆586Updated 3 weeks ago
• jianzhnie / awesome-instruction-datasets
  A collection of awesome-prompt-datasets, awesome-instruction-dataset, to train ChatLLM such as chatgpt 收录各种各样的指令数据集, 用于训练 ChatLLM 模型。
  ☆714Updated last year
• Tongji-KGLLM / RAG-Survey
  ☆2,111Updated last year
• dqxiu / ICL_PaperList
  Paper List for In-context Learning 🌷
  ☆871Updated last year
• RenzeLou / awesome-instruction-learning
  Papers and Datasets on Instruction Tuning and Following. ✨✨✨
  ☆505Updated last year
• AkariAsai / self-rag
  This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai,…
  ☆2,272Updated last year
• HqWu-HITCS / Awesome-LLM-Survey
  An Awesome Collection for LLM Survey
  ☆381Updated 6 months ago
• zjunlp / EasyEdit
  [ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
  ☆2,666Updated 2 weeks ago
• lmmlzn / Awesome-LLMs-Datasets
  Summarize existing representative LLMs text datasets.
  ☆1,404Updated 2 months ago
• THUDM / AgentBench
  A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)
  ☆2,993Updated last month
• zjunlp / KnowledgeEditingPapers
  Must-read Papers on Knowledge Editing for Large Language Models.
  ☆1,210Updated 5 months ago
• yaodongC / awesome-instruction-dataset
  A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)
  ☆1,136Updated last year
• ruixiangcui / AGIEval
  ☆769Updated last year
• jxzhangjhu / Awesome-LLM-RAG
  Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models
  ☆1,295Updated 9 months ago
• THUDM / AgentTuning
  AgentTuning: Enabling Generalized Agent Abilities for LLMs
  ☆1,471Updated 2 years ago