Alternatives and similar repositories for OpenICL

Users that are interested in OpenICL are comparing it to the libraries listed below

• 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
• RenzeLou / awesome-instruction-learning
  Papers and Datasets on Instruction Tuning and Following. ✨✨✨
  ☆505Updated last year
• declare-lab / instruct-eval
  This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
  ☆551Updated last year
• zhilizju / Awesome-instruction-tuning
  A curated list of awesome instruction tuning datasets, models, papers and repositories.
  ☆344Updated 2 years ago
• raunak-agarwal / instruction-datasets
  Datasets for Instruction Tuning of Large Language Models
  ☆259Updated 2 years ago
• likenneth / honest_llama
  Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
  ☆560Updated 10 months ago
• nelson-liu / lost-in-the-middle
  Code and data for "Lost in the Middle: How Language Models Use Long Contexts"
  ☆365Updated last year
• princeton-nlp / ALCE
  [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627
  ☆501Updated last year
• zeno-ml / zeno-build
  Build, evaluate, understand, and fix LLM-based apps
  ☆492Updated last year
• facebookresearch / atlas
  Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03…
  ☆551Updated 2 years ago
• sail-sg / lorahub
  [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
  ☆659Updated last year
• allenai / natural-instructions
  Expanding natural instructions
  ☆1,026Updated last year
• voidism / DoLa
  Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
  ☆524Updated 10 months ago
• suzgunmirac / BIG-Bench-Hard
  Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
  ☆533Updated last year
• neelsjain / NEFTune
  Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning
  ☆405Updated last year
• kojima-takeshi188 / zero_shot_cot
  Prod Env
  ☆434Updated 2 years ago
• jeffhj / LM-reasoning
  This repository contains a collection of papers and resources on Reasoning in Large Language Models.
  ☆565Updated 2 years ago
• GaryYufei / AlignLLMHumanSurvey
  Aligning Large Language Models with Human: A Survey
  ☆739Updated 2 years ago
• p-lambda / dsir
  DSIR large-scale data selection framework for language model training
  ☆266Updated last year
• princeton-nlp / AutoCompressors
  [EMNLP 2023] Adapting Language Models to Compress Long Contexts
  ☆319Updated last year
• tatsu-lab / alpaca_farm
  A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
  ☆837Updated last year
• OpenLMLab / LEval
  [ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark
  ☆391Updated last year
• RUCAIBox / HaluEval
  This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.
  ☆532Updated last year
• reasoning-machines / pal
  PaL: Program-Aided Language Models (ICML 2023)
  ☆518Updated 2 years ago
• shizhediao / active-prompt
  Source code for the paper "Active Prompting with Chain-of-Thought for Large Language Models"
  ☆247Updated last year
• glgh / awesome-llm-human-preference-datasets
  A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.
  ☆384Updated 2 years ago
• OpenBMB / UltraFeedback
  A large-scale, fine-grained, diverse preference dataset (and models).
  ☆356Updated last year
• AI21Labs / in-context-ralm
  ☆294Updated last year
• salesforce / DialogStudio
  DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection and Instruction-Aware Models for Conversational AI
  ☆517Updated 10 months ago
• UIC-Liu-Lab / ContinualLM
  An Extensible Continual Learning Framework Focused on Language Models (LMs)
  ☆291Updated last year