Alternatives and similar repositories for Instruction-Tuning-Papers

Users that are interested in Instruction-Tuning-Papers are comparing it to the libraries listed below

• dqxiu / ICL_PaperList
  Paper List for In-context Learning 🌷
  ☆854Updated 7 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"
  ☆1,171Updated last year
• RenzeLou / awesome-instruction-learning
  Papers and Datasets on Instruction Tuning and Following. ✨✨✨
  ☆498Updated last year
• jeffhj / LM-reasoning
  This repository contains a collection of papers and resources on Reasoning in Large Language Models.
  ☆565Updated last year
• Shark-NLP / OpenICL
  OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.
  ☆561Updated last year
• allenai / natural-instructions
  Expanding natural instructions
  ☆998Updated last year
• GaryYufei / AlignLLMHumanSurvey
  Aligning Large Language Models with Human: A Survey
  ☆730Updated last year
• zjunlp / Prompt4ReasoningPapers
  [ACL 2023] Reasoning with Language Model Prompting: A Survey
  ☆961Updated 2 weeks ago
• facebookresearch / atlas
  Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03…
  ☆537Updated last year
• GanjinZero / RRHF
  [NIPS2023] RRHF & Wombat
  ☆809Updated 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.
  ☆547Updated last year
• kojima-takeshi188 / zero_shot_cot
  Prod Env
  ☆421Updated last year
• likenneth / honest_llama
  Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
  ☆527Updated 4 months ago
• ContextualAI / HALOs
  A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).
  ☆851Updated last week
• facebookresearch / contriever
  Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning
  ☆737Updated 2 years ago
• hkust-nlp / deita
  Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]
  ☆555Updated 5 months ago
• princeton-nlp / ALCE
  [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627
  ☆486Updated 7 months ago
• voidism / DoLa
  Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
  ☆493Updated 4 months ago
• sail-sg / lorahub
  [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
  ☆637Updated 10 months ago
• suzgunmirac / BIG-Bench-Hard
  Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
  ☆495Updated 11 months ago
• tatsu-lab / alpaca_farm
  A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
  ☆812Updated 11 months ago
• google-research / prompt-tuning
  Original Implementation of Prompt Tuning from Lester, et al, 2021
  ☆681Updated 2 months ago
• raunak-agarwal / instruction-datasets
  All available datasets for Instruction Tuning of Large Language Models
  ☆250Updated last year
• neelsjain / NEFTune
  Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning
  ☆396Updated last year
• yaodongC / awesome-instruction-dataset
  A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)
  ☆1,118Updated last year
• zhilizju / Awesome-instruction-tuning
  A curated list of awesome instruction tuning datasets, models, papers and repositories.
  ☆335Updated last year
• ruixiangcui / AGIEval
  ☆754Updated 11 months ago
• teacherpeterpan / self-correction-llm-papers
  This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.
  ☆526Updated 7 months ago
• nelson-liu / lost-in-the-middle
  Code and data for "Lost in the Middle: How Language Models Use Long Contexts"
  ☆344Updated last year
• madaan / self-refine
  LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
  ☆699Updated 8 months ago