SinclairCoder / Instruction-Tuning-PapersLinks
Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
☆769Updated last year
Alternatives and similar repositories for Instruction-Tuning-Papers
Users that are interested in Instruction-Tuning-Papers are comparing it to the libraries listed below
Sorting:
- This repository contains a collection of papers and resources on Reasoning in Large Language Models.☆564Updated last year
- OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.☆563Updated last year
- Papers and Datasets on Instruction Tuning and Following. ✨✨✨☆497Updated last year
- Aligning Large Language Models with Human: A Survey☆730Updated last year
- Paper List for In-context Learning 🌷☆853Updated 8 months ago
- Expanding natural instructions☆1,006Updated last year
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆545Updated last year
- [NIPS2023] RRHF & Wombat☆808Updated last year
- Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"☆1,180Updated last year
- Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning☆741Updated 2 years ago
- [ACL 2023] Reasoning with Language Model Prompting: A Survey☆966Updated last month
- [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627☆490Updated 8 months ago
- Prod Env☆424Updated last year
- Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03…☆539Updated last year
- A curated list of awesome instruction tuning datasets, models, papers and repositories.☆335Updated 2 years ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆859Updated 3 weeks ago
- A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.☆813Updated 11 months ago
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆532Updated 5 months ago
- [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition☆640Updated 11 months ago
- A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)☆1,124Updated last year
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆349Updated last year
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆497Updated last year
- ☆754Updated last year
- This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.☆533Updated 8 months ago
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆501Updated 5 months ago
- All available datasets for Instruction Tuning of Large Language Models☆253Updated last year
- Original Implementation of Prompt Tuning from Lester, et al, 2021☆685Updated 3 months ago
- Generative Representational Instruction Tuning☆654Updated 3 months ago
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆557Updated 6 months ago
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆335Updated last year