Shark-NLP / OpenICLLinks
OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.
☆574Updated 2 years ago
Alternatives and similar repositories for OpenICL
Users that are interested in OpenICL are comparing it to the libraries listed below
Sorting:
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆770Updated 2 years ago
- Papers and Datasets on Instruction Tuning and Following. ✨✨✨☆499Updated last year
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆547Updated last year
- Prod Env☆430Updated last year
- [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627☆498Updated 11 months ago
- Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03…☆547Updated last year
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆549Updated 8 months ago
- [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition☆653Updated last year
- Datasets for Instruction Tuning of Large Language Models☆257Updated last year
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆517Updated 8 months ago
- Build, evaluate, understand, and fix LLM-based apps☆490Updated last year
- This repository contains a collection of papers and resources on Reasoning in Large Language Models.☆564Updated last year
- Source code for the paper "Active Prompting with Chain-of-Thought for Large Language Models"☆245Updated last year
- A curated list of awesome instruction tuning datasets, models, papers and repositories.☆339Updated 2 years ago
- Expanding natural instructions☆1,020Updated last year
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆515Updated last year
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆360Updated last year
- This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.☆512Updated last year
- Aligning Large Language Models with Human: A Survey☆733Updated 2 years ago
- ☆291Updated last year
- Large Language Models Are Reasoning Teachers (ACL 2023)☆341Updated 6 months ago
- DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection and Instruction-Aware Models for Conversational AI☆517Updated 8 months ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆888Updated this week
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆570Updated 9 months ago
- PaL: Program-Aided Language Models (ICML 2023)☆511Updated 2 years ago
- A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.☆825Updated last year
- ☆763Updated last year
- ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels …☆277Updated 2 years ago
- Learning to Compress Prompts with Gist Tokens - https://arxiv.org/abs/2304.08467☆295Updated 7 months ago
- [EMNLP 2023] Adapting Language Models to Compress Long Contexts☆312Updated last year