pengbaolin / LLM-AugmenterLinks
☆444Updated 2 years ago
Alternatives and similar repositories for LLM-Augmenter
Users that are interested in LLM-Augmenter are comparing it to the libraries listed below
Sorting:
- Forward-Looking Active REtrieval-augmented generation (FLARE)☆636Updated last year
- [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627☆490Updated 8 months ago
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆768Updated last year
- OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.☆563Updated last year
- Ask Me Anything language model prompting☆546Updated last year
- Data and code for FreshLLMs (https://arxiv.org/abs/2310.03214)☆363Updated last week
- Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03…☆538Updated last year
- ☆283Updated last year
- A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.☆813Updated 11 months ago
- Code and data for "Measuring and Narrowing the Compositionality Gap in Language Models"☆314Updated last year
- [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning☆243Updated last year
- This project is an attempt to create a common metric to test LLM's for progress in eliminating hallucinations which is the most serious c…☆222Updated 2 years ago
- Expanding natural instructions☆1,002Updated last year
- DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection and Instruction-Aware Models for Conversational AI☆503Updated 4 months ago
- ☆172Updated last year
- Source code for the paper "Active Prompting with Chain-of-Thought for Large Language Models"☆241Updated last year
- [ICLR 2023] Code for the paper "Binding Language Models in Symbolic Languages"☆318Updated last year
- ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels …☆268Updated last year
- ☆361Updated 2 years ago
- Open Instruction Generalist is an assistant trained on massive synthetic instructions to perform many millions of tasks☆208Updated last year
- Scalable training for dense retrieval models.☆298Updated last week
- AutoPrompt: Automatic Prompt Construction for Masked Language Models.☆625Updated 10 months ago
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆348Updated last year
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆546Updated last year
- [ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the dive…☆946Updated 8 months ago
- Code and model release for the paper "Task-aware Retrieval with Instructions" by Asai et al.☆162Updated last year
- [NIPS2023] RRHF & Wombat☆808Updated last year
- Simple next-token-prediction for RLHF☆227Updated last year
- Reverse Instructions to generate instruction tuning data with corpus examples☆213Updated last year
- This repository contains code for extending the Stanford Alpaca synthetic instruction tuning to existing instruction-tuned models such as…☆352Updated last year