declare-lab / instruct-evalLinks
This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
☆552Updated last year
Alternatives and similar repositories for instruct-eval
Users that are interested in instruct-eval are comparing it to the libraries listed below
Sorting:
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆365Updated last year
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆530Updated last year
- [ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark☆391Updated last year
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆632Updated last year
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆478Updated last year
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆556Updated 10 months ago
- [EMNLP 2023] Adapting Language Models to Compress Long Contexts☆318Updated last year
- [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition☆659Updated last year
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆768Updated 2 years ago
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆405Updated last year
- OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.☆580Updated 2 years ago
- A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.☆384Updated 2 years ago
- Official repository for LongChat and LongEval☆532Updated last year
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆576Updated 11 months ago
- Mass-editing thousands of facts into a transformer memory (ICLR 2023)☆532Updated last year
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆347Updated last year
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆524Updated 10 months ago
- RewardBench: the first evaluation tool for reward models.☆660Updated 5 months ago
- Datasets for Instruction Tuning of Large Language Models☆259Updated 2 years ago
- A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.☆837Updated last year
- DSIR large-scale data selection framework for language model training☆266Updated last year
- distributed trainer for LLMs☆584Updated last year
- A large-scale, fine-grained, diverse preference dataset (and models).☆356Updated last year
- Official repository for ORPO☆467Updated last year
- Learning to Compress Prompts with Gist Tokens - https://arxiv.org/abs/2304.08467☆300Updated 9 months ago
- Expanding natural instructions☆1,024Updated last year
- A curated list of awesome instruction tuning datasets, models, papers and repositories.☆344Updated 2 years ago
- ☆565Updated 2 years ago
- [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627☆501Updated last year
- Run evaluation on LLMs using human-eval benchmark☆424Updated 2 years ago