glgh / awesome-llm-human-preference-datasets
A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.
☆349Updated last year
Alternatives and similar repositories for awesome-llm-human-preference-datasets:
Users that are interested in awesome-llm-human-preference-datasets are comparing it to the libraries listed below
- RewardBench: the first evaluation tool for reward models.☆526Updated 3 weeks ago
- All available datasets for Instruction Tuning of Large Language Models☆247Updated last year
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆334Updated last year
- A large-scale, fine-grained, diverse preference dataset (and models).☆335Updated last year
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆421Updated 5 months ago
- ☆271Updated 2 months ago
- A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.☆801Updated 8 months ago
- ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels …☆254Updated last year
- Aligning Large Language Models with Human: A Survey☆726Updated last year
- Simple next-token-prediction for RLHF☆222Updated last year
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆475Updated 2 months ago
- This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.☆451Updated last year
- This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.☆511Updated 4 months ago
- ☆235Updated 2 years ago
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆514Updated last month
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆543Updated last year
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆471Updated 9 months ago
- DSIR large-scale data selection framework for language model training☆244Updated 11 months ago
- Official repository for ORPO☆445Updated 9 months ago
- [ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark☆374Updated 8 months ago
- Generative Judge for Evaluating Alignment☆230Updated last year
- [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627☆478Updated 5 months ago
- A curated list of awesome instruction tuning datasets, models, papers and repositories.☆330Updated last year
- Multi-agent Social Simulation + Efficient, Effective, and Stable alternative of RLHF. Code for the paper "Training Socially Aligned Langu…☆347Updated last year
- ☆325Updated last month
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆454Updated last year
- [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning☆236Updated last year
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆817Updated 2 weeks ago
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆316Updated last year
- LLaMA-TRL: Fine-tuning LLaMA with PPO and LoRA☆206Updated last year