RUCAIBox / HaluEval
This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.
☆458Updated last year
Alternatives and similar repositories for HaluEval:
Users that are interested in HaluEval are comparing it to the libraries listed below
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆338Updated last year
- A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic…☆337Updated 10 months ago
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆478Updated 2 months ago
- [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627☆480Updated 6 months ago
- Source Code of Paper "GPTScore: Evaluate as You Desire"☆245Updated 2 years ago
- ☆278Updated last year
- The repository for the survey paper <<Survey on Large Language Models Factuality: Knowledge, Retrieval and Domain-Specificity>>☆337Updated 11 months ago
- SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models☆509Updated 9 months ago
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆546Updated 4 months ago
- A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.☆353Updated last year
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆516Updated 2 months ago
- RewardBench: the first evaluation tool for reward models.☆547Updated last month
- ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels …☆257Updated last year
- A Survey of Attributions for Large Language Models☆198Updated 7 months ago
- Generative Judge for Evaluating Alignment☆235Updated last year
- [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning☆237Updated last year
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆427Updated 5 months ago
- This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.☆518Updated 5 months ago
- Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning☆724Updated 2 years ago
- Data and Code for Program of Thoughts (TMLR 2023)☆267Updated 11 months ago
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆545Updated last year
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆478Updated 9 months ago
- Prod Env☆414Updated last year
- ☆274Updated 3 months ago
- ☆175Updated 2 years ago
- LLM hallucination paper list☆314Updated last year
- Repository for Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions, ACL23☆201Updated 10 months ago
- Generative Representational Instruction Tuning☆617Updated last month
- Github repository for "RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models"☆168Updated 4 months ago
- [ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark☆375Updated 9 months ago