potsawee / selfcheckgptLinks
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
☆601Updated last year
Alternatives and similar repositories for selfcheckgpt
Users that are interested in selfcheckgpt are comparing it to the libraries listed below
Sorting:
- This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.☆552Updated last year
- Code for paper "G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment"☆408Updated 2 years ago
- A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic…☆415Updated 9 months ago
- Github repository for "RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models"☆223Updated last year
- List of papers on hallucination detection in LLMs.☆1,041Updated last month
- [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627☆510Updated last year
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆373Updated 2 years ago
- RefChecker provides automatic checking pipeline and benchmark dataset for detecting fine-grained hallucinations generated by Large Langua…☆417Updated 8 months ago
- Evaluate your LLM's response with Prometheus and GPT4 💯☆1,043Updated 9 months ago
- TruthfulQA: Measuring How Models Imitate Human Falsehoods☆878Updated last year
- Generative Representational Instruction Tuning☆686Updated 7 months ago
- Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs☆315Updated last year
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆535Updated last year
- Forward-Looking Active REtrieval-augmented generation (FLARE)☆666Updated 2 years ago
- A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.☆386Updated 2 years ago
- ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels …☆285Updated 2 years ago
- [ICLR 2024 & NeurIPS 2023 WS] An Evaluator LM that is open-source, offers reproducible evaluation, and inexpensive to use. Specifically d…☆309Updated 2 years ago
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆548Updated last year
- LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.☆778Updated last year
- Official repository for ORPO☆469Updated last year
- Data and code for FreshLLMs (https://arxiv.org/abs/2310.03214)☆386Updated 2 months ago
- Codebase for reproducing the experiments of the semantic uncertainty paper (short-phrase and sentence-length experiments).☆404Updated last year
- Awesome-LLM-Prompt-Optimization: a curated list of advanced prompt optimization and tuning methods in Large Language Models☆396Updated last year
- ☆564Updated last year
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆570Updated last year
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆551Updated last year
- Automated Evaluation of RAG Systems☆689Updated 10 months ago
- Benchmarking long-form factuality in large language models. Original code for our paper "Long-form factuality in large language models".☆665Updated this week
- This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.☆565Updated last year
- RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.☆575Updated this week