EdinburghNLP / awesome-hallucination-detectionLinks
List of papers on hallucination detection in LLMs.
☆917Updated last month
Alternatives and similar repositories for awesome-hallucination-detection
Users that are interested in awesome-hallucination-detection are comparing it to the libraries listed below
Sorting:
- SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models☆543Updated last year
- This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.☆484Updated last year
- Codebase for reproducing the experiments of the semantic uncertainty paper (short-phrase and sentence-length experiments).☆338Updated last year
- Must-read Papers on Knowledge Editing for Large Language Models.☆1,109Updated 2 weeks ago
- A reading list on LLM based Synthetic Data Generation 🔥☆1,338Updated last month
- The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.☆776Updated last year
- Evaluate your LLM's response with Prometheus and GPT4 💯☆959Updated 2 months ago
- Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models☆768Updated last month
- Representation Engineering: A Top-Down Approach to AI Transparency☆848Updated 11 months ago
- ☆579Updated last month
- Awesome-LLM-Prompt-Optimization: a curated list of advanced prompt optimization and tuning methods in Large Language Models☆352Updated last year
- This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.☆536Updated 8 months ago
- A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic…☆359Updated 3 months ago
- ☆377Updated last month
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆502Updated 5 months ago
- A collection of benchmarks and datasets for evaluating LLM.☆472Updated last year
- [ICML 2024] TrustLLM: Trustworthiness in Large Language Models☆580Updated 3 weeks ago
- Generative Representational Instruction Tuning☆658Updated 3 weeks ago
- Aligning Large Language Models with Human: A Survey☆730Updated last year
- TruthfulQA: Measuring How Models Imitate Human Falsehoods☆761Updated 6 months ago
- Chat Templates for 🤗 HuggingFace Large Language Models☆684Updated 7 months ago
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆350Updated last year
- Github repository for "RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models"☆191Updated 7 months ago
- [ACL 2023] Reasoning with Language Model Prompting: A Survey☆971Updated last month
- This repository collects all relevant resources about interpretability in LLMs☆362Updated 8 months ago
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆538Updated 5 months ago
- LLM hallucination paper list☆318Updated last year
- Reading list of hallucination in LLMs. Check out our new survey paper: "Siren’s Song in the AI Ocean: A Survey on Hallucination in Large …☆1,026Updated 7 months ago
- [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627☆490Updated 9 months ago
- Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs☆260Updated last year