EdinburghNLP / awesome-hallucination-detectionLinks
List of papers on hallucination detection in LLMs.
☆896Updated last week
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☆537Updated 11 months ago
- Must-read Papers on Knowledge Editing for Large Language Models.☆1,101Updated this week
- Codebase for reproducing the experiments of the semantic uncertainty paper (short-phrase and sentence-length experiments).☆329Updated last year
- This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.☆479Updated 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 …☆1,021Updated 7 months ago
- This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.☆531Updated 7 months ago
- Evaluate your LLM's response with Prometheus and GPT4 💯☆952Updated 2 months ago
- A reading list on LLM based Synthetic Data Generation 🔥☆1,310Updated 2 weeks ago
- Representation Engineering: A Top-Down Approach to AI Transparency☆835Updated 10 months ago
- Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models☆759Updated last month
- LLM hallucination paper list☆318Updated last year
- A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic…☆353Updated 2 months ago
- Generative Representational Instruction Tuning☆654Updated 3 months ago
- ☆363Updated 3 weeks ago
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆498Updated 5 months ago
- The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.☆772Updated last year
- This repository collects all relevant resources about interpretability in LLMs☆358Updated 7 months ago
- Repository for "MultiHop-RAG: A Dataset for Evaluating Retrieval-Augmented Generation Across Documents" (COLM 2024)☆330Updated 2 months ago
- ☆573Updated 3 weeks ago
- [ACL 2023] Reasoning with Language Model Prompting: A Survey☆963Updated last month
- Awesome-LLM-Prompt-Optimization: a curated list of advanced prompt optimization and tuning methods in Large Language Models☆350Updated last year
- [ICML 2024] TrustLLM: Trustworthiness in Large Language Models☆574Updated 3 months ago
- The repository for the survey paper <<Survey on Large Language Models Factuality: Knowledge, Retrieval and Domain-Specificity>>☆340Updated last year
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆348Updated last year
- Official repository for ORPO☆455Updated last year
- Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs☆254Updated last year
- Papers and Datasets on Instruction Tuning and Following. ✨✨✨☆497Updated last year
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆859Updated 2 weeks ago
- ☆685Updated last month
- Stanford NLP Python library for Representation Finetuning (ReFT)☆1,490Updated 4 months ago