Libr-AI / do-not-answerLinks
Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs
☆260Updated last year
Alternatives and similar repositories for do-not-answer
Users that are interested in do-not-answer 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.☆484Updated last year
- SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models☆543Updated last year
- Github repository for "RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models"☆191Updated 7 months ago
- 【ACL 2024】 SALAD benchmark & MD-Judge☆154Updated 4 months ago
- Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs☆84Updated 7 months ago
- BeaverTails is a collection of datasets designed to facilitate research on safety alignment in large language models (LLMs).☆148Updated last year
- Official github repo for SafetyBench, a comprehensive benchmark to evaluate LLMs' safety. [ACL 2024]☆228Updated last year
- We jailbreak GPT-3.5 Turbo’s safety guardrails by fine-tuning it on only 10 adversarially designed examples, at a cost of less than $0.20…☆307Updated last year
- This repository provides an original implementation of Detecting Pretraining Data from Large Language Models by *Weijia Shi, *Anirudh Aji…☆226Updated last year
- [NAACL2024] Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey☆104Updated 11 months ago
- Generative Judge for Evaluating Alignment☆244Updated last year
- S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models☆73Updated 2 weeks ago
- A Comprehensive Assessment of Trustworthiness in GPT Models☆294Updated 10 months ago
- Code and data of the EMNLP 2022 paper "Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversaria…☆52Updated 2 years ago
- Codes and datasets of the paper Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment☆102Updated last year
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆502Updated 5 months ago
- ☆215Updated 4 years ago
- Official Repository for ACL 2024 Paper SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding☆135Updated 11 months ago
- ✨✨Latest Papers about LLM-based Evaluators☆30Updated last year
- A Survey of Attributions for Large Language Models☆205Updated 10 months ago
- [NDSS'25 Best Technical Poster] A collection of automated evaluators for assessing jailbreak attempts.☆161Updated 3 months ago
- Multilingual Large Language Models Evaluation Benchmark☆126Updated 10 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
- R-Judge: Benchmarking Safety Risk Awareness for LLM Agents (EMNLP Findings 2024)☆80Updated 2 months ago
- Improving Alignment and Robustness with Circuit Breakers☆218Updated 9 months ago
- ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels …☆272Updated last year
- A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.☆369Updated last year
- ☆377Updated last month
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆350Updated last year
- Code for paper "Defending aginast LLM Jailbreaking via Backtranslation"☆29Updated 10 months ago