yuh-zha / AlignScore
ACL2023 - AlignScore, a metric for factual consistency evaluation.
☆127Updated last year
Alternatives and similar repositories for AlignScore:
Users that are interested in AlignScore are comparing it to the libraries listed below
- Token-level Reference-free Hallucination Detection☆94Updated last year
- ☆174Updated 2 years ago
- Codebase, data and models for the SummaC paper in TACL☆91Updated 2 months ago
- ☆278Updated last year
- Github repository for "RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models"☆170Updated 4 months ago
- Companion code for FanOutQA: Multi-Hop, Multi-Document Question Answering for Large Language Models (ACL 2024)☆53Updated last month
- Fact-Checking the Output of Generative Large Language Models in both Annotation and Evaluation.☆95Updated last year
- [Data + code] ExpertQA : Expert-Curated Questions and Attributed Answers☆128Updated last year
- Source Code of Paper "GPTScore: Evaluate as You Desire"☆246Updated 2 years ago
- Code, datasets, models for the paper "Automatic Evaluation of Attribution by Large Language Models"☆56Updated last year
- Repository for EMNLP 2022 Paper: Towards a Unified Multi-Dimensional Evaluator for Text Generation☆198Updated last year
- This is the code for our KILT leaderboard submissions (KGI + Re2G models).☆153Updated last year
- RARR: Researching and Revising What Language Models Say, Using Language Models☆46Updated last year
- Repository for MuSiQue: Multi-hop Questions via Single-hop Question Composition, TACL 2022☆128Updated 10 months ago
- Code and model release for the paper "Task-aware Retrieval with Instructions" by Asai et al.☆162Updated last year
- [IJCAI 2024] FactCHD: Benchmarking Fact-Conflicting Hallucination Detection☆87Updated 11 months ago
- Code and data accompanying the paper "TRUE: Re-evaluating Factual Consistency Evaluation".☆78Updated last month
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆58Updated last year
- Code and Data for "Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering"☆83Updated 8 months ago
- Code for Search-in-the-Chain: Towards Accurate, Credible and Traceable Large Language Models for Knowledge-intensive Tasks☆55Updated last year
- Scalable training for dense retrieval models.☆292Updated last month
- Code, datasets, and checkpoints for the paper "Improving Passage Retrieval with Zero-Shot Question Generation (EMNLP 2022)"☆101Updated 2 years ago
- A toolkit for building dense retrievers with deep language models.☆60Updated 3 years ago
- A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic…☆340Updated last week
- ☆101Updated last year
- [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627☆480Updated 6 months ago
- ☆39Updated 2 years ago
- BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval☆99Updated last week
- Code and data accompanying our paper on arXiv "Faithful Chain-of-Thought Reasoning".☆158Updated 11 months ago
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆69Updated 8 months ago