thunlp / FalseQA
Repo for ACL2023 paper "Won't Get Fooled Again: Answering Questions with False Premises"
☆22Updated last year
Alternatives and similar repositories for FalseQA:
Users that are interested in FalseQA are comparing it to the libraries listed below
- Repo for paper: Controllable Text Generation with Language Constraints☆19Updated last year
- ☆28Updated last year
- ☆86Updated last year
- 🩺 A collection of ChatGPT evaluation reports on various bechmarks.☆48Updated 2 years ago
- Code for the paper "Open Domain Question Answering with A Unified Knowledge Interface" (ACL 2022)☆57Updated last year
- Technical Report: Is ChatGPT a Good NLG Evaluator? A Preliminary Study☆43Updated 2 years ago
- ☆42Updated last year
- Resources for our ACL 2023 paper: Distilling Script Knowledge from Large Language Models for Constrained Language Planning☆36Updated last year
- This code accompanies the paper DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering.☆17Updated 2 years ago
- ☆31Updated last year
- ☆16Updated 3 years ago
- First explanation metric (diagnostic report) for text generation evaluation☆61Updated last month
- Official repo for ACL 2023 paper Code4Struct: Code Generation for Few-Shot Structured Prediction from Natural Language.☆41Updated last year
- ☆15Updated 3 years ago
- ☆33Updated 2 years ago
- Target-oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curation (EMNLP 2023)☆30Updated 11 months ago
- ☆45Updated 11 months ago
- A Survey of Neural Dialogue Systems☆19Updated 3 years ago
- ☆16Updated last month
- ☆82Updated 2 years ago
- ☆17Updated 2 years ago
- Code and Data for NeurIPS2021 Paper "A Dataset for Answering Time-Sensitive Questions"☆68Updated 3 years ago
- Code for KE-Blender, EMNLP 2021☆19Updated 3 years ago
- ☆73Updated 10 months ago
- Code for ACL2021 long paper: Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases☆29Updated 3 years ago
- Code for EMNLP 2021 paper "CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization"☆45Updated 3 years ago
- Code for Aesop: Paraphrase Generation with Adaptive Syntactic Control (EMNLP 2021)☆27Updated 3 years ago
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆39Updated 2 years ago
- Official Implementation of "Probing Language Models for Pre-training Data Detection"☆19Updated 4 months ago
- ☆21Updated last year