cloudygoose / blindspot_nlgLinks
☆19Updated last year
Alternatives and similar repositories for blindspot_nlg
Users that are interested in blindspot_nlg are comparing it to the libraries listed below
Sorting:
- AbstainQA, ACL 2024☆25Updated 7 months ago
- ☆27Updated last year
- Code for the ACL 2023 Paper "Fact-Checking Complex Claims with Program-Guided Reasoning"☆55Updated last year
- ☆15Updated 2 years ago
- Codes for ACL 2023 Paper "Fact-Checking Complex Claims with Program-Guided Reasoning"☆31Updated 2 years ago
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆59Updated last year
- Code for ACL 2023 paper "BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases".☆21Updated last year
- A codebase for ACL 2023 paper: Mitigating Label Biases for In-context Learning☆10Updated last year
- Official code repository for the main conference paper in ACL2023: COLA: Contextualized Commonsense Causality Reasoning from the Causal I…☆30Updated 2 years ago
- Augmenting Statistical Models with Natural Language Parameters☆26Updated 8 months ago
- ☆59Updated 6 months ago
- Official implementation of the ACL 2023 paper: "Zero-shot Faithful Factual Error Correction"☆17Updated last year
- Code and dataset for the paper: Generating Literal and Implied Subquestions to Fact-check Complex Claims☆26Updated 2 years ago
- This repository contains the dataset and code for "WiCE: Real-World Entailment for Claims in Wikipedia" in EMNLP 2023.☆41Updated last year
- ☆44Updated 6 months ago
- ☆27Updated 2 years ago
- WikiWhy is a new benchmark for evaluating LLMs' ability to explain between cause-effect relationships. It is a QA dataset containing 9000…☆47Updated last year
- ☆11Updated last year
- ☆75Updated last year
- ☆50Updated last year
- Code for "From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Mod…☆37Updated last year
- Text generation using language models with multiple exit heads☆16Updated 3 weeks ago
- ☆11Updated 8 months ago
- The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning (NeurIPS 2022)☆15Updated 2 years ago
- Codes for the EMNLP2021 paper: Benchmarking Commonsense Knowledge Base Population (https://aclanthology.org/2021.emnlp-main.705.pdf). An …☆26Updated last year
- ☆17Updated last year
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆68Updated 2 years ago
- This code accompanies the paper DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering.☆17Updated 2 years ago
- ☆17Updated 4 years ago
- ☆86Updated 2 years ago