amazon-science / summary-reference-revision
☆19Updated 7 months ago
Related projects ⓘ
Alternatives and complementary repositories for summary-reference-revision
- ☆80Updated last year
- Codebase, data and models for the SummaC paper in TACL☆85Updated 11 months ago
- Dataset, metrics, and models for TACL 2023 paper MACSUM: Controllable Summarization with Mixed Attributes.☆34Updated last year
- ☆11Updated 2 months ago
- Code, datasets, and checkpoints for the paper "Improving Passage Retrieval with Zero-Shot Question Generation (EMNLP 2022)"☆96Updated last year
- ☆25Updated 2 years ago
- Official implementation of the ACL 2023 paper: "Zero-shot Faithful Factual Error Correction"☆17Updated last year
- Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors (ACL 2023)☆22Updated 7 months ago
- FRANK: Factuality Evaluation Benchmark☆52Updated last year
- We construct and introduce DIALFACT, a testing benchmark dataset crowd-annotated conversational claims, paired with pieces of evidence fr…☆41Updated 2 years ago
- ☆35Updated last year
- This repository contains the dataset and code for "WiCE: Real-World Entailment for Claims in Wikipedia" in EMNLP 2023.☆40Updated 11 months ago
- The code implementation of the EMNLP2022 paper: DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text Gene…☆25Updated last year
- Detect hallucinated tokens for conditional sequence generation.☆63Updated 2 years ago
- Code for EMNLP 2021 paper "CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization"☆45Updated 2 years ago
- ☆28Updated 9 months ago
- Code base of In-Context Learning for Dialogue State tracking☆44Updated last year
- First explanation metric (diagnostic report) for text generation evaluation☆61Updated 4 months ago
- Repository for ACL'22 paper: Dynamic Latent Extraction for Abstractive Long-Input Summarization☆55Updated last year
- ☆44Updated last year
- Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning☆97Updated last year
- ☆48Updated last year
- ☆83Updated last year
- Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"☆60Updated last year
- ☆23Updated last year
- This code accompanies the paper DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering.☆18Updated last year
- An original implementation of "Noisy Channel Language Model Prompting for Few-Shot Text Classification"☆131Updated 2 years ago
- ☆42Updated last year
- ☆13Updated 2 years ago
- Official Code for the papers: "Controlled Text Generation as Continuous Optimization with Multiple Constraints" and "Gradient-based Const…☆59Updated 8 months ago