shmsw25 / Channel-LM-Prompting
An original implementation of "Noisy Channel Language Model Prompting for Few-Shot Text Classification"
☆131Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Channel-LM-Prompting
- Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 20…☆106Updated 2 years ago
- Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"☆60Updated last year
- Code and resources for papers "Generation-Augmented Retrieval for Open-Domain Question Answering" and "Reader-Guided Passage Reranking fo…☆73Updated 2 years ago
- ☆78Updated 2 years ago
- EMNLP'2021: Simple Entity-centric Questions Challenge Dense Retrievers https://arxiv.org/abs/2109.08535☆143Updated 2 years ago
- Source code for ACL 2022 Paper "Prompt-based Data Augmentation for Low-Resource NLU Tasks"☆68Updated last year
- Code for EMNLP 2021 paper "CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization"☆45Updated 2 years ago
- ☆66Updated 3 years ago
- ☆116Updated 2 years ago
- Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning☆97Updated last year
- Authors' implementation of the paper Adaptive Information Seeking for Open-Domain Question Answering, published in EMNLP 2021.☆37Updated last year
- Code for our paper "Semantic Representation for Dialogue Modeling" in ACL2021☆44Updated 2 years ago
- Few-shot NLP benchmark for unified, rigorous eval☆91Updated 2 years ago
- TBC☆26Updated 2 years ago
- This project maintains a reading list for general text generation tasks☆65Updated 2 years ago
- [NAACL'22] TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning☆92Updated 2 years ago
- Code, datasets, and checkpoints for the paper "Improving Passage Retrieval with Zero-Shot Question Generation (EMNLP 2022)"☆96Updated last year
- This repository contains the code for "How many data points is a prompt worth?"☆49Updated 3 years ago
- [NAACL 2021] Factual Probing Is [MASK]: Learning vs. Learning to Recall https://arxiv.org/abs/2104.05240☆167Updated 2 years ago
- ☆58Updated 2 years ago
- ☆88Updated 2 years ago
- We construct and introduce DIALFACT, a testing benchmark dataset crowd-annotated conversational claims, paired with pieces of evidence fr…☆41Updated 2 years ago
- ConTextual Mask Auto-Encoder for Dense Passage Retrieval☆35Updated 2 weeks ago
- Code for Editing Factual Knowledge in Language Models☆135Updated 2 years ago
- Code for KE-Blender, EMNLP 2021☆19Updated 2 years ago
- Zero-shot dialogue state tracking (DST)☆82Updated 3 years ago
- The source code for the Cutoff data augmentation approach proposed in this paper: "A Simple but Tough-to-Beat Data Augmentation Approach …☆62Updated 4 years ago
- Faithfulness and factuality annotations of XSum summaries from our paper "On Faithfulness and Factuality in Abstractive Summarization" (h…☆81Updated 3 years ago
- Repository for ACL'22 paper: Dynamic Latent Extraction for Abstractive Long-Input Summarization☆55Updated last year
- ☆80Updated last year