shmsw25 / Channel-LM-PromptingLinks
An original implementation of "Noisy Channel Language Model Prompting for Few-Shot Text Classification"
☆131Updated 3 years ago
Alternatives and similar repositories for Channel-LM-Prompting
Users that are interested in Channel-LM-Prompting are comparing it to the libraries listed below
Sorting:
- Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 20…☆109Updated 3 years ago
- Authors' implementation of the paper Adaptive Information Seeking for Open-Domain Question Answering, published in EMNLP 2021.☆37Updated 2 years ago
- ☆78Updated 2 years ago
- Source code for ACL 2022 Paper "Prompt-based Data Augmentation for Low-Resource NLU Tasks"☆70Updated 2 years ago
- ☆117Updated 3 years ago
- Code for KE-Blender, EMNLP 2021☆19Updated 3 years ago
- Few-shot NLP benchmark for unified, rigorous eval☆91Updated 2 years ago
- ☆50Updated 3 years ago
- Code and resources for papers "Generation-Augmented Retrieval for Open-Domain Question Answering" and "Reader-Guided Passage Reranking fo…☆75Updated 3 years ago
- [NAACL'22] TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning☆93Updated 3 years ago
- ☆92Updated 3 years ago
- This repository contains the code for "How many data points is a prompt worth?"☆48Updated 4 years ago
- Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"☆62Updated 2 years ago
- ☆66Updated 3 years ago
- Code for EMNLP 2021 paper "CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization"☆46Updated 3 years ago
- EMNLP'2021: Simple Entity-centric Questions Challenge Dense Retrievers https://arxiv.org/abs/2109.08535☆146Updated 3 years ago
- TBC☆27Updated 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
- Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning☆100Updated 2 years ago
- [NAACL 2021] Factual Probing Is [MASK]: Learning vs. Learning to Recall https://arxiv.org/abs/2104.05240☆168Updated 2 years ago
- Code for our paper "Semantic Representation for Dialogue Modeling" in ACL2021☆45Updated 2 years ago
- ☆58Updated 3 years ago
- Code base of In-Context Learning for Dialogue State tracking☆45Updated last year
- Structural Adapters in Pretrained Language Models for AMR-to-Text Generation (EMNLP 2021)☆29Updated 2 years ago
- ☆56Updated 4 years ago
- ☆39Updated 4 years ago
- source code for paper: WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach.☆56Updated 4 years ago
- ☆90Updated last year
- ☆88Updated 2 years ago
- Faithfulness and factuality annotations of XSum summaries from our paper "On Faithfulness and Factuality in Abstractive Summarization" (h…☆82Updated 4 years ago