clinicalml / cotrain-promptingLinks
Code for co-training large language models (e.g. T0) with smaller ones (e.g. BERT) to boost few-shot performance
☆17Updated 2 years ago
Alternatives and similar repositories for cotrain-prompting
Users that are interested in cotrain-prompting are comparing it to the libraries listed below
Sorting:
- Code and pre-trained models for "ReasonBert: Pre-trained to Reason with Distant Supervision", EMNLP'2021☆29Updated 2 years ago
- ☆45Updated last year
- This repository contains the code for "How many data points is a prompt worth?"☆48Updated 4 years ago
- This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”☆85Updated 3 years ago
- ☆54Updated 2 years ago
- The codes for our ACL'22 paper: PRBOOST: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.☆35Updated 3 years ago
- Code and datasets for the EMNLP 2020 paper "Calibration of Pre-trained Transformers"☆61Updated 2 years ago
- ☆35Updated 3 years ago
- Implementation of the paper "FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations (NAACL 2022)"☆50Updated 2 years ago
- Few-shot NLP benchmark for unified, rigorous eval☆91Updated 3 years ago
- Code for NAACL 2022 paper "Reframing Human-AI Collaboration for Generating Free-Text Explanations"☆31Updated 2 years ago
- Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"☆55Updated 2 years ago
- Repository for Teaching Broad Reasoning Skills for Multi-Step QA by Generating Hard Contexts, EMNLP22☆19Updated 2 years ago
- The official implemetation of "Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks" (NAACL 2022).☆44Updated 2 years ago
- Code for preprint: Summarizing Differences between Text Distributions with Natural Language☆42Updated 2 years ago
- Code associated with the paper: "Few-Shot Self-Rationalization with Natural Language Prompts"☆13Updated 3 years ago
- NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks☆20Updated 3 years ago
- This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"☆27Updated 2 years ago
- Implementation of the paper: "Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning…☆22Updated 3 years ago
- PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)☆73Updated 3 years ago
- Code for NAACL 2021 full paper "Efficient Attentions for Long Document Summarization"☆67Updated 4 years ago
- [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding☆67Updated 2 years ago
- Contrastive Fact Verification☆73Updated 2 years ago
- The implementation for "Open Relation Modeling: Learning to Define Relations between Entities" (Findings of ACL '22)☆12Updated 3 years ago
- NAACL 2022: Can Rationalization Improve Robustness? https://arxiv.org/abs/2204.11790☆27Updated 2 years ago
- [EMNLP 2021] MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations☆31Updated 3 years ago
- TBC☆27Updated 2 years ago
- Code for the ACL2022 paper "Synthetic Question Value Estimation for Domain Adaptation of Question Answering"☆17Updated 3 years ago
- Code for paper "Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?"☆22Updated 4 years ago
- EMNLP 2021 - Frustratingly Simple Pretraining Alternatives to Masked Language Modeling☆31Updated 3 years ago