clinicalml / cotrain-prompting
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
- NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks☆20Updated 2 years ago
- In-BoXBART: Get Instructions into Biomedical Multi-task Learning☆14Updated 2 years ago
- Code for preprint: Summarizing Differences between Text Distributions with Natural Language☆42Updated 2 years ago
- ☆44Updated last year
- Code for paper "Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?"☆21Updated 4 years ago
- Code and pre-trained models for "ReasonBert: Pre-trained to Reason with Distant Supervision", EMNLP'2021☆29Updated 2 years ago
- ☆24Updated 4 years ago
- Code for Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals.☆18Updated 3 years ago
- Code associated with the paper: "Few-Shot Self-Rationalization with Natural Language Prompts"☆13Updated 2 years ago
- Repository for Teaching Broad Reasoning Skills for Multi-Step QA by Generating Hard Contexts, EMNLP22☆19Updated last year
- Code for NAACL 2022 paper "Reframing Human-AI Collaboration for Generating Free-Text Explanations"☆31Updated last year
- [EMNLP 2021] Dataset and PyTorch Code for ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning☆11Updated 2 years ago
- Few-shot Learning with Auxiliary Data☆27Updated last year
- ☆27Updated last year
- ☆34Updated 3 years ago
- CIKM 2022: Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models☆11Updated 2 years ago
- Discretized Integrated Gradients for Explaining Language Models (EMNLP 2021)☆27Updated 3 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)☆71Updated 2 years ago
- This repository contains the code for "How many data points is a prompt worth?"☆48Updated 3 years ago
- This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"☆27Updated last year
- Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"☆53Updated last year
- Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"☆14Updated 4 years ago
- A dataset for realistic evaluation of noisy label methods☆14Updated last year
- This is the official implementation for our ACL 2024 paper: "Causal Estimation of Memorisation Profiles".☆20Updated 2 weeks ago
- EMNLP 2021 - Frustratingly Simple Pretraining Alternatives to Masked Language Modeling☆31Updated 3 years ago
- Code Repo for "Differentiable Open-Ended Commonsense Reasoning" (NAACL 2021)☆31Updated last year
- Findings of ACL'2023: Optimizing Test-Time Query Representations for Dense Retrieval☆30Updated last year
- ☆24Updated 3 years ago
- [EMNLP 2021] MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations☆30Updated 2 years ago