fywalter / simptcLinks
Code and datasets for EMNLP 2022 paper: Beyond prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations
☆19Updated last year
Alternatives and similar repositories for simptc
Users that are interested in simptc are comparing it to the libraries listed below
Sorting:
- PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models☆109Updated 3 years ago
- A library for parameter-efficient and composable transfer learning for NLP with sparse fine-tunings.☆74Updated 11 months ago
- Code for Editing Factual Knowledge in Language Models☆139Updated 3 years ago
- TBC☆27Updated 2 years ago
- Code and model release for the paper "Task-aware Retrieval with Instructions" by Asai et al.☆163Updated last year
- Interpreting Language Models with Contrastive Explanations (EMNLP 2022 Best Paper Honorable Mention)☆62Updated 3 years ago
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆40Updated 2 years ago
- This repository contains the code for paper Prompting ELECTRA Few-Shot Learning with Discriminative Pre-Trained Models.☆48Updated 3 years ago
- Token-level Reference-free Hallucination Detection☆95Updated 2 years ago
- [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding☆67Updated 2 years ago
- Repo for "On Learning to Summarize with Large Language Models as References"☆44Updated 2 years ago
- [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.☆102Updated 2 years ago
- [ICML 2023] Exploring the Benefits of Training Expert Language Models over Instruction Tuning☆99Updated 2 years ago
- The official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".☆75Updated 2 years ago
- Retrieval as Attention☆83Updated 2 years ago
- Code, datasets, models for the paper "Automatic Evaluation of Attribution by Large Language Models"☆56Updated 2 years ago
- [Data + code] ExpertQA : Expert-Curated Questions and Attributed Answers☆131Updated last year
- ☆117Updated 3 years ago
- Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.☆180Updated 2 years ago
- [EMNLP 2022] This is the code repo for our EMNLP‘22 paper "COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contr…☆49Updated last year
- This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”☆85Updated 3 years ago
- ☆21Updated 2 years ago
- The data and the PyTorch implementation for the models and experiments in the paper "Exploiting Asymmetry for Synthetic Training Data Gen…☆63Updated 2 years ago
- ☆54Updated 2 years ago
- Code and Data for "Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering"☆86Updated 11 months ago
- A extension of Transformers library to include T5ForSequenceClassification class.☆38Updated 2 years ago
- [AAAI 2024] Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following☆79Updated 10 months ago
- FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions☆45Updated last year
- Constrained decoding utilities for text generation using Huggingface seq2seq models☆25Updated 2 years ago
- 🦮 Code and pretrained models for Findings of ACL 2022 paper "LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrie…☆49Updated 3 years ago