INK-USC / CrossFitLinks
Code for paper "CrossFit : A Few-shot Learning Challenge for Cross-task Generalization in NLP" (https://arxiv.org/abs/2104.08835)
☆112Updated 3 years ago
Alternatives and similar repositories for CrossFit
Users that are interested in CrossFit are comparing it to the libraries listed below
Sorting:
- Code for Editing Factual Knowledge in Language Models☆141Updated 3 years ago
- This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”☆85Updated 3 years ago
- ☆58Updated 3 years ago
- ☆75Updated last year
- code associated with ACL 2021 DExperts paper☆117Updated 2 years ago
- DEMix Layers for Modular Language Modeling☆54Updated 4 years ago
- Automatic metrics for GEM tasks☆67Updated 2 years ago
- [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding☆69Updated 3 years ago
- TBC☆27Updated 2 years ago
- ☆36Updated last year
- ☆46Updated last year
- ☆50Updated 2 years ago
- Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"☆63Updated 2 years ago
- Official Code for the papers: "Controlled Text Generation as Continuous Optimization with Multiple Constraints" and "Gradient-based Const…☆63Updated last year
- Code base of In-Context Learning for Dialogue State tracking☆45Updated 2 years ago
- ☆177Updated last year
- ☆100Updated 3 years ago
- Language modeling via stochastic processes. Oral @ ICLR 2022.☆138Updated 2 years ago
- The official implemetation of "Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks" (NAACL 2022).☆45Updated 2 years ago
- Detect hallucinated tokens for conditional sequence generation.☆64Updated 3 years ago
- [EMNLP 2020] Collective HumAn OpinionS on Natural Language Inference Data☆40Updated 3 years ago
- ☆54Updated 2 years ago
- The LM Contamination Index is a manually created database of contamination evidences for LMs.☆80Updated last year
- An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi☆270Updated 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
- An original implementation of "Noisy Channel Language Model Prompting for Few-Shot Text Classification"☆131Updated 3 years ago
- ☆42Updated 4 years ago
- [NeurIPS'22 Spotlight] Data and code for our paper CoNT: Contrastive Neural Text Generation☆153Updated 2 years ago
- ☆51Updated 2 years ago
- ☆39Updated 2 years ago