ServiceNow / data-augmentation-with-llms
Data Augmentation for Intent Classification with Off-the-Shelf Large Language Models is a ServiceNow Research project
☆28Updated last year
Related projects ⓘ
Alternatives and complementary repositories for data-augmentation-with-llms
- This is the code for the Submission 3358 at NeurIPS 2022.☆21Updated last year
- Efficient Memory-Augmented Transformers☆34Updated last year
- ☆33Updated 5 months ago
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆39Updated last year
- Code for the arXiv paper: "LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond"☆59Updated 7 months ago
- Technical Report: Is ChatGPT a Good NLG Evaluator? A Preliminary Study☆42Updated last year
- TBC☆26Updated 2 years ago
- ☆27Updated 10 months ago
- ☆33Updated last year
- Code and dataset for the emnlp paper titled Instruct and Extract: Instruction Tuning for On-Demand Information Extraction☆50Updated 10 months ago
- Code for the ACL2022 paper "Synthetic Question Value Estimation for Domain Adaptation of Question Answering"☆16Updated 2 years ago
- Source code for ACL 2022 Paper "Prompt-based Data Augmentation for Low-Resource NLU Tasks"☆68Updated last year
- Code for RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. ACL 2023.☆62Updated this week
- Detect hallucinated tokens for conditional sequence generation.☆63Updated 2 years ago
- [EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”.☆16Updated 2 years ago
- This repository contains the code for "How many data points is a prompt worth?"☆49Updated 3 years ago
- Code and data for the FACTOR paper☆39Updated last year
- ☆37Updated 4 months ago
- Official repository for EMNLP'22 paper: Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering☆24Updated 2 years ago
- [EMNLP 2022] Code and data for "Controllable Dialogue Simulation with In-Context Learning"☆34Updated last year
- ☆26Updated 2 years ago
- Merging Generated and Retrieved Knowledge for Open-Domain QA (EMNLP 2023)☆22Updated last year
- NoMIRACL: A multilingual hallucination evaluation dataset to evaluate LLM robustness in RAG against first-stage retrieval errors on 18 la…☆18Updated this week
- ☆42Updated 10 months ago
- ☆80Updated last year
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆62Updated 3 months ago
- PyTorch code for "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization" (NAACL 2022)☆38Updated 2 years ago
- [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding☆62Updated 2 years ago
- [ACL 2023] The code for our ACL'23 paper Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Pr…☆22Updated 5 months ago
- Code and pre-trained models for "ReasonBert: Pre-trained to Reason with Distant Supervision", EMNLP'2021☆29Updated last year