The official implementation of the paper HICL: Hashtag-Driven In-Context Learning for Social Media Natural Language Understanding
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Updated
Aug 22, 2023 - Python
The official implementation of the paper HICL: Hashtag-Driven In-Context Learning for Social Media Natural Language Understanding
A repository to demonstrate some of the concepts behind large language models, transformer (foundation) models, in-context learning, and prompt engineering using open source large language models like Bloom and co:here.
Experimentation on PRODIGY framework
Code base of In-Context Learning for Dialogue State tracking
Fine-Tuning Text Pre-Trained Transformers to In-Context Learn Simple Function Classes.
This repository contains codes for NLP project "In-context Learning of Pre-trained Language Models for Controlled Dialogue Summarization: A Holistic Benchmark and Empirical Analysis"
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
Factuality check of the SemRep Predications
[EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.
Code implementation for the EMNLP 2023 paper "SEER A Knapsack approach to Exemplar Selection for In-Context HybridQA"
RAG chatbot built on top of trending M&A news.
Implementation of our paper "Speak Like a Native: Prompting Large Language Models in a Native Style"
Easy in-context learning experiemnts with variety of datasets, LLMs, and example selectors.
Python Code Completion bot
Pack of LLMs: Model Fusion at Test-Time via Perplexity Optimization
Original PyTorch implementation for ICCV 2023 Paper "SINC: Self-Supervised In-Context Learning for Vision-Language Tasks."
Official Implementation for "In-Context Reinforcement Learning for Variable Action Spaces"
Generative AI-based Software for Material Property and Database Generation
Code for NAACL 2024 "MDR: Model-Specific Demonstration Retrieval at Inference Time for In-Context Learning".
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