Repo for "Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks" ACL 2023 Findings
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Updated
May 3, 2023 - Python
Repo for "Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks" ACL 2023 Findings
The source code used for paper "PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training", published in EMNLP 2023.
Official implementation of LoT paper: "Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic"
Multilingual Neural Machine Translation for Low Resource Languages - a Ph.D. Thesis.
Limit the use of end-to-end data for Speech Translation (by leveraging Automatic Speech Recognition and Machine Translation data instead) using zero-shot multilingual text translation techniques.
[NLPCC'23] ZeroGen: Zero-shot Multimodal Controllable Text Generation with Multiple Oracles PyTorch Implementation
This repository hosts the code for Jan Hadl's Master Thesis at TU Wien: GS-VQA, a zero-shot visual questions answering (VQA) pipeline that uses vision-language models (VLMs) for visual perception and answer-set programming (ASP) for symbolic reasoning.
Unofficial Pytorch implementation of MaskCLIP
[CVPR 2024] Visual Programming for Zero-shot Open-Vocabulary 3D Visual Grounding
Fine-grained zero-shot or zero-shot learning
In this project, I created a simple Python using the HuggingFace's Transformers library which us an application that is answering "What is the capital of a country?".
First Zero-Shot Topic Classification for Persian
Zero-shot and Translation Experiments on XQuAD, MLQA and TyDiQA
Code for the FitCLIP method
Source code for EMSE 2023 paper "Zero-Shot Code Representation Learning via Prompt Tuning"
This repository highlights the LLMs reasoning capabilities of ✨ Mistral / LLaMA-3 / Phi-3 / Gemma / Flan-T5 / GPT-4o ✨ in Targeted Sentiment Analysis in Russian / Translated to English mass-media 📊
Barba is a multilingual natural language inference model for textual entailment and zero-shot text classification, available as an end-to-end service through TensorFlow Serving.
[NeurIPS 2023 - ML for Audio Workshop (Oral)] Zero-shot audio captioning with audio-language model guidance and audio context keywords
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