lyuchenyang
PhD student at ML-Labs, Dublin City University, Ireland. Currently interested in Machine Learning and Natural Language Processing especially LLMs.
Dublin City UniversityDublin, Ireland
Pinned Repositories
Analysing-Question-Answering-Data
Code for the paper in ACL 2022 Workshop on Insights from Negative Results in NLP titled "Extending the Scope of Out-of-Domain: Examining QA models in multiple subdomains ".
Dialogue-to-Video-Retrieval
Code for ECIR 2023 paper "Dialogue-to-Video Retrieval"
Document-level-Sentiment-Analysis-with-User-and-Product-Context
Code for COLING 2020 paper "Improving Document-level Sentiment Analysis with User and Product Context"
Efficient-VideoQA
Code for ACL SustaiNLP 2023 paper "Is a Video worth n × n Images? A Highly Efficient Approach to Transformer-based Video Question Answering"
Improving-Unsupervised-Question-Answering-via-Summarization-Informed-Question-Generation
A basic implementation for paper "Improving Unsupervised Question Answering via Summarization-Informed Question Generation"
Investigating-the-Transferability-of-Sentiment-Analysis-Data-for-Evaluating-Rationales-of-Investors
Code for "DCU-ML at the FinNLP-2022 ERAI Task: Investigating the Transferability of Sentiment Analysis Data for Evaluating Rationales of Investors"
Macaw-LLM
Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration
Personalized-Sentiment-Analysis
Code for Findings of ACL 2023 paper "Exploiting Rich Textual User-Product Context for Improving Personalized Sentiment Analysis"
Probing-Analysing-Understanding-QA-Dataset-Papers
Semantic-aware-VideoQA
Code for ACL SRW 2023 paepr "Semantic-aware Dynamic Retrospective-Prospective Reasoning for Event-level Video Question Answering"
lyuchenyang's Repositories
lyuchenyang/Macaw-LLM
Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration
lyuchenyang/Document-level-Sentiment-Analysis-with-User-and-Product-Context
Code for COLING 2020 paper "Improving Document-level Sentiment Analysis with User and Product Context"
lyuchenyang/Dialogue-to-Video-Retrieval
Code for ECIR 2023 paper "Dialogue-to-Video Retrieval"
lyuchenyang/Personalized-Sentiment-Analysis
Code for Findings of ACL 2023 paper "Exploiting Rich Textual User-Product Context for Improving Personalized Sentiment Analysis"
lyuchenyang/Semantic-aware-VideoQA
Code for ACL SRW 2023 paepr "Semantic-aware Dynamic Retrospective-Prospective Reasoning for Event-level Video Question Answering"
lyuchenyang/Analysing-Question-Answering-Data
Code for the paper in ACL 2022 Workshop on Insights from Negative Results in NLP titled "Extending the Scope of Out-of-Domain: Examining QA models in multiple subdomains ".
lyuchenyang/Efficient-VideoQA
Code for ACL SustaiNLP 2023 paper "Is a Video worth n × n Images? A Highly Efficient Approach to Transformer-based Video Question Answering"
lyuchenyang/Improving-Unsupervised-Question-Answering-via-Summarization-Informed-Question-Generation
A basic implementation for paper "Improving Unsupervised Question Answering via Summarization-Informed Question Generation"
lyuchenyang/Investigating-the-Transferability-of-Sentiment-Analysis-Data-for-Evaluating-Rationales-of-Investors
Code for "DCU-ML at the FinNLP-2022 ERAI Task: Investigating the Transferability of Sentiment Analysis Data for Evaluating Rationales of Investors"
lyuchenyang/Probing-Analysing-Understanding-QA-Dataset-Papers
lyuchenyang/Unsupervised-Weakly-Supervised-QA-Papers
Paper list for unsupervised QA
lyuchenyang/GNNPapers
Must-read papers on graph neural networks (GNN)
lyuchenyang/lyuchenyang.github.io
lyuchenyang/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
lyuchenyang/Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
lyuchenyang/UnsupervisedQA
Unsupervised Question answering via Cloze Translation