Name: XU, Yan (Yana)
Type: User
Company: Hong Kong University of Science and Technology
Bio: Ph.D. Candidate in HKUST, NLP, Dialogue System, Reasoning, Knowledge
Twitter: Tea_XuYan
Location: Hong Kong
Blog: yana-xuyan.github.io
XU, Yan (Yana)'s Projects
A knowledge-grounded human-human dataset of open-domain conversations.
An audio chatting interface with React
A machine learning-based system that uses state-of-the-art natural language processing (NLP) question answering (QA) techniques combined with summarization for mining the available scientific literature
Kaggle system for covid 19
GivBERT, A novel visual entailment approach with global visual information
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
Hierarchical Attention for Dialogue Emotion Classification (SemEval 2019, NAACL)
Generalizing Question Answering System with Pre-trained Language Model Fine-tuning.
KE-Dialogue: Injecting knowledge graph into a fully end-to-end dialogue system.
The implementation of the paper "Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters".
:clipboard: Collection of evaluation code for natural language generation.
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
Model parallel transformers in JAX and Haiku
A collaborative project to collect datasets in Indonesian languages.
OpenNER: A toolkit for open-domain named entity recognition
a gaggle of deep neural architectures for text ranking and question answering, designed for Pyserini
Record audio from a user's microphone and display as a sound oscillation.
A collaborative project to collect datasets in SEA languages, SEA regions, or SEA cultures.
Python client to use SOCO answer-as-as-service platform.
Code for Sequential Posterior Inference in ICML 2023
Stopwords for 50 languages in JSON format
🦄 State-of-the-Art Conversational AI with Transfer Learning
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
Albert for Conversational Question Answering Challenge
Train transformer language models with reinforcement learning.
Multi Task Vision and Language