Arkadiusz Janz

Word Embeddings for Polish

2017

Distributional language models for Polish trained on different corpora (KGR10, NKJP, Wikipedia).

Word Sense Disambiguation Based on Constrained RandomWalks in Linked Semantic Networks

2019

Word Sense Disambiguation remains a challenging NLP task. Due to the lack of annotated training data, especially for rare senses, the supervised approaches are usually designed for specific subdomains limited to a narrow subset of …

ChatGPT: Jack of all trades, master of none

2023 · arXiv (Cornell University)

OpenAI has released the Chat Generative Pre-trained Transformer (ChatGPT) and revolutionized the approach in artificial intelligence to human-model interaction. Several publications on ChatGPT evaluation test its effectiveness on well-known natural language processing (NLP) tasks. However, …

Personalized Large Language Models

2024

Large language models (LLMs) have significantly advanced Natural Language Processing (NLP) tasks in recent years. However, their universal nature poses limitations in scenarios requiring personalized responses, such as recommendation systems and chatbots. This paper investigates …