Search Results for author: Christos Xypolopoulos

Found 11 papers, 4 papers with code

Graph Linearization Methods for Reasoning on Graphs with Large Language Models

no code implementations25 Oct 2024 Christos Xypolopoulos, Guokan Shang, Xiao Fei, Giannis Nikolentzos, Hadi Abdine, Iakovos Evdaimon, Michail Chatzianastasis, Giorgos Stamou, Michalis Vazirgiannis

Large language models have evolved to process multiple modalities beyond text, such as images and audio, which motivates us to explore how to effectively leverage them for graph reasoning tasks.

Bias in the Mirror: Are LLMs opinions robust to their own adversarial attacks ?

no code implementations17 Oct 2024 Virgile Rennard, Christos Xypolopoulos, Michalis Vazirgiannis

Large language models (LLMs) inherit biases from their training data and alignment processes, influencing their responses in subtle ways.

Misinformation

Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models

2 code implementations3 Mar 2024 Iakovos Evdaimon, Giannis Nikolentzos, Christos Xypolopoulos, Ahmed Kammoun, Michail Chatzianastasis, Hadi Abdine, Michalis Vazirgiannis

Graph generation has emerged as a crucial task in machine learning, with significant challenges in generating graphs that accurately reflect specific properties.

Graph Generation

GreekBART: The First Pretrained Greek Sequence-to-Sequence Model

2 code implementations3 Apr 2023 Iakovos Evdaimon, Hadi Abdine, Christos Xypolopoulos, Stamatis Outsios, Michalis Vazirgiannis, Giorgos Stamou

In addition, we examine its performance on two NLG tasks from GreekSUM, a newly introduced summarization dataset for the Greek language.

Natural Language Inference Text Generation +2

NLP Research and Resources at DaSciM, Ecole Polytechnique

no code implementations1 Dec 2021 Hadi Abdine, Yanzhu Guo, Moussa Kamal Eddine, Giannis Nikolentzos, Stamatis Outsios, Guokan Shang, Christos Xypolopoulos, Michalis Vazirgiannis

DaSciM (Data Science and Mining) part of LIX at Ecole Polytechnique, established in 2013 and since then producing research results in the area of large scale data analysis via methods of machine and deep learning.

Evaluation Of Word Embeddings From Large-Scale French Web Content

1 code implementation5 May 2021 Hadi Abdine, Christos Xypolopoulos, Moussa Kamal Eddine, Michalis Vazirgiannis

Adding that pretrained word vectors on huge text corpus achieved high performance in many different NLP tasks.

Word Embeddings

How COVID-19 Is Changing Our Language : Detecting Semantic Shift in Twitter Word Embeddings

no code implementations15 Feb 2021 Yanzhu Guo, Christos Xypolopoulos, Michalis Vazirgiannis

We employ an alignment-based approach to compare these embeddings with a general-purpose Twitter embedding unrelated to COVID-19.

valid Word Embeddings

Unsupervised Word Polysemy Quantification with Multiresolution Grids of Contextual Embeddings

1 code implementation EACL 2021 Christos Xypolopoulos, Antoine J. -P. Tixier, Michalis Vazirgiannis

A valuable by-product of our method is the ability to sample, at no extra cost, sentences containing different senses of a given word.

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