Publications de Karl Aberer | EPFL Graph Search

SAGESSE: A System for Argument Generation, Extraction and Structuring of Social Exchanges

Karl Aberer, Rémi Philippe Lebret, Léo Jules Laugier

Online debates provide critical insights into public opinion and societal trends, yet the unstructured nature of these discussions presents significant challenges for analysis. In this paper, we present SAGESSE, a novel argumentation parsing pipeline tailo ...

ACM2025

Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience

Karl Aberer, Thanh Trung Huynh

Federated learning (FL) has recently emerged as a compelling machine learning paradigm, prioritizing the protection of privacy for training data. The increasing demand to address issues such as "the right to be forgotten" and combat data poisoning attacks ...

Springer Nature2024

Message from the General Chairs and PC Chairs CIC 2024

Karl Aberer

Institute for Excellence and Ethics2024

CRAB: Assessing the Strength of Causal Relationships Between Real-World Events

Karl Aberer, Antoine Bosselut, Angeliki Romanou, Debjit Paul, Léo Jules Laugier, Syrielle Mathilde Marie Montariol

Understanding narratives requires reasoning about the cause-and-effect relationships between events mentioned in the text. While existing foundation models yield impressive results in many NLP tasks requiring reasoning, it is unclear whether they understan ...

Association for Computational Linguistics2023

Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction

Karl Aberer, Thanh Trung Huynh

Advances in deep neural network (DNN) architectures have enabled new prediction techniques for stock market data. Unlike other multivariate time-series data, stock markets show two unique characteristics: (i) multi-order dynamics, as stock prices are a.ect ...

Assoc Computing Machinery2023

Breaking the Language Barrier: Improving Cross-Lingual Reasoning with Structured Self-Attention

Karl Aberer, Antoine Bosselut, Negar Foroutan Eghlidi, Mohammadreza Banaei

In this work, we study whether multilingual language models (MultiLMs) can transfer logical reasoning abilities to other languages when they are fine-tuned for reasoning in a different language. We evaluate the cross-lingual reasoning abilities of MultiLMs ...

Association for Computational Linguistics2023

Peer-Reviewing Processes and Incentives: Data Management Community Survey Results

Karl Aberer

Reviewing papers for conferences is an important and hard task that brings several challenges. The Data Management community has been increasingly struggling with high reviewer load, low-quality reviews and low reviewer engagement, unethical reviewing prac ...

Assoc Computing Machinery2023

Stop Pre-Training: Adapt Visual-Language Models to Unseen Languages

Karl Aberer, Rémi Philippe Lebret, Negar Foroutan Eghlidi

Vision-Language Pre-training (VLP) has advanced the performance of many visionlanguage tasks, such as image-text retrieval, visual entailment, and visual reasoning. The pre-training mostly utilizes lexical databases and image queries in English. Previous w ...

Assoc Computational Linguistics-Acl2023

Scalable maximal subgraph mining with backbone-preserving graph convolutions

Karl Aberer, Thanh Trung Huynh, Quoc Viet Hung Nguyen, Thành Tâm Nguyên

Maximal subgraph mining is increasingly important in various domains, including bioinformatics, genomics, and chemistry, as it helps identify common characteristics among a set of graphs and enables their classification into different categories. Existing ...

ELSEVIER SCIENCE INC2023

From scattered sources to comprehensive technology landscape : A recommendation-based retrieval approach

Karl Aberer, Chi Thang Duong

Mapping the technology landscape is crucial for market actors to take informed investment decisions. However, given the large amount of data on the Web and its subsequent information overload, manually retrieving information is a seemingly ineffective and ...

ELSEVIER2023