ES4MLL at SemEval-2026 Task 2: Set Attention Aggregation and Recurrent Temporal Modeling for Longitudinal Affect Prediction (2026 · 1 citation)
The paper presents the ES4MLL system for SemEval-2026 Task 2. The task asks systems to predict self-reported valence and arousal from users' essays and feeling words written over time. The authors address Subtask 1 (longitudinal affect assessment) and Subtask 2a (forecasting short-term affect change). Their model is…
MALTO at SVELA: A Specific-Attention-Head Approach for Membership Inference Attacks in LLMs Unlearning Evaluation (2026 · 1 citation)
The paper addresses how to check whether machine unlearning in LLMs actually worked. Given an input, the goal is to decide whether the model handled it as retained, forgotten, or never seen. The system was built for the SVELA shared task at EVALITA 2026 and is a white-box membership inference attack that extends…

Co-authors here

2 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 2 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated 31 October 2026