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49 papers · 1 filter
Foundation Models for Generalizable Semantic and Goal-Oriented Communication
Boliang Liu, Wint Yi Poe, Riccardo Trivisonno +1
Semantic and goal-oriented communication is increasingly studied for 6G, but generalization beyond seen data remains a key weakness under tight rate budgets. Many existing systems…
Distributed Sparse Interventions in Language Models
Maximilian S. Ernst, Lorenz Linhardt, Aaron Peikert +1
Language models perform a wide range of tasks at varying levels of abstraction with the capacity to flexibly infer tasks from context, execute multiple tasks simultaneously, and se…
Computational Measurement of Political Positions: A Review of Text-Based Ideal Point Estimation Algorithms
Patrick Parschan, Charlott Jakob
This article presents the first systematic review of unsupervised and semi-supervised computational text-based ideal point estimation (CT-IPE) algorithms, methods designed to infer…
Mitigating Clever Hans Strategies in Image Classifiers through Generating Counterexamples
Sidney Bender, Ole Delzer, Jan Herrmann +3
Deep learning models remain vulnerable to spurious correlations, leading to so-called Clever Hans predictors that undermine robustness even in large-scale foundation and self-super…
Don't Be Greedy, Just Relax! Pruning LLMs via Frank-Wolfe
Christophe Roux, Max Zimmer, Alexandre d'Aspremont +1
Pruning is a common technique to reduce the compute and storage requirements of Neural Networks. While conventional approaches typically retrain the model to recover pruning-induce…
Dynamics-Informed Reservoir Computing with Visibility Graphs
Charlotte Geier, Rasha Shanaz, Merten Stender
Accurate prediction of complex and nonlinear time series remains a challenging problem across engineering and scientific disciplines. Reservoir computing (RC) offers a computationa…