1 citations · 1 across the 8 of their papers we have counts for
10 papers
Multilingual GSM-Symbolic: What determines capability transfer across languages?
Kenneth Enevoldsen, Riley Herchert, Sofie Mosegaard +22
We understand little about how capabilities acquired in one language carry over to another, or what governs this transfer: evaluations rely on incomparable, saturation-prone datase…
From Tone to Trajectory: Continuous Sentiment and the Shape of Monetary Policy Communication
Martin Feldkircher, Márton Kardos, Kristoffer Laigaard Nielbo
Central bank press conferences are not merely information releases --- they are structured narratives. We study whether the shape of sentiment within a statement, not just its aver…
Conformity Mitigations in Large Language Models Lie on a Single Resistance-Receptivity Frontier
Zafar Hussain, Kristoffer Nielbo
Recent advances in language models have enabled collaborative settings in which multiple models leverage one another's capabilities, iteratively improving, transforming, and extend…
The Coverage Illusion: From Pre-retrieval Routing Failure to Post-retrieval Cascades in a Production RAG System
Zafar Hussain, Kristoffer Nielbo
In modern RAG pipelines, query augmentation methods such as HyDE and query expansion are applied to every query, resulting in substantial LLM inference costs and increased end-to-e…
Naturalistic measure of social norms alignment
Yevhen Kostiuk, Kenneth Enevoldsen, Peter Bjerregaard Vahlstrup +2
Social norms reflect shared expectations on acceptable behavior. Measuring social norms alignment remains challenging, with existing approaches typically relying on artificial clos…
Closed-form predictive coding via hierarchical Gaussian filters
Aleksandrs Baskakovs, Sylvain Estebe, Kenneth Enevoldsen +3
Predictive coding (PC) offers a local and biologically grounded alternative to backpropagation in the training of artificial neural networks, yet to date, it remains slower, and pe…
Improving reasoning at inference time via uncertainty minimisation
Nicolas Legrand, Kenneth Enevoldsen, Márton Kardos +1
Large language models (LLMs) now exhibit strong multi-step reasoning abilities, but existing inference-time scaling methods remain computationally expensive, often relying on exten…
Dynaword: From One-shot to Continuously Developed Datasets
Kenneth Enevoldsen, Kristian Nørgaard Jensen, Jan Kostkan +14
Large-scale datasets are foundational for research and development in natural language processing. However, current approaches face three key challenges: (1) reliance on ambiguousl…
topicwizard -- a Modern, Model-agnostic Framework for Topic Model Visualization and Interpretation
Márton Kardos, Kenneth C. Enevoldsen, Kristoffer Laigaard Nielbo
Topic models are statistical tools that allow their users to gain qualitative and quantitative insights into the contents of textual corpora without the need for close reading. The…
-- Semantic Signal Separation
Márton Kardos, Jan Kostkan, Arnault-Quentin Vermillet +3
Topic models are useful tools for discovering latent semantic structures in large textual corpora. Recent efforts have been oriented at incorporating contextual representations in…