activity
20242026
most cited -- Semantic Signal Separation

1 citations · 1 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CL2026

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…

cs.AI2026

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…

cs.CL2026

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…

cs.CL2026

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…

cs.LG2026

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…

cs.AI2026

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…