collaborators

7 papers

cs.CL2026

Can LLMs Reason in a Legally Meaningful Manner? A Small-scale Study on European Court of Human Rights Cases

Amogh Raina, Ilias Chalkidis, Daniel Hershcovich +1

Reasoning has become a standard technique and feature for contemporary LLMs; however, its application and quality in the context of demanding legal-oriented tasks, such as legal ca…

cs.CV2026

Bridging Event Streams and DiT: Event-Guided Video Frame Interpolation

Guixu Lin, Yuyang Yu, Xiang Ji +6

Latent diffusion models have recently advanced video frame interpolation by synthesizing intermediate frames between input images. However, handling large temporal gaps and complex…

cs.CY2026

Hybrid AI for Explainable and Accurate Conversational Agents in eGovernment

Ilias Chalkidis, Vlad Paul Cosma, Søren Debois +6

We present a so-called Conversational Hybrid AI (CHAI) architecture for building explainable and accurate conversational agents for eGovernment. We exemplify the architecture with…

cs.CY2026

Brainrot: Deskilling and Addiction are Overlooked AI Risks

Ilias Chalkidis, Anders Søgaard

The scope of AI safety and alignment work in generative artificial intelligence (GenAI) has so far mostly been limited to harms related to: (a) discrimination and hate speech, (b)…

cs.CL2026

When Do Language Models Endorse Limitations on Human Rights Principles?

Keenan Samway, Nicole Miu Takagi, Rada Mihalcea +4

As Large Language Models (LLMs) increasingly mediate global information access with the potential to shape public discourse, their alignment with universal human rights principles…

cs.CL2025

Identifying Fine-grained Forms of Populism in Political Discourse: A Case Study on Donald Trump's Presidential Campaigns

Ilias Chalkidis, Stephanie Brandl, Paris Aslanidis

Large Language Models (LLMs) have demonstrated remarkable capabilities across a wide range of instruction-following tasks, yet their grasp of nuanced social science concepts remain…