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20212026
most citedLEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain

48 citations · 85 across the 19 of their papers we have counts for

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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.CL2026

Templated or fully synthetic? Prompt construction as a confound in measuring LLM political stance beyond writing assistance

Ilias Chalkidis

Political stance detection in LLMs has long been dominated by closed-ended, multiple-choice political survey questions---originally designed for humans, and thus lacks the realism…

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…