collaborators

5 papers

cs.CY2026

AI-Assisted Peer Review Across Research Communities: From Reviewer AI Policies to LLM Review Quality

Alexander M. Fichtl, Lukas Ellinger, Josefin Kelber +3

AI-assisted peer review is increasingly discussed and adopted as a tool to support the scientific publishing process, yet there is little systematic understanding of how publicatio…

cs.CL2026

Granuscore: A Reference-Free Measure of Granularity for Text Analysis and Question Answering

Lukas Ellinger, Alexander Fichtl, Miriam Anschütz +1

Natural language conveys information at varying levels of granularity, from fine-grained references to broad descriptions. While granularity is fundamental to human communication,…

cs.HC2026

seneca: A Personalized Conversational Planner

Simon Bohnen, Gabriel Garbers, Lukas Ellinger +1

Knowledge work demands sustained self-regulation, prioritization, and reflection-yet existing planning tools only partially support these needs. Digital to-do list applications fea…

cs.CL2025

It Depends: Resolving Referential Ambiguity in Minimal Contexts with Commonsense Knowledge

Lukas Ellinger, Georg Groh

Ambiguous words or underspecified references require interlocutors to resolve them, often by relying on shared context and commonsense knowledge. Therefore, we systematically inves…

cs.CL2025

Simplifications are Absolutists: How Simplified Language Reduces Word Sense Awareness in LLM-Generated Definitions

Lukas Ellinger, Miriam Anschütz, Georg Groh

Large Language Models (LLMs) can provide accurate word definitions and explanations for any context. However, the scope of the definition changes for different target groups, like…