Affective Natural Language Generation of Event Descriptions through Fine-grained Appraisal Conditions. - Yarik Menchaca Resendiz; Roman Klinger (INLG, 2023)

Emotion-Conditioned Text Generation through Automatic Prompt Optimization. - Yarik Menchaca Resendiz; Roman Klinger (CoRR, 2023)

What Makes Medical Claims (Un)Verifiable? Analyzing Entity and Relation Properties for Fact Verification. - Amelie Wührl; Yarik Menchaca Resendiz; Lara Grimminger; Roman Klinger (EACL (1), 2024)

Which Demographics do LLMs Default to During Annotation? - Johannes Schäfer; Aidan Combs; Christopher Bagdon; Jiahui Li; Nadine Probol; Lynn Greschner; Sean Papay; Yarik Menchaca Resendiz; Aswathy Velutharambath; Amelie Wührl; Sabine Weber; Roman Klinger (ACL (1), 2025)

MOPO: Multi-Objective Prompt Optimization for Affective Text Generation. - Yarik Menchaca Resendiz; Roman Klinger (COLING, 2025)

LLM-based Affective Text Generation Quality Based on Different Quantization Values. - Yarik Menchaca Resendiz; Roman Klinger (CoRR, 2025)

PARL: Prompt-based Agents for Reinforcement Learning. - Yarik Menchaca Resendiz; Roman Klinger (CoRR, 2025)