1 citations · 1 across the 7 of their papers we have counts for
7 papers
PARL: Prompt-based Agents for Reinforcement Learning
Yarik Menchaca Resendiz, Roman Klinger
Large language models (LLMs) have demonstrated high performance on tasks expressed in natural language, particularly in zero- or few-shot settings. These are typically framed as su…
LLM-based Affective Text Generation Quality Based on Different Quantization Values
Yarik Menchaca Resendiz, Roman Klinger
Large language models exhibit a remarkable capacity in language generation and comprehension. These advances enable AI systems to produce more human-like and emotionally engaging t…
MOPO: Multi-Objective Prompt Optimization for Affective Text Generation
Yarik Menchaca Resendiz, Roman Klinger
How emotions are expressed depends on the context and domain. On X (formerly Twitter), for instance, an author might simply use the hashtag #anger, while in a news headline, emotio…
Which Demographics do LLMs Default to During Annotation?
Johannes Schäfer, Aidan Combs, Christopher Bagdon +9
Demographics and cultural background of annotators influence the labels they assign in text annotation -- for instance, an elderly woman might find it offensive to read a message a…
What Makes Medical Claims (Un)Verifiable? Analyzing Entity and Relation Properties for Fact Verification
Amelie Wührl, Yarik Menchaca Resendiz, Lara Grimminger +1
Biomedical claim verification fails if no evidence can be discovered. In these cases, the fact-checking verdict remains unknown and the claim is unverifiable. To improve upon this,…
Emotion-Conditioned Text Generation through Automatic Prompt Optimization
Yarik Menchaca Resendiz, Roman Klinger
Conditional natural language generation methods often require either expensive fine-tuning or training a large language model from scratch. Both are unlikely to lead to good result…
Affective Natural Language Generation of Event Descriptions through Fine-grained Appraisal Conditions
Yarik Menchaca Resendiz, Roman Klinger
Models for affective text generation have shown a remarkable progress, but they commonly rely only on basic emotion theories or valance/arousal values as conditions. This is approp…