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Resendiz, Yarik Menchaca

  1. Which Demographics do LLMs Default to During Annotation?
    2024/10/11 by Johannes Schäfer, Schäfer, Johannes, Aidan Combs +21 · 5 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques
  2. Emotion-Conditioned Text Generation through Automatic Prompt Optimization
    2023/08/09 by Yarik Menchaca Resendiz, Resendiz, Yarik Menchaca, Roman Klinger +1 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Sentiment Analysis and Opinion Mining #Topic Modeling
  3. What Makes Medical Claims (Un)Verifiable? Analyzing Entity and Relation Properties for Fact Verification
    2024/02/02 by Wührl, Amelie, Resendiz, Yarik Menchaca, Grimminger, Lara +1 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  4. MOPO: Multi-Objective Prompt Optimization for Affective Text Generation
    2024/12/17 by Yarik Menchaca Resendiz, Roman Klinger, Resendiz, Yarik Menchaca +1 · 1 citation
    Computer Science · #Artificial Intelligence in Games #Computation and Language (cs.CL) #FOS: Computer and information sciences #Sentiment Analysis and Opinion Mining #Topic Modeling