An Empathetic User-Centric Chatbot for Emotional Support
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Abstract (arXiv)
This paper explores the intersection of Otome Culture and artificial intelligence, particularly focusing on how Otome-oriented games fulfill the emotional needs of young women. These games, which are deeply rooted in a subcultural understanding of love, provide players with feelings of satisfaction, companionship, and protection through carefully crafted narrative structures and character development. With the proliferation of Large Language Models (LLMs), there is an opportunity to transcend traditional static game narratives and create dynamic, emotionally responsive interactions. We present a case study of Tears of Themis, where we have integrated LLM technology to enhance the interactive experience. Our approach involves augmenting existing game narratives with a Question and Answer (QA) system, enriched through data augmentation and emotional enhancement techniques, resulting in a chatbot that offers realistic and supportive companionship.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 13 of its 24 references that are in the map. First posted on arXiv 15 Nov 2023.
Builds on
13 of 24 references.
References · 13
- 2022Training language models to follow instructions with human feedbackcited by 15,712
- 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 12,865
- 2023Direct Preference Optimization: Your Language Model is Secretly a Reward Modelcited by 7,916
- 2022Constitutional AI: Harmlessness from AI Feedbackcited by 2,950
- 2022Self-Instruct: Aligning Language Models with Self-Generated Instructionscited by 2,674
- 2022Scaling Laws for Reward Model Overoptimizationcited by 1,056
- 2021A General Language Assistant as a Laboratory for Alignmentcited by 1,023
- 2022GLM-130B: An Open Bilingual Pre-trained Modelcited by 837
- 2023RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedbackcited by 615
- 2023Efficient and Effective Text Encoding for Chinese LLaMA and Alpacacited by 302
- 2023RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Modelscited by 173
- 2023WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipediacited by 67
1 more
- 2019One Epoch Is All You Needcited by 41
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Citing papers per year: 2024: 2; 2025: 1.
3 papers.