mlsanityData to 14 Oct 2026

Using Adaptive Empathetic Responses for Teaching English

arXiv 2404.13764 ↗First posted 21 Apr 2024cs.CLcited by 5

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Abstract (arXiv)

Existing English-teaching chatbots rarely incorporate empathy explicitly in their feedback, but empathetic feedback could help keep students engaged and reduce learner anxiety. Toward this end, we propose the task of negative emotion detection via audio, for recognizing empathetic feedback opportunities in language learning. We then build the first spoken English-teaching chatbot with adaptive, empathetic feedback. This feedback is synthesized through automatic prompt optimization of ChatGPT and is evaluated with English learners. We demonstrate the effectiveness of our system through a preliminary user study.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 8 of its 66 references that are in the map. First posted on arXiv 21 Apr 2024.

Builds on

8 of 66 references.

References · 8

  1. 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 13,028
  2. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 4,057
  3. 2022Constitutional AI: Harmlessness from AI Feedbackcited by 3,050
  4. 2022Scaling Instruction-Finetuned Language Modelscited by 3,024
  5. 2023ChatGPT Outperforms Crowd-Workers for Text-Annotation Taskscited by 870
  6. 2023DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelinescited by 832
  7. 2018The Design and Implementation of XiaoIce, an Empathetic Social Chatbotcited by 172
  8. 2023Curriculum-Driven Edubot: A Framework for Developing Language Learning Chatbots Through Synthesizing Conversational Datacited by 9

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 2; 2025: 1; 2026: 2.

5 papers.