mlsanityData to 14 Oct 2026

KODIS: A Multicultural Dispute Resolution Dialogue Corpus

arXiv 2504.12723 ↗First posted 17 Apr 2025cs.CLcited by 9

Not on the map. Why?

Abstract (arXiv)

We present KODIS, a dyadic dispute resolution corpus containing thousands of dialogues from over 75 countries. Motivated by a theoretical model of culture and conflict, participants engage in a typical customer service dispute designed by experts to evoke strong emotions and conflict. The corpus contains a rich set of dispositional, process, and outcome measures. The initial analysis supports theories of how anger expressions lead to escalatory spirals and highlights cultural differences in emotional expression. We make this corpus and data collection framework available to the community.

Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 10 of its 55 references that are in the map. First posted on arXiv 17 Apr 2025.

Builds on

10 of 55 references.

References · 10

  1. 2023GPT-4 Technical Reportcited by 18,396
  2. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  3. 2017Deal or No Deal? End-to-End Learning for Negotiation Dialoguescited by 209
  4. 2018Decoupling Strategy and Generation in Negotiation Dialoguescited by 162
  5. 2021CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systemscited by 62
  6. 2023Multilingual Language Models are not Multicultural: A Case Study in Emotioncited by 54
  7. 2023Be Selfish, But Wisely: Investigating the Impact of Agent Personality in Mixed-Motive Human-Agent Interactionscited by 15
  8. 2022Social Influence Dialogue Systems: A Survey of Datasets and Models For Social Influence Taskscited by 14
  9. 2022Opponent Modeling in Negotiation Dialogues by Related Data Adaptationcited by 13
  10. 2023Can Language Model Moderators Improve the Health of Online Discourse?cited by 12

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 4; 2026: 5.

9 papers.

  1. 2025Simulating Dispute Mediation with LLM-Based Agents for Legal Researchcited by 7
  2. 2025Evaluating Behavioral Alignment in Conflict Dialogue: A Multi-Dimensional Comparison of LLM Agents and Humanscited by 6
  3. 2025Can LLMs Generate Behaviors for Embodied Virtual Agents Based on Personality Traits?cited by 5
  4. 2026Personality Expression Across Contexts: Linguistic and Behavioral Variation in LLM Agentscited by 4
  5. 2025Emotionally-Aware Agents for Dispute Resolutioncited by 1
  6. 2026SoCRATES: Towards Reliable Automated Evaluation of Proactive LLM Mediation across Domains and Socio-cognitive Variationscited by 0
  7. 2026CC-Mediation: Evaluating Large Language Models for Cross-Cultural Conflict Mediationcited by 0
  8. 2026ProMediConv: Benchmarking Proactive Conversational Agents in Legal Dispute Mediationcited by 0
  9. 2026CultureMINE: Datasets and Methods for Improving the Cultural Capabilities of NLP Systemscited by 0