🔗 Who cites «Multiple LLM Agents Debate for Equitable Cultural Alignment»

9 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «Multiple LLM Agents Debate for Equitable Cultural Alignment»

1. Debate to Align: Reliable Entity Alignment through Two-Stage Multi-Agent DebateFindings of the Association for Computational LinguisticsCunda Wang, Ziying Ma, Po Hu, et al.2026 · 2 citations
2. Foresight Optimization for Strategic Reasoning in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jessie Wang, Jiawen Duan, Jian Wang, et al.2026 · 2 citations
3. K-NLPers at SemEval-2026 Task 7: Multiple LLM Agent Debate System for Everyday Knowledge Across Diverse Languages and CulturesInternational Workshop on Semantic Evaluation (SemEval)Jiwoo Song, Sihyeong Yeom, Harksoo Kim2026 · 1 citation
4. ExpertIVS: Sociological Expert Driven Individual Value Simulation in Large Language ModelsFindings of the Association for Computational LinguisticsZhen Wang, Yuqi Ren, Yuehan Cui, et al.2026
5. InsideOut: Measuring and Mitigating Insider–Outsider Bias in Interview Script GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Wan, Xingrun Chen, Kai-Wei Chang2026
6. Mitigating Cultural Bias in LLMs via Multi-Agent Cultural DebateFindings of the Association for Computational LinguisticsQian Tan, Lei Jiang, Yuting Zeng, et al.2026

3 more papers of our library cite it; they have no page here yet.

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