EMNLP

DMDTEval: An Evaluation and Analysis of LLMs on Disambiguation in Multi-domain Translation

DMDTEval: LLMs在多领域翻译中歧义辨析的评估与分析

Zhibo Man, Yuanmeng Chen, Yujie Zhang, Jinan Xu

AI总结 本文提出DMDTEval框架，通过构建多领域歧义词标注测试集、设计精准的歧义度量标准，评估不同提示策略对LLMs在多领域翻译中歧义辨析能力的影响，揭示提升LLMs歧义辨析性能的关键发现。

Comments Accepted by EMNLP2025-main

Journal ref DMDTEval: An Evaluation and Analysis of LLMs on Disambiguation in Multi-domain Translation (Man et al., EMNLP 2025)

Integrating Personality into Digital Humans: A Review of LLM-Driven Approaches for Virtual Reality

将人格融入数字人类：一种基于大语言模型的虚拟现实方法综述

Iago Alves Brito, Julia Soares Dollis, Fernanda Bufon Färber, Pedro Schindler Freire Brasil Ribeiro, Rafael Teixeira Sousa, Arlindo Rodrigues Galvão Filho

AI总结 本文综述了利用大语言模型驱动虚拟现实中的数字人类人格塑造方法，探讨了零样本、少样本和微调等技术，并指出计算需求、延迟及多模态交互评估框架缺乏等挑战。

Comments Revised and expanded version of the survey published in Findings of EMNLP 2025. Includes 14 pages and 2 figures

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2025, 9519--9532