会议简介
国际多语种智能信息处理会议（IMLIP）是多语种智能信息处理领域的国际顶级学术会议，是具有国际影响力的多语种智能信息处理领域产学研的高端会议，旨在为国内外学者提供学术交流与合作研究的平台，促进我国少数民族、“一带一路”沿线国家等语言学研究和自然语言处理的学术研究。
2026年第三届国际多语种智能信息处理会议（IMLIP 2026）由中国人工智能学会主办，中国人工智能学会多语种智能信息处理专委会、昆明理工大学共同承办，将于2026年7月24-26日在云南昆明召开，预计参会人数300-500人。
会议将邀请院士、国际知名语言学家与多语种处理技术专家等国内外知名专家共10余名作特邀报告，以期促进多语种语言学研究、智能信息处理学术界、大数据和人工智能等领域的产业界和广大爱好者之间的交流。
启幕在即，精彩可期！
报告题目
Rethinking Evaluation Paradigms:LLMs, LRMs, and Agentic Frameworks for Machine Translation and Beyond
Abstract:
Large Language Models (LLMs) are emerging as promising evaluators for complex linguistic tasks such as machine translation, especially as translation demands become more culturally and contextually nuanced. An analysis comparing foundation models with fine-tuned systems shows that foundation models possess strong multilingual reasoning abilities and can effectively assess translation quality across diverse languages. Building on these insights, the alignment between human and model-based judgments is examined, revealing a persistent gap in consistency and interpretability. To address this, the Large Reasoning Model (LRM) framework is explored as a means of extending reasoning depth and contextual understanding in evaluation. The study further investigates agentic frameworks grounded in MQM principles and generalizes the Model-as-a-Judge concept to the training of reinforcement learning systems. Overall, the findings demonstrate that reasoning-based evaluation frameworks offer a path toward more transparent, scalable, and human-aligned methods for assessing translation and other language tasks.
专家介绍
Derek F. Wong
黄辉
Full Professor at the University of Macau (UM), where he leads the Natural Language Processing and Chinese–Portuguese Machine Translation Laboratory (NLP2CT Lab). He serves on the boards and committees of CIPS, CCF, and AFNLP, and holds editorial roles with IEEE/ACM TASLP, ACM TALLIP, TACL, and the ACL Rolling Review. His research has earned multiple honors, including the Macao Science and Technology Awards (2012, 2022), the FST Research Excellence Award, and both the Outstanding Academic Staff Incentive (2022) and Teaching Excellence Award (2024) from UM. He has also contributed to major NLP conferences such as ACL, NeurIPS, ICML, IJCAI, AAAI, EMNLP, NAACL, COLING, AACL, and IJCNLP in various program leadership roles.
