Get started
Author

Daimeng Wei

Observed name: Wei, Daimeng
Observed institution: Huawei Technologies (China)
OpenAlex ID: A5125751615
M-SQE: Multilingual Skill Quality Estimation for Enhancing Language Equality in Agentic Skill Use
2026 · Liu, Yilun, Tao, Shimin, et al. · arXiv (Cornell University)
PDF
EviSI: An Evidence-Based Evaluation Agent for Simultaneous Interpreting
2026 · Yan, Ben, Li, Zongyao, et al. · arXiv (Cornell University)
PDF
MADE: Beyond Scoring via a Multilingual Agentic Diagnosing Engine for Fine-Grained Evaluation Insights
2026 · Liu, Yilun, Zhang, Miao, et al. · arXiv (Cornell University)
PDF
The GaoYao Benchmark: A Comprehensive Framework for Evaluating Multilingual and Multicultural Abilities of Large Language Models
2026 · Liu, Yilun, Zhao, Chunguang, et al. · arXiv (Cornell University)
PDF
ELSPR: Evaluator LLM Training Data Self-Purification on Non-Transitive Preferences via Tournament Graph Reconstruction
2026 · Association for Artificial Intelligence 2026, ., Mahongxia, et al. · Underline Science Inc.
MIDB: Multilingual Instruction Data Booster for Enhancing Cultural Equality in Multilingual Instruction Synthesis
2026 · Association for Artificial Intelligence 2026, ., Mahongxia, et al. · Underline Science Inc.
304 - PLaST: Towards Paralinguistic-aware Speech Translation
2026 · Association for Artificial Intelligence 2026, Chen, Yidong, et al. · Underline Science Inc.
PLaST: Towards Paralinguistic-aware Speech Translation
2026 · Association for Artificial Intelligence 2026, Chen, Yidong, et al. · Underline Science Inc.
Loong: A Human-Like Long Document Translation Agent with Observe-and-Act Adaptive Context Selection
2026 · Yutong Wang, Xuebo Liu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
Unlocking Fine-Grained Translation Quality Estimation in LRMs through Mutually Boosting Implicit and Explicit Reasoning
2026 · Renfei Dang, Xinye Wang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
Works count: 10
Citation count:
H-index:
I10-index:
Year
Topic
Type