Works of China Mobile from 2026
- SAFE-QAQ: End-to-End Slow-Thinking Audio-Text Fraud Detection via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Peidong Wang, Zhiming Ma, Xin Dai, et al.2026 · 3 citations
- AlphaQT-Bench: Diagnosing the Gap between Financial Code Generation and Quantitative Reasoning in LLMsFindings of the Association for Computational LinguisticsSichun Luo, Yi Huang, Shichang Meng, et al.2026
- ChildEval:WHEN LARGE LANGUAGE MODELS MEET CHILDREN'S PERSONALITIESFindings of the Association for Computational LinguisticsYanyan Luo, Xue Han, Chunxu Zhao, et al.2026
- ModularMoE: Fast LLM Customization with Parameter-Sharing Mixture-of-Experts for Low-Resource SettingsFindings of the Association for Computational LinguisticsJiaxing Liu, Qi Qi, Haifeng Sun, et al.2026
- PEGRL: Improving Machine Translation by Post-Editing Guided Reinforcement LearningFindings of the Association for Computational LinguisticsYunzhi Shen, Hao Zhou, Xin Huang, et al.2026
- Soft Orthogonal Low-Rank Adaptation for Knowledge Sharing in Large Language Model Continual LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yitong Wang, Xue Han, WenChun Gao, et al.2026
- iTAG: Inverse Design for Natural Text Generation with Accurate Causal Graph AnnotationsAnnual Meeting of the Association for Computational Linguistics (ACL)Wenshuo Wang, Boyu Cao, Nan Zhuang, et al.2026
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