Who cites Jiasheng Ye
- MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training StrategiesarXiv:2404.06395Shengding Hu, Yuge Tu, Xu Han, et al.2024 · 269 citations
- Qwen2.5-Omni Technical ReportarXiv:2503.20215Jin Xu, Zhifang Guo, Jinzheng He, et al.2025 · 227 citations
- Olmo 3arXiv:2512.13961Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 130 citations
- Mini-Gemini: Mining the Potential of Multi-modality Vision Language ModelsIEEE Transactions on Pattern Analysis and Machine IntelligenceYanwei Li, Yuechen Zhang, Chengyao Wang, et al.2024 · 123 citations
- A Survey on Data Selection for Language ModelsarXiv:2402.16827Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 95 citations
- LLaMA-Omni: Seamless Speech Interaction with Large Language ModelsarXiv:2409.06666Qingkai Fang, Shoutao Guo, Yan Zhou, et al.2024 · 91 citations
- MANTIS: Interleaved Multi-Image Instruction TuningTransactions on Machine Learning ResearchDongfu Jiang, Xuan He, Huaye Zeng, et al.2024 · 74 citations
- Recent Advances in Speech Language Models: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqian Cui, Dianzhi Yu, Xiaoqi Jiao, et al.2025 · 69 citations
- RegMix: Data Mixture as Regression for Language Model Pre-trainingarXiv:2407.01492Qian Liu, Xiaosen Zheng, Niklas Muennighoff, et al.2024 · 57 citations
- WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Zhepei Wei, Wenlin Yao, Yao Liu, et al.2025 · 36 citations
- Baichuan-Omni-1.5 Technical ReportarXiv:2501.15368Yadong Li, Jun Liu, Tao Zhang, et al.2025 · 28 citations
- DDK: Distilling Domain Knowledge for Efficient Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Jiaheng Liu, Chenchen Zhang, Jinyang Guo, et al.2024 · 23 citations
- Baichuan-Omni Technical ReportarXiv:2410.08565Yadong Li, Haoze Sun, Mingan Lin, et al.2024 · 18 citations
- OmniBench: Towards The Future of Universal Omni-Language ModelsConference on Neural Information Processing Systems (NeurIPS)Yizhi Li, Yinghao Ma, Ge Zhang, et al.2024 · 17 citations
- Paralinguistics-Aware Speech-Empowered Large Language Models for Natural ConversationConference on Neural Information Processing Systems (NeurIPS)Heeseung Kim, Soonshin Seo, Kyeongseok Jeong, et al.2024 · 13 citations
- MiniPLM: Knowledge Distillation for Pre-Training Language ModelsarXiv:2410.17215Yuxian Gu, Hao Zhou, Fandong Meng, et al.2024 · 12 citations
- Scaling Laws for Code: A More Data-Hungry RegimeAnnual Meeting of the Association for Computational Linguistics (ACL)Xianzhen Luo, Wenzhen Zheng, Qingfu Zhu, et al.2026 · 3 citations
- SpeechLLM-as-Judges: Towards General and Interpretable Speech Quality EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Hui Wang, Jinghua Zhao, Yifan Yang, et al.2026 · 3 citations
- Efficient Training for Cross-lingual Speech Language ModelsFindings of the Association for Computational LinguisticsYan Zhou, Qingkai Fang, Yun Hong, et al.2026 · 2 citations
- Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Kailai Yang, Xiao Liu, Lei Ji, et al.2026 · 1 citation
- DaMo: Data Mixing Optimizer in Fine-tuning Multimodal LLMs for Mobile Phone AgentsFindings of the Association for Computational LinguisticsKai Shi, Jun Yang, Ni Yang, et al.2026
- Data Foundations of Long-Context Language Models: A SurveyTransactions of the Association for Computational Linguistics (TACL)Zechen Sun, Yuyang Sun, Zhaochen Su, et al.2026
- MENTOR: Efficient Autoregressive Image Generation with Balanced Multimodal ControlFindings of the Association for Computational LinguisticsHaozhe Zhao, Zefan Cai, Shuzheng Si, et al.2026
- Rethinking Data Mixing from the Perspective of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanjian Xu, Tianze Sun, Changwei Xu, et al.2026
- Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New PerspectivesFindings of the Association for Computational LinguisticsYajiao Liu, Congliang Chen, Junchi Yang, et al.2026
- Test-Time Scaling in Multimodal Foundation Models: A Comprehensive Survey of Generation and ReasoningFindings of the Association for Computational LinguisticsCong Wan, Ying He, Zhongzhan Huang, et al.2026
- TiKMiX: Efficient Semi-Dynamic Data Mixture via Data Influence for LLM Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Yifan Wang, Binbinliu, Fengze Liu, et al.2026
- TReX: Tokenizer Regression for Optimal Data MixtureConference of the European Chapter of the Association for Computational Linguistics (EACL)Inho Won, Hangyeol Yoo, Minkyung Cho, et al.2026
- WebUncertainty: Dual-Level Uncertainty Driven Planning and Reasoning For Autonomous Web AgentFindings of the Association for Computational LinguisticsLingfeng Zhang, Yongan Sun, Jinpeng Hu, et al.2026
- 360Zhinao Technical ReportarXiv:2405.133862024
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