Meng, Yu

23 publications

ICML 2025 AdaDecode: Accelerating LLM Decoding with Adaptive Layer Parallelism Zhepei Wei, Wei-Lin Chen, Xinyu Zhu, Yu Meng

ICLR 2025 InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales Zhepei Wei, Wei-Lin Chen, Yu Meng

ICML 2025 LLM Alignment as Retriever Optimization: An Information Retrieval Perspective Bowen Jin, Jinsung Yoon, Zhen Qin, Ziqi Wang, Wei Xiong, Yu Meng, Jiawei Han, Sercan O Arik

NeurIPS 2025 RAST: Reasoning Activation in LLMs via Small-Model Transfer Siru Ouyang, Xinyu Zhu, Zilin Xiao, Minhao Jiang, Yu Meng, Jiawei Han

NeurIPS 2025 The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning Xinyu Zhu, Mengzhou Xia, Zhepei Wei, Wei-Lin Chen, Danqi Chen, Yu Meng

ICLR 2024 Evaluating Large Language Models at Evaluating Instruction Following Zhiyuan Zeng, Jiatong Yu, Tianyu Gao, Yu Meng, Tanya Goyal, Danqi Chen

NeurIPSW 2024 Fast and Accurate Language Model Decoding via Parallel Token Processing Zhepei Wei, Wei-Lin Chen, Xinyu Zhu, Yu Meng

NeurIPSW 2024 InstructRAG: Instructing Retrieval Augmented Generation via Self-Synthesized Rationales Zhepei Wei, Wei-Lin Chen, Yu Meng

NeurIPS 2024 Pedestrian-Centric 3D Pre-Collision Pose and Shape Estimation from Dashcam Perspective Meijun Wang, Yu Meng, Zhongwei Qiu, Chao Zheng, Yan Xu, Xiaorui Peng, Jian Gao

ICLR 2024 Representation Deficiency in Masked Language Modeling Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer

NeurIPS 2024 SimPO: Simple Preference Optimization with a Reference-Free Reward Yu Meng, Mengzhou Xia, Danqi Chen

NeurIPS 2024 Unchosen Experts Can Contribute Too: Unleashing MoE Models’ Power by Self-Contrast Chufan Shi, Cheng Yang, Xinyu Zhu, Jiahao Wang, Taiqiang Wu, Siheng Li, Deng Cai, Yujiu Yang, Yu Meng

CVPR 2024 iToF-Flow-Based High Frame Rate Depth Imaging Yu Meng, Zhou Xue, Xu Chang, Xuemei Hu, Tao Yue

ICLR 2023 Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks Bowen Jin, Yu Zhang, Yu Meng, Jiawei Han

NeurIPSW 2023 Evaluating Large Language Models at Evaluating Instruction Following Zhiyuan Zeng, Jiatong Yu, Tianyu Gao, Yu Meng, Tanya Goyal, Danqi Chen

NeurIPS 2023 Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander J Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang

NeurIPSW 2023 Learning Multiplex Embeddings on Text-Rich Networks with One Text Encoder Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Han Zhao, Jiawei Han

ICML 2023 Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning Yu Meng, Martin Michalski, Jiaxin Huang, Yu Zhang, Tarek Abdelzaher, Jiawei Han

NeurIPS 2022 Generating Training Data with Language Models: Towards Zero-Shot Language Understanding Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han

ICLR 2022 Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul N. Bennett, Jiawei Han, Xia Song

NeurIPS 2021 COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song

NeurIPS 2019 Spherical Text Embedding Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance Kaplan, Jiawei Han

AAAI 2019 Weakly-Supervised Hierarchical Text Classification Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han