Publications

Yonggan Fu, Lexington Whalen, Abhinav Garg, Chengyue Wu, Maksim Khadkevich, Nicolai Oswald, Enze Xie, Daniel Egert, Sharath Turuvekere Sreenivas, Shizhe Diao, Chenhan Yu, Ye Yu, Weijia Chen, Sajad Norouzi, Jingyu Liu, Shiyi Lan, Ligeng Zhu, Jin Wang, Jindong Jiang, Morteza Mardani, Mehran Maghoumi, Song Han, Ante Jukić, Nima Tajbakhsh, Jan Kautz, Pavlo Molchanov (2026). Nemotron-Labs-Diffusion: A Tri-Mode Language Model Unifying Autoregressive, Diffusion, and Self-Speculation Decoding. Nvidia Research.

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Zongze Li, Jingyu Liu, Zach Xu, Yineng Zhang, Tahseen Rabbani, Ce Zhang (2026). Not All Prefills Are Equal: PPD Disaggregation for Multi-turn LLM Serving. ICML 2026.

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Subham Sekhar Sahoo, Jean-Marie Lemercier, Zhihan Yang, Justin Deschenaux, Jingyu Liu, John Thickstun, Ante Jukić (2026). Scaling Beyond Masked Diffusion Language Models. ICML 2026.

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Yonggan Fu, Lexington Whalen, Zhifan Ye, Xin Dong, Shizhe Diao, Jingyu Liu, Chengyue Wu, Hao Zhang, Enze Xie, Maksim Khadkevich, Jan Kautz, Yingyan Celine Lin, Pavlo (2025). Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed. ICML 2026.

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Jingyu Liu, Xin Dong, Zhifan Ye, Rishabh Mehta, Yonggan Fu, Vartika Singh, Jan Kautz, Ce Zhang, Pavlo Molchanov (2025). TiDAR: Think in Diffusion, Talk in Autoregression. MLSys 2026 (Oral).

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Jingyu Liu, Ce Zhang (2025). HAMburger: Accelerating LLM Inference via Token Smashing. Preprint.

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Jingyu Liu, Beidi Chen, Ce Zhang (2025). Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation. ICML 2025.

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Tao Feng, Chuanyang Jin, Jingyu Liu, Kunlun Zhu, Haoqin Tu, Zirui Cheng, Guanyu Lin, Jiaxuan You (2024). How Far Are We From AGI?. TMLR 2024.

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Rao Fu, Jingyu Liu, Xilun Chen, Yixin Nie, Wenhan Xiong (2024). Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning. WACV 2025.

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Wenhan Xiong, Jingyu Liu, Igor Molybog, Hejia Zhang, Prajjwal Bhargava, Rui Hou, Louis Martin, Rashi Rungta, Karthik Abinav Sankararaman, Barlas Oğuz, Madian Khabsa, Han Fang, Yashar Mehdad, Sharan Narang, Kshitiz Malik, Angela Fan, Shruti Bhosale, Sergey Edunov, Mike Lewis, Sinong Wang, Hao Ma (2023). Effective Long-Context Scaling of Foundation Models. NAACL 2024 Main Conference.

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Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Ellen Tan, Yossi Adi, Jingyu Liu, Tal Remez, Jérémy Rapin, Artyom Kozhevnikov, Ivan Evtimov, Joanna Bitton, Manish Bhatt, Cristian Canton Ferrer, Aaron Grattafiori, Wenhan Xiong, Alexandre Défossez, Jade Copet, Faisal Azhar, Hugo Touvron, Louis Martin, Nicolas Usunier, Thomas Scialom, Gabriel Synnaeve (2023). Code Llama: Open Foundation Models for Code. Meta AI.

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Tsu-Jui Fu, Wenhan Xiong, Yixin Nie, Jingyu Liu, Barlas Oğuz, William Yang Wang (2023). Text-guided 3D Human Generation from 2D Collections. EMNLP Findings 2023.

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Jingyu Liu, Wenhan Xiong, Ian Jones, Yixin Nie, Anchit Gupta, Barlas Oğuz (2023). CLIP-Layout: Style-Consistent Indoor Scene Synthesis with Semantic Furniture Embedding.

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