Luo, Di

11 publications

NeurIPS 2025 L$^2$M: Mutual Information Scaling Law for Long-Context Language Modeling Zhuo Chen, Oriol Mayné i Comas, Zhuotao Jin, Di Luo, Marin Soljacic
AAAI 2024 Enhancing Job Recommendation Through LLM-Based Generative Adversarial Networks Yingpeng Du, Di Luo, Rui Yan, Xiaopei Wang, Hongzhi Liu, Hengshu Zhu, Yang Song, Jie Zhang
NeurIPS 2024 QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation Zhuo Chen, Rumen Dangovski, Charlotte Loh, Owen Dugan, Di Luo, Marin Soljačić
NeurIPS 2024 SciCode: A Research Coding Benchmark Curated by Scientists Minyang Tian, Luyu Gao, Shizhuo Dylan Zhang, Xinan Chen, Cunwei Fan, Xuefei Guo, Roland Haas, Pan Ji, Kittithat Krongchon, Yao Li, Shengyan Liu, Di Luo, Yutao Ma, Hao Tong, Kha Trinh, Chenyu Tian, Zihan Wang, Bohao Wu, Yanyu Xiong, Shengzhu Yin, Minhui Zhu, Kilian Lieret, Yanxin Lu, Genglin Liu, Yufeng Du, Tianhua Tao, Ofir Press, Jamie Callan, Eliu Huerta, Hao Peng
ICML 2024 TENG: Time-Evolving Natural Gradient for Solving PDEs with Deep Neural Nets Toward Machine Precision Zhuo Chen, Jacob Mccarran, Esteban Vizcaino, Marin Soljacic, Di Luo
NeurIPS 2023 ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation Zhuo Chen, Laker Newhouse, Eddie Chen, Di Luo, Marin Soljacic
NeurIPS 2023 Lift Yourself up: Retrieval-Augmented Text Generation with Self-Memory Xin Cheng, Di Luo, Xiuying Chen, Lemao Liu, Dongyan Zhao, Rui Yan
ICML 2023 Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows Owen M Dugan, Peter Y. Lu, Rumen Dangovski, Di Luo, Marin Soljacic
NeurIPS 2023 QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning Di Luo, Jiayu Shen, Rumen Dangovski, Marin Soljacic
NeurIPSW 2022 Data-Driven Acceleration of Quantum Optimization and Machine Learning via Koopman Operator Learning Di Luo, Jiayu Shen, Rumen Dangovski, Marin Soljacic
NeurIPSW 2022 Gauge Equivariant Neural Networks for 2+1d U(1) Gauge Theory Simulations in Hamiltonian Formulation Di Luo, Shunyue Yuan, James Stokes, Bryan Clark