Liliang Ren
Hi! I am a Senior Researcher at Microsoft GenAI, and a graduating PhD candidate in Computer Science at University of Illinois Urbana-Champaign. I am fortunate to be advised by Prof. Chengxiang Zhai, and work with Prof. Heng Ji and Prof. Julia Hockenmaier. I finished my master degree at University of California San Diego advised by Prof. Julian McAuley, and my undergraduate degree at Shanghai Jiao Tong University working with Prof. Kai Yu.
My long-term research goal is to develop artifical neural architectures with superhuman efficiency and interpretability, and apply them to discover new structured knowledge from natural signals. Specifically, I am interested in the following areas:
- Efficient and Interpretable Sequence Modeling: dynamic and modular sparsity for long sequence modeling, language modeling with latent type learning.
- Structured Text Generation: text-to-graph extraction, dialogue state tracking and generation.
For a complete list of publications, please check here.
News
Jun 12, 2024 | Excited to announce our Samba-3.8B paper! It outperforms Phi-3-mini on major benchmarks by a large margin, while having infinite context length with linear complexity!🚀 Checkout my twitter for a brief introduction! |
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Sep 21, 2023 | One paper on Efficient Sequence Modeling got accepted by NeurIPS 2023! |
Jul 31, 2023 | Gave a talk on my recent work of Sparse Modular Activation at Microsoft Research! |
Jul 18, 2023 | Proud to announce the paper and the code of my previous internship work on Efficient Sequence Modeling at Microsoft Research! |
May 23, 2023 | One paper on Dialogue Evaluation is accepted for oral presentation at the DialDoc workshop at ACL 2023! |
May 15, 2023 | Started my summer research internship at Amazon Science, working on a confidential project of Large Language Model! |
Oct 6, 2022 | One paper on Language Model Pre-training got accepted as Oral presentation by EMNLP 2022! |
May 15, 2022 | Started my summer Research Intern at the Knowledge and Language Team of Microsoft Research! Working with Yang Liu, Shuohang Wang and Yichong Xu. |
Selected Publications
- EMNLPScalable and Accurate Dialogue State Tracking via Hierarchical Sequence GenerationProceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Nov 2019