I’m an incoming CS Ph.D. student @USC, advised by Prof. Jieyu Zhao. Before that, I was a M.Eng student at Graduated School of Creative Science and Engineering @Waseda University (早稲田大学), Tokyo, supervised by Prof. Masayuki Goto (Japanese only). I also spent my time as a research assistant @UMD, advised by Prof.Tianyi Zhou, and University of Tokyo (東京大学), advised by Prof.Irene Li. I also work closely with Jieyu Zhang, who focuses on interactive and data-centric AI/ML.
Research Interests: My research interest lies in the realm of Natural Language Processing. Specifically, I’m trying to answer the following questions:
- How can we comprehensively evaluate an LLM in different domains?
- How can we extend LLMs’ ability with minimal costs?
- How can we let LLMs collaborate safely, efficiently, and effectively to solve real-world problems?
📢 News
[05/31/2024] A new preprint is released. Check Adaptive In-conversation Team Building for Language Model Agents for more details!
[04/10/2024] I will join CS@USC as a PhD student this fall!
[11/26/2023] I completed my first feature contribution to AutoGen! Check the AutoBuild’s blog for more details.
📝 Selected Publications
(* denotes equal contribution)
Preprint
- Adaptive In-conversation Team Building for Language Model Agents
Linxin Song*, Jiale Liu*, Jieyu Zhang, Shaokun Zhang, Ao Luo, Shijian Wang, Qingyun Wu, Chi Wang
Peer-reviewed
- Offline Training of Language Model Agents with Functions as Learnable Weights
Shaokun Zhang*, Jieyu Zhang*, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu
ICML 2024. - Better Explain Transformers by Illuminating Important Information
Linxin Song, Yan Cui, Ao Luo, Freddy Lecue, Irene Li
EACL 2024 (findings). - NLPBench: Evaluating Large Language Models on Solving NLP Problems
Linxin Song, Jieyu Zhang, Lechao Cheng, Pengyuan Zhou, Tianyi Zhou, Irene Li
ITIF @ NeurIPS 2023. - Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision
Jieyu Zhang*, Linxin Song*, Alexander Ratner
AISTATS 2023. - Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification
Linxin Song, Jieyu Zhang, Tianxiang Yang, Masayuki Goto
EMNLP 2022 (findings).
🧑🏫 Teaching
- (TA) DSCI-250: Introduction to Data Science, 2024 Fall
👨💻 Internships
- University of Tokyo - Research Assistant
2023.02-2024.02
Advised by Irene Li - University of Maryland, College Park - Research Assistant
2022.07-2023.10
Advised by Tianyi Zhou - University of Washington - Research Intern
2022.03-2022.11
Advised by Alex Ratner and Jieyu Zhang
🏅 Professional Services
- Reviewer: WACV 2023, ECML-PKDD 2023, NeurIPS 2023, DMLR 2023, ICLR 2024, AISTATS 2024, ACL 2024 (ARR Feb), NeurIPS 2024, EMNLP 2024 (ARR June)