Linxin Song
問い続ける。
Linxin Song is a second-year Computer Science Ph.D. student at the University of Southern California, advised by Prof. Jieyu Zhao. Before that, he was a M.Eng student at the Graduate School of Creative Science and Engineering, Waseda University (早稲田大学) in Tokyo, supervised by Prof. Masayuki Goto. He also collaborates closely with Jieyu Zhang, whose work centers on interactive and data-centric AI/ML.
Research Interests
My research interest lies in the realm of natural language processing and synthetic data. Specifically, I’m trying to answer the following questions:
- How can we comprehensively evaluate an LLM/VLM in different domains?
- How can we extend ability of LLM/VLM with minimal costs?
- How can we let LLM/VLMs collaborate safely, efficiently, and effectively to solve real-world problems?
Selected Publications
(* denotes equal contribution)
Reinforcement Finetuning
- Experiential Reinforcement Learning
Taiwei Shi, Sihao Chen, Bowen Jiang, Linxin Song, Longqi Yang, Jieyu Zhao - The Hallucination Tax of Reinforcement Finetuning
Linxin Song*, Taiwei Shi*, Jieyu Zhao
EMNLP 2025 (findings)
Covered by: MarkTechPost - Efficient Reinforcement Finetuning via Adaptive Curriculum Learning
Taiwei Shi, Yiyang Wu, Linxin Song, Tianyi Zhou, Jieyu Zhao
Preprint
Agentic AI
- CoAct-1: Computer-using Agents with Coding as Actions
Linxin Song, Yutong Dai, Viraj Prabhu, Jieyu Zhang, Taiwei Shi, Li Li, Junnan Li, Silvio Savarese, Zeyuan Chen, Jieyu Zhao, Ran Xu, Caiming Xiong
ICLR 2026.
Covered by: MarkTechPost | VentureBeat - 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
AIA @COLM 2025.
Language Model Evaluation
- NEW! Video-Based Reward Modeling for Computer-Use Agent
Linxin Song, Jieyu Zhang, Huanxin Sheng, Taiwei Shi, Gupta Rahul, Yang Liu, Ranjay Krishna, Jian Kang, Jieyu Zhao
Preprint - Discovering Knowledge Deficiencies of Language Models on Massive Knowledge Base
Linxin Song, Xuwei Ding, Jieyu Zhang, Taiwei Shi, Ryotaro Shimizu, Rahul Gupta, Yang Liu, Jian Kang, Jieyu Zhao
COLM 2025 | Webpage - Explaining Length Bias in LLM-Based Preference Evaluations
Zhengyu Hu, Linxin Song, Jieyu Zhang, Zheyuan Xiao, Jingang Wang, Zhenyu Chen, Hui Xiong
EMNLP 2025 (findings)
Before PhD
- Attributed Synthetic Data Generation for Zero-shot Image Classification
Shijian Wang, Linxin Song, Ryotaro Shimizu, Masayuki Goto, Hanqian Wu
ICME 2025 (Oral) - 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.
Covered by: The Forbes Article - ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models
Jieyu Zhang, Le Xue, Linxin Song, Jun Wang, Weikai Huang, Manli Shu, An Yan, Zixian Ma, Juan Carlos Niebles, silvio savarese, Caiming Xiong, Zeyuan Chen, Ranjay Krishna, Ran Xu
Covered by: VentureBeat | MarkTechPost - Better Explain Transformers by Illuminating Important Information
Linxin Song, Yan Cui, Ao Luo, Freddy Lecue, Irene Li
EACL 2024 (findings). - Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model
Shijian Wang*, Linxin Song*, Jieyu Zhang, Ryotaro Shimizu, Ao Luo, Li Yao, Cunjian Chen, Julian McAuley, Haiqian Wu - 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
- (TA) DSCI-566: Deep Learning and its Applications, 2025 Spring
Internships
- Salesforce Research - Research Intern
2025.05-2026.01 - Google
2026.02-now
Professional Services
- Maintainer of AG2 (Autogen).
- Reviewer (for multiple years): WACV, KDD, NeurIPS, DMLR, ICLR, AISTATS, ACL, EMNLP, etc