Lin Long 龙麟

kylin0long AT gmail DOT com

Hi! I am a first-year master student in Computer Science at Zhejiang University, co-advised by Junbo Zhao and Haobo Wang. I am now visiting the University of Wisconsin-Madison, supervised by Sharon Li. I also work closely with Boyi Li. Previously, I received my B.E. degree in Software Engineering at Zhejiang University.
I am currently devoted to the field of machine learning and multimodal learning. My aspiration is to uncover the secrets of human cognition, and develop AI systems that learn and think more like humans.
Outside of academia, I am a big fan of all kinds of art and competitive sports.
Big shout out to my parents for always supporting me and being the greatest mom and dad of all time. 🩵

University of Wisconsin-Madison

Visiting student. Working on multimodal learning.

Advisor: Sharon Li

2025-Present

ByteDance Seed

Research intern. Working on multimodal agent.

Advisors: Yuan Lin, Hang Li

2024-2025

Zhejiang University

M.S. in Computer Science, College of Computer Science and Technology.

Advisors: Junbo "Jake" Zhao, Haobo Wang

2024-Present

Zhejiang University

B.E. in Software Engineering, College of Computer Science and Technology.

Advisors: Junbo "Jake" Zhao, Haobo Wang

2020-2024

🔥 What's new?

2025.01

One paper accepted to ICLR 2025, which delves into table-text multimodal learning, one of the core parts of TableGPT2! Stay tuned for the upcoming camera-ready paper and source code!

2024.12

I am joining the ByteDance Seed as a research intern! Looking forward to building something cool on multimodal agents with the team! 🤩

2024.11

We release TableGPT2, an open-source table expert that excels in table-centric tasks while maintaining strong general language and coding abilities! Try out our brand new 7B model on 🤗HuggingFace!

🗒️ Preprints

Research Areas:LLMMMWSLCVMLSD

arXiv

TableGPT2: A Large Multimodal Model with Tabular Data Integration
TableGPT Team (as directional lead of table encoder)

LLMMM

📝 Publications

(* denotes equal contribution)

ICLR 2025

Bridging the Semantic Gap Between Text and Table: A Case Study on NL2SQL
Lin Long*, Xijun Gu*, Xinjie Sun, Wentao Ye, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao

LLMMM

ACL 2024 Findings

On LLMs-Driven Synthetic Data Generation, Curation and Evaluation: A Survey
Lin Long, Rui Wang, Ruixuan Xiao, Junbo Zhao, Xiao Ding, Gang Chen, Haobo Wang

LLMSDWSL

CVPR 2024

Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation
Lin Long*, Haobo Wang*, Zhijie Jiang, Lei Feng, Chang Yao, Gang Chen, Junbo Zhao

CVWSLML

USENIX '24 Fall

Property Existence Inference against Generative Models
Lijin Wang, Jingjing Wang, Jie Wan, Lin Long, Ziqi Yang, Zhan Qin