Lin Long

Lin Long ( 龍麟)

"Long" = "Dragon🐉" in Chinese

CV Github G-Scholar

kylin0long AT gmail DOT com

Hi! I am a research intern at AI-Lab, ByteDance Research, advised by Hang Li. Previously, I earned my B.Eng. in Software Engineering from Zhejiang University, where my wonderful research journey in artificial intelligence began under the supervision of Junbo Zhao and Haobo Wang.
My research interests lie in natural language processing and multimodal learning, with a broader goal of understanding human cognition and developing AI systems that learn and reason more like humans.
Outside of academia, I am also a big fan of art, design, and all kinds of competitive sports! 😋
Big shout out to my parents for always supporting me and being the greatest mom and dad of all time. 🩵

ByteDance Research Logo

ByteDance Research

Research intern at AI-Lab. Working on multimodal agent.

Yuan Lin, Hang Li

2024-Present

Zhejiang University Logo

Zhejiang University

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

Junbo 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 Research AI-Lab 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:LLMMMWSLCVMLSDSec
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 Security '24 Fall
Property Existence Inference against Generative Models
Lijin Wang, Jingjing Wang, Jie Wan, Lin Long, Ziqi Yang, Zhan Qin
SecML