Papers by Junhan Liu
M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning (2024.emnlp-main)
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Taowen Wang, Yiyang Liu, James Liang, Junhan Zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu
| Challenge: | Multimodal Large Language Models (MLLMs) exhibit remarkable performance across a wide range of domains. |
| Approach: | They propose a multimodal prompt tuning approach for efficient instruction tuning of MLLMs. |
| Outcome: | The proposed approach shows superior performance on multimodal evaluation datasets compared to state-of-the-art methods. |
Longtriever: a Pre-trained Long Text Encoder for Dense Document Retrieval (2023.emnlp-main)
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| Challenge: | Existing PLMs are infeasible for processing long documents due to computational costs and incomprehensive document understanding. |
| Approach: | They propose a retrieval model that models local semantics and global context semantics in a tightly-coupled manner. |
| Outcome: | The proposed model overcomes three core challenges of long document retrieval: substantial computational cost, incomprehensive document understanding, and scarce annotations. |
Gardener: An Agentic AI System for Single-Cell RNA Sequence Analysis (2026.acl-demo)
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| Challenge: | Existing large language models encode workflow progress as conversational state and rely on cloud-centric execution, which hinders traceability and auditability. |
| Approach: | Gardener is an open-source desktop application for macOS and windows under the Apache License 2.0. |
| Outcome: | Gardener is released as an open-source desktop application for macOS and Windows under the Apache License 2.0. |