ZHANG HAO
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Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning
Multimodal Large Language Models (MLLMs) have demonstrated impressive capabilities in understanding common visual elements such as …
LASA Team
,
Weiwen Xu
,
Hou Pong Chan
,
Long Li
,
Mahani Aljunied
,
Ruifeng Yuan
,
Jianyu Wang
,
Chenghao Xiao
,
Guizhen Chen
,
Chaoqun Liu
,
Zhaodonghui Li
,
Yu Sun
,
Junao Shen
,
Chaojun Wang
,
Jie Tan
,
Deli Zhao
,
Tingyang Xu
,
Hao Zhang
,
Yu Rong
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📌ArXiv'25
ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning
Though reasoning-based large language models (LLMs) have excelled in mathematics and programming, their capabilities in …
Yu Sun
,
Xingyu Qian
,
Weiwen Xu
,
Hao Zhang
,
Chenghao Xiao
,
Long Li
,
Yu Rong
,
Wenbing Huang
,
Qifeng Bai
,
Tingyang Xu
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📌ArXiv'25
SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval
The performance of Dense retrieval (DR) is significantly influenced by the quality of negative sampling. Traditional DR methods …
Xiaopeng Li
,
Xiangyang Li
,
Hao Zhang
,
Zhaocheng Du
,
Pengyue Jia
,
Yichao Wang
,
Xiangyu Zhao
,
Huifeng Guo
,
Ruiming Tang
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📌ArXiv'24
Hesitation and Tolerance in Recommender Systems
User interactions in recommender systems are inherently complex, often involving behaviors that go beyond simple acceptance or …
Kuan Zou
,
Aixin Sun
,
Xuemeng Jiang
,
Yitong Ji
,
Hao Zhang
,
Jing Wang
,
Ruijie Guo
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📌ArXiv'24
Learning to Compress Contexts for Efficient Knowledge-based Visual Question Answering
Multimodal Large Language Models (MLLMs) have demonstrated great zero-shot performance on visual question answering (VQA). However, …
Weixi Weng
,
Jieming Zhu
,
Hao Zhang
,
Xiaojun Meng
,
Rui Zhang
,
Chun Yuan
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📌ArXiv'24
All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era
Recommender systems (RS) are vital for managing information overload and delivering personalized content, responding to users’ …
Bo Chen
,
Xinyi Dai
,
Huifeng Guo
,
Wei Guo
,
Weiwen Liu
,
Yong Liu
,
Jiarui Qin
,
Ruiming Tang
,
Yichao Wang
,
Chuhan Wu
,
Yaxiong Wu
,
Hao Zhang
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📌ArXiv'24
How Can Recommender Systems Benefit from Large Language Models: A Survey
With the rapid development of online services and web applications, recommender systems (RS) have become increasingly indispensable for …
Jianghao Lin
,
Xinyi Dai
,
Yunjia Xi
,
Weiwen Liu
,
Bo Chen
,
Hao Zhang
,
Yong Liu
,
Chuhan Wu
,
Xiangyang Li
,
Chenxu Zhu
,
Huifeng Guo
,
Yong Yu
,
Ruiming Tang
,
Weinan Zhang
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📌TOIS
Evaluating the External and Parametric Knowledge Fusion of Large Language Models
Integrating external knowledge into large language models (LLMs) presents a promising solution to overcome the limitations imposed by …
Hao Zhang
,
Yuyang Zhang
,
Xiaoguang Li
,
Wenxuan Shi
,
Haonan Xu
,
Huanshuo Liu
,
Yasheng Wang
,
Lifeng Shang
,
Qun Liu
,
Yong Liu
,
Ruiming Tang
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📌ArXiv'24
Towards Debiasing Temporal Sentence Grounding in Video
The temporal sentence grounding in video (TSGV) task is to locate a temporal moment from an untrimmed video, to match a language query, …
Hao Zhang
,
Aixin Sun
,
Wei Jing
,
Joey Tianyi Zhou
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📌ArXiv'21
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