Lin Ju — accepted AI-conference papers

2026

Ref-Adv: Exploring MLLM Visual Reasoning in Referring Expression Tasks

Qihua Dong, Kuo Yang, Lin Ju, Handong Zhao, Yitian Zhang, Yizhou Wang +3

ICLR 2026poster

Referring Expression Comprehension (REC) links language to region level visual perception. Standard benchmarks (RefCOCO, RefCOCO+, RefCOCOg) have progressed rapidly with multimodal LLMs but remain weak tests of visual rea- soning and grounding: (i) many expressions are very short, leaving little rea…

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2024

Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models

Hanxiao Zhang, Lin JU, Chan Wu, Jinjing Huang, Youshao Xiao, Zhenglei Zhou +7

NeurIPS 2024poster

Recently, various strategies for distributed training of large language models (LLMs) have been proposed. By categorizing them into basic strategies and composite strategies, we have discovered that existing basic strategies provide limited options in specific scenarios, leaving considerable room fo…

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