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Jibing Gong

ACL 2026KDD 2026SIGIR 2026评测与基准多模态推理可解释性效率与系统
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0 一作 · 3 篇 · ACL 2026 / KDD 2026 / SIGIR 2026

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2026 顶会论文

3
作者位次 #6/7ACL 2026Findings· Findings of ACL

P lot G en-Bench: Evaluating VLM s on Generating Visualization Code from Diverse Plots across Multiple Libraries

Yi Zhao · ZHEN YANG · Shuaiqi Duan · Wenmeng Yu · Zhe Su · Jibing Gong · Jie Tang

摘要

Recent advances in vision–language models (VLMs) have expanded their multimodal code generation capabilities, yet their ability to generate executable visualization code from plots, especially for complex 3D, animated, plot-to-plot transformations, or multi-library scenarios, remains underexplore...

多模态评测与基准推理OpenReview 项目页
作者位次 #5/5SIGIR 2026Poster· Information Retrieval (Short)

Differentiable Dual Anchor Negative Sampling for Graph-based Recommendation

Xi Wu · Wenzhe Zhang · Kexin Zhao · Jiquan Peng · Jibing Gong

摘要

Negative sampling plays a pivotal role in training recommendation systems with implicit feedback, where the effectiveness of negatives directly impacts model convergence and recommendation quality. The key challenge is to efficiently mine high-quality hard negatives from the massive item space. E...

可解释性效率与系统评测与基准OpenReview

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