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Fengxian Ji

ACL 2026×3AAAI 2026ICML 2026多模态评测与基准智能体与工具可解释性社会与人本
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合作网络12
2 一作 · 5 篇 · ACL 2026 / AAAI 2026 / ICML 2026

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2026 顶会论文

5
一作ACL 2026Poster· Natural Language Processing

S erv I mage: An Image Generation and Editing Benchmark from Real-world Commercial Imaging Services

Fengxian Ji · Jingpu Yang · Zirui Song · Lang Gao · Junhong Liang · Zhenhao Chen · Jinghui Zhang · Xiuying Chen

摘要

Recent image generation and editing models demonstrate robust adherence to instructions and high visual quality on academic benchmarks.However, their performance on paid, real-world design projects remains uncertain. We introduce ServImage , a benchmark that explicitly correlates model outputs wi...

多模态检索与知识评测与基准OpenReview 项目页
作者位次 #15/22ACL 2026Workshop· ACL System Demonstrations

F in R eporting: An Agentic Workflow for Localized Reporting of Cross-Jurisdiction Financial Disclosure

Fan Zhang · Mingzi Song · Rania Elbadry · Yankai Chen · Shaobo Wang · Yixi Zhou · Xunwen Zheng · Yueru He · Yuyang Dai · Georgi Nenkov Georgiev · Ayesha Gull · Muhammad Usman Safder · Fan Wu · Liyuan Meng · Fengxian Ji · Junning Zhao · Xueqing Peng · Jimin Huang · YU Chen · Xue Liu · Preslav Nakov · Zhuohan Xie

摘要

Financial reporting systems increasingly leverage Large Language Models (LLMs) to extract and summarize corporate disclosures. However, most existing approaches assume a single-market setting and overlook structural differences across jurisdictions. Variations in accounting taxonomies, tagging in...

智能体与工具对齐与偏好多模态OpenReview 项目页
一作ACL 2026Findings· Findings of ACL

F ine S tate-Bench: Benchmarking State-Conditioned Grounding for Fine-grained GUI State Setting

Fengxian Ji · Jingpu Yang · Zirui Song · Yuanxi Wang · Zhexuan Cui · Yuke Li · Qian Jiang · Xiuying Chen

摘要

Despite the rapid progress of large vision-language models (LVLMs), fine-grained, state-conditioned GUI interaction remains challenging. Current evaluations offer limited coverage, imprecise target-state definitions, and an overreliance on final-task success, obscuring where and why agents fail.T...

智能体与工具多模态评测与基准OpenReview 项目页

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