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Hongran An

ACL 2026×2评测与基准多模态检索与知识社会与人本智能体与工具
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一作贡献30
核心/参与5
方向广度10
合作网络3
1 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #9/15ACL 2026Poster· Natural Language Processing

Musical Score Understanding Benchmark: Evaluating Large Language Models’ Comprehension of Complete Musical Scores

Congren Dai · Yue Yang · Krinos Li · Huichi Zhou · Shijie Liang · Bo Zhang · Enyang Liu · Ge Jin · Hongran An · Haosen Zhang · Peiyuan Jing · Kinhei Lee · Zhenxuan Zhang · Xiaobing Li · Maosong Sun

摘要

Understanding complete musical scores entails integrated reasoning over pitch, rhythm, harmony, and large-scale structure, yet the ability of Large Language Models and Vision–Language Models to interpret full musical notation remains insufficiently examined.We introduce Musical Score Understandin...

多模态评测与基准检索与知识OpenReview 项目页
一作ACL 2026Workshop· ACL System Demonstrations

MOOSE -Copilot: A Web-Based Interactive Assistant for Unified Exploratory and Fine-Grained Scientific Hypothesis Discovery

Hongran An · Zonglin Yang

摘要

Large language models (LLMs) show remarkable potential in scientific hypothesis discovery. However, existing approaches face two critical limitations: they treat divergent exploratory search and convergent fine-grained refinement as isolated tasks, and they operate autonomously with little to no...

社会与人本智能体与工具评测与基准OpenReview 项目页

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