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Yao Yao

ACL 2026×3推理多模态评测与基准长上下文与架构安全
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一作贡献30
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1 一作 · 3 篇 · ACL 2026

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2026 顶会论文

3
作者位次 #3/8ACL 2026Poster· Natural Language Processing

B o Y a E val: Evaluating Multimodal Large Language Models on Understanding A ncient C hinese Musical Scores

Jiajia Li · Weizhi Xue · Yao Yao · Qiwei Li · Chenchong · Zuchao Li · Ping Wang · Hai Zhao

摘要

Multimodal Large Language Models (MLLMs) excel in general tasks but struggle with specialized, structured cultural symbols. We introduce BoYaEval, the first comprehensive benchmark dedicated to deciphering diverse Ancient Chinese musical notations, including five types of ancient Chinese music no...

推理多模态评测与基准OpenReview 项目页
一作ACL 2026Poster· Natural Language Processing

PAR : Training-Free Positional Perturbation and Attention Recycling for Faithful OCR

Yao Yao · Manwen Liao · Weitian Zhang · Zuchao Li · Hai Zhao

摘要

In high-precision scenarios, vision language models suffer from Linguistic Priors Hallucination. When processing familiar text, models tend to over-rely on internal parametric knowledge, effectively “reciting” the content rather than “reading” the image. In this paper, we first systematically inv...

多模态长上下文与架构安全OpenReview 项目页
作者位次 #3/6ACL 2026Findings· Findings of ACL

G o T - R 1: Internalizing Graph-of-Thought via Structural Reinforcement for High-Density Reasoning

Zuchao Li · Qiwei Li · Yao Yao · Hai Zhao · Lefei Zhang · Bo Du

摘要

Chain-of-Thought (CoT) reasoning, while effective, suffers from an inherent mechanism flaw: linearity induces overthinking. Constrained by sequential generation, models often produce redundant narration and circular self-corrections to maintain logical context. We propose GoT-R1, a framework that...

推理强化学习与后训练可解释性OpenReview 项目页

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