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Yanbei Jiang

ACL 2026×2对齐与偏好可解释性强化学习与后训练多模态检索与知识
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一作贡献30
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方向广度10
合作网络9
1 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
一作ACL 2026Poster· Natural Language Processing

Controlling Distributional Bias in Multi-Round LLM Generation via KL -Optimized Fine-Tuning

Yanbei Jiang · Amr Keleg · Ryandito Diandaru · Jey Han Lau · Lea Frermann · Biaoyan Fang · Fajri Koto

摘要

While the real world is inherently stochastic, Large Language Models (LLMs) are predominantly evaluated on single-round inference against fixed ground truths. In this work, we shift the lens to distribution alignment: assessing whether LLMs, when prompted repeatedly, can generate outputs that adh...

对齐与偏好可解释性强化学习与后训练OpenReview 项目页
作者位次 #4/9ACL 2026Findings· Findings of ACL

A Survey on MLLM -based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends

Yihao Ding · Siwen Luo · Yue Dai · Yanbei Jiang · Zechuan Li · Qiang Sun · Geoffrey Martin · Wei Liu · Yifan Peng

摘要

Visually Rich Document Understanding (VRDU) has become a pivotal area of research, driven by the need to automatically interpret documents that contain intricate visual, textual, and structural elements. Recently, Multimodal Large Language Models (MLLMs) have demonstrated significant promise in t...

多模态检索与知识智能体与工具OpenReview 项目页

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