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Liang Dou

ACL 2026×2ICML 2026×2推理对齐与偏好评测与基准社会与人本多模态
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0 一作 · 4 篇 · ACL 2026 / ICML 2026

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2026 顶会论文

4
作者位次 #8/11ACL 2026Findings· Findings of ACL

APEX : Learning Adaptive Priorities for Multi-Objective Alignment in Vision-Language Generation

Dongliang Chen · Xinlin Zhuang · Junjie Xu · Luojian Xie · Zehui Wang · Jiaxi Zhuang · Haolin Yang · Liang Dou · Xiao He · Xingjiao Wu · Ying Qian

摘要

Multi-objective alignment for text-to-image generation is commonly implemented via static linear scalarization, but fixed weights often fail under heterogeneous rewards, leading to optimization imbalance where models overfit high-variance, high-responsiveness objectives (e.g., OCR) while under-op...

多模态推理对齐与偏好OpenReview 项目页
作者位次 #6/7ACL 2026Findings· Findings of ACL

LLM - KT : Enhancing Large Language Models with Knowledge Tracing via Multi-Level Plug-and-Play Alignment

Ziwei Wang · Jie Zhou · Qin Chen · Bo Jiang · Qingchun Bai · Liang Dou · Liang He

摘要

Knowledge Tracing (KT) is a pivotal task in personalized education, aiming to predict students’ future performance based on their historical interactions. While prior work has focused on learning behavioral sequences using question IDs or surface-level textual features, these methods often fail t...

对齐与偏好可解释性推理OpenReview 项目页

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